US20090163973A1 - Cardiac Signal Template Generation Using Waveform Clustering - Google Patents

Abstract

Cardiac devices and methods using cardiac waveform clustering for template generation are described. A method of characterizing a cardiac response involves delivering pacing pulses to heart, the pulses having an energy greater than a capture threshold. Cardiac signals are sensed following the pulses. Cardiac signal characteristics, waveforms, and/or features are clustered into a plurality of clusters. A cardiac response template is formed using one or more of the plurality of clusters.

Description

RELATED PATENT DOCUMENTS
• This is a divisional of U.S. patent application Ser. No. 11/116,544, filed on Apr. 28, 2005, to issue as U.S. Pat. No. 7,499,751 on Mar. 3, 2009, to which Applicant claims priority under 35 U.S.C. §120, and which is incorporated herein by reference.
FIELD OF THE INVENTION
• The present invention relates generally to implantable medical devices and, more particularly, to cardiac devices and methods using cardiac waveform clustering for template generation.
BACKGROUND OF THE INVENTION
• When functioning normally, the heart produces rhythmic contractions and is capable of pumping blood throughout the body. However, due to disease or injury, the heart rhythm may become irregular resulting in diminished pumping efficiency. Arrhythmia is a general term used to describe heart rhythm irregularities arising from a variety of physical conditions and disease processes. Cardiac rhythm management systems, such as implantable pacemakers and cardiac defibrillators, have been used as an effective treatment for patients with serious arrhythmias. These systems typically comprise circuitry to sense electrical signals from the heart and a pulse generator for delivering electrical stimulation pulses to the heart. Leads extending into the patient's heart are connected to electrodes that contact the myocardium for sensing the heart's electrical signals and for delivering stimulation pulses to the heart in accordance with various therapies for treating the arrhythmias.
• Cardiac rhythm management systems operate to stimulate the heart tissue adjacent to the electrodes to produce a contraction of the tissue. Pacemakers are cardiac rhythm management systems that deliver a series of low energy pace pulses timed to assist the heart in producing a contractile rhythm that maintains cardiac pumping efficiency. Pace pulses may be intermittent or continuous, depending on the needs of the patient. There exist a number of categories of pacemaker devices, with various modes for sensing and pacing one or more heart chambers.
• When a pace pulse produces a contraction in the heart tissue, the electrical cardiac signal preceding the contraction is denoted the captured response (CR). The captured response typically includes an electrical signal, denoted the evoked response signal, associated with the heart contraction, along with a superimposed signal associated with residual post pace polarization at the electrode-tissue interface. The magnitude of the residual post pace polarization signal, or pacing artifact, may be affected by a variety of factors including lead polarization, after-potential from the pace pulse, lead impedance, patient impedance, pace pulse width, and pace pulse amplitude, for example.
• A pace pulse must exceed a minimum energy value, or capture threshold, to produce a contraction. It is desirable for a pace pulse to have sufficient energy to stimulate capture of the heart without expending energy significantly in excess of the capture threshold. Thus, accurate determination of the capture threshold is required for efficient pace energy management. If the pace pulse energy is too low, the pace pulses may not reliably produce a contractile response in the heart and may result in ineffective pacing. If the pace pulse energy is too high, the patient may experience discomfort and the battery life of the device will be shorter.
• Detecting if a pacing pulse “captures” the heart and produces a contraction allows the cardiac rhythm management system to adjust the energy level of pace pulses to correspond to the optimum energy expenditure that reliably produces capture. Further, capture detection allows the cardiac rhythm management system to initiate a back-up pulse at a higher energy level whenever a pace pulse does not produce a contraction.
• A fusion beat is a cardiac contraction that occurs when two cardiac depolarizations of a particular chamber, but from separate initiation sites, merge. At times, a depolarization initiated by a pacing pulse may merge with an intrinsic beat, producing a fusion beat. Fusion beats, as seen on electrocardiographic recordings, exhibit various morphologies. The merging depolarizations of a fusion beat do not contribute evenly to the total depolarization.
• Pseudofusion occurs when a pacing stimulus is delivered on a spontaneous P wave during atrial pacing or on a spontaneous QRS complex during ventricular pacing. In pseudofusion, the pacing stimulus may be ineffective because the tissue around the electrode has already spontaneously depolarized and is in its refractory period.
• Capture detection, for example, involves discriminating captured beats from fusion/pseudofusion beats, intrinsic beats, noise, and noncapture. Discriminating between various cardiac responses can be accomplished by comparing cardiac signals to templates representative of various response types. The present invention involves methods and systems for creating templates used in connection with recognizing various cardiac responses.
SUMMARY OF THE INVENTION
• The present invention involves various cardiac devices and methods using cardiac waveform clustering for template generation. A method of characterizing a cardiac response in accordance with the present invention involves delivering pacing pulses to heart, the pacing pulses having an energy greater than a capture threshold. Cardiac signals are sensed following the pacing pulses. One or more initial templates may be selectively updated using the sensed cardiac signals. A cardiac response template may be formed using one or more selected templates. Selectively updating the initial templates may involve using selected ones of the sensed cardiac signals to update a particular template. Embodiments may further involve selectively updating the templates by comparing the sensed cardiac signals to each of the templates, and selectively updating the templates using the cardiac signals based on the comparison, such as by comparing cardiac signal features to template features and/or by determining a similarity between each template and each cardiac signal and selectively updating a particular template having a particular similarity to a particular cardiac signal.
• Selectively updating the templates may involve associating a counter with each template and incrementing the counter associated with a particular template if the particular template is updated. Characterizing the cardiac response using the selected template may involve characterizing the cardiac response using a particular template correlated to a higher number of cardiac signals than other templates. The selected template may be used to classify a cardiac response to pacing beat by beat, during capture threshold testing, and/or for automatic capture verification.
• Other methods of characterizing a cardiac response to pacing in accordance with the present invention involve delivering pacing pulses to a heart sufficient in energy to effect capture and sensing cardiac signals respectively following delivery of the pacing pulses. The cardiac signals are clustered, defining a plurality of clusters, so that cardiac response templates may be formed using a selected one or more of the plurality of clusters. One or more features of the cardiac signals may be used to define the plurality of clusters, such as peak times of the cardiac signals, peak times associated with negative polarity peaks and/or positive polarity peaks, peak-amplitudes of the cardiac signals, or other features or signal attributes. A cardiac response template may be formed using selected clusters by forming the cardiac response template using a cluster associated with a greatest number of cardiac signals having similar characteristics.
• Further embodiments of the present invention are directed to devices for characterizing a cardiac response to pacing. The device may include a sensing system configured to sense cardiac signals following pacing pulses delivered to a heart, having a processor coupled to the sensing system. The processor may be configured to selectively update a plurality of templates using the cardiac signals, and to characterize the cardiac response to pacing using a selected template of the templates. The processor may further be configured to provide one or more initial templates and selectively update the initial templates. The processor may be configured to compare the cardiac signals from a paced response to each of the templates and to selectively update the templates using the cardiac signals based on the comparison.
• Other embodiments provide for the processor to be configured to determine a similarity between each template and each cardiac signal, and to update a particular template having a particular similarity to a particular cardiac signal. The processor may be configured to characterize the cardiac response using a template selected by a criterion, such as by matching a predetermined number cardiac signals before other templates are matched to the predetermined number of cardiac signals.
• Yet another embodiment involves system for characterizing a cardiac response to pacing. The system includes a pulse generator configured to deliver pacing pulses to a heart sufficient in energy to effect capture. A sensor system is configured to sense cardiac signals respectively following delivery of the pacing pulses. A processor is coupled to the sensor system and is configured to cluster the cardiac signals to define a plurality of clusters and to form a cardiac response template using a selected one or more of the plurality of clusters.
• The above summary of the present invention is not intended to describe each embodiment or every implementation of the present invention. Advantages and attainments, together with a more complete understanding of the invention, will become apparent and appreciated by referring to the following detailed description and claims taken in conjunction with the accompanying drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
• FIGS. 1A and 1B are flowcharts illustrating methods using cardiac waveform clustering for template generation in accordance with embodiments of the invention;
• FIG. 2A is a concept diagram illustrating the use of clustering for template creation in accordance with embodiments of the invention;
• FIG. 2B is a flowchart of a method of using cardiac waveform clustering for template generation in accordance with embodiments of the invention;
• FIGS. 2C and 2D are flowcharts illustrating methods of generating templates in accordance with embodiments of the invention;
• FIG. 3 is a graph illustrating a number of cardiac signals representing captured responses, fusion responses, and an intrinsic response that may be utilized for cardiac response template generation in accordance with embodiments of the invention;
• FIG. 4 is a graph that depicts the peaks of the captured signals, the fusion beats, and the intrinsic response illustrated inFIG. 3;
• FIG. 5 illustrates cardiac response detection windows that may be used to form templates in accordance with embodiments of the invention;
• FIGS. 6 and 7 illustrate how detection windows formed by clustering can be used to detect various types of cardiac responses to pacing in accordance with embodiments of the invention;
• FIGS. 8A-8D illustrate adjustment of a detection window to accommodate for changes in cardiac signal morphology in accordance with embodiments of the invention;
• FIG. 9 illustrates a cardiac rhythm management device that may be used to implement template generation in accordance with embodiments of the present invention; and
• FIG. 10 illustrates a block diagram of a cardiac rhythm management (CRM) device suitable for implementing template formation and adaptation in accordance with embodiments of the present invention.
• While the invention is amenable to various modifications and alternative forms, specifics thereof have been shown by way of example in the drawings and will be described in detail below. It is to be understood, however, that the intention is not to limit the invention to the particular embodiments described. On the contrary, the invention is intended to cover all modifications, equivalents, and alternatives falling within the scope of the invention as defined by the appended claims.
DETAILED DESCRIPTION OF VARIOUS EMBODIMENTS
• In the following description of the illustrated embodiments, references are made to the accompanying drawings forming a part hereof, and in which are shown by way of illustration, various embodiments by which the invention may be practiced. It is to be understood that other embodiments may be utilized, and structural and functional changes may be made without departing from the scope of the present invention.
• Recognition of various cardiac conditions may rely on the consistent morphology of the type of cardiac signal associated with that condition. For example, morphology templates may be formed based on samples and/or characteristic features of a cardiac signal associated with a particular cardiac condition. A cardiac device may later compare a sensed cardiac signal to a morphology template and determine that the cardiac condition associated with the morphology template exists if the sensed cardiac signal is sufficiently similar to the morphology template. Similarly, if the sensed cardiac signal is sufficiently different from the morphology template, a condition exclusive of the cardiac condition associated with the morphology template can be determined.
• Determination of the cardiac response to a pacing pulse applied to a heart chamber may be based on morphological features of the cardiac signal sensed in the heart chamber after pacing. The cardiac response to a pacing pulse may include noncapture without intrinsic activity, capture, fusion, pseudofusion, and noncapture with intrinsic activity, for example. Morphology templates can be used to represent one or more of these types of cardiac pacing responses. Cardiac signals sensed after pacing may be compared to one or more morphology templates. In one implementation, samples and/or characteristic features of a cardiac signal are extracted from the cardiac signal and are compared to samples and/or features associated with one or more of morphology templates characterizing a particular type of cardiac pacing response. The type of cardiac pacing response may be determined based on the similarity of the samples and/or characteristic features of the sensed cardiac signal to one of the morphology templates.
• Cardiac response classification may be implemented by a pacemaker, defibrillator, or other cardiac rhythm management (CRM) device to determine the cardiac response to an applied electrical pacing stimulus. Embodiments of the invention are directed to cardiac devices and methods using clustering of the cardiac signals or signal features to generate templates characterizing various types of cardiac responses to pacing.
• Several functions of CRM devices may rely on the consistency of cardiac beats to detect certain conditions. For example, cardiac pacing response characterization algorithms may rely on templates of the heart's response as the basis for determining whether a pacing pulse produces a captured response or other response. However, the morphology of the captured response signal may vary across patients, and change over time. Therefore, templates characterizing the captured response (or other types of cardiac signals) may need to be regularly generated or updated for every patient.
• A flowchart illustrating a method of forming templates in accordance with embodiments of the invention is illustrated inFIG. 1A. A plurality of pacing pulses is delivered112 to the heart. The cardiac signals associated with the pacing pulses are sensed114. Clusters of similar cardiac signals are formed116. The clusters may be used to generate120 templates characterizing one or more types of cardiac pacing responses. Clustering the cardiac signals may be performed using a variety of techniques, including analog and/or digital processing techniques. Several exemplary embodiments directed to clustering processes are described herein, however, other processes may additionally or alternatively used and are considered to be within the scope of the present invention.
• FIG. 1B illustrates another method of forming a template in accordance with embodiments of the invention. A plurality of pacing pulses are delivered130 to the heart and cardiac signals are sensed140 following each pacing pulse. Features of the cardiac signals are extracted150. The cardiac signal features are used to form160 a plurality of clusters. A cardiac pacing response is characterized170 using one or more of the plurality of clusters.
• Consider generating a template for a captured response as an example. One goal is to generate the template for a captured response, and at the same time, avoid the influence of fusion/pseudofusion beats, noise or other types of responses. Including fusion beats in the response template generation adds an error component to the template. Templates that include information from responses other than the desired response may result in less than optimal template correlation to future captured beats, and contribute to impaired discrimination capability.
• Template generating in accordance with the present invention reduces the inclusion of undesired response signals. Reducing undesired signals from inclusion to a particular template may be accomplished by recognizing that captured responses have consistent morphology. Clustering signal features according to similarities provides a signal exclusion criterion for template generation. Clustering may be performed using techniques such as a K-Means clustering algorithm, self-organizing map algorithms, or other data clustering algorithms.
• Continuing with the example of generating a captured response template, suppose that a sequence of N supra-threshold paces are delivered, N being a positive integer. A clustering algorithm, which may be applied after all N paces are delivered, or applied during response signal collection, may be applied to the extracted features of the pace response signals in accordance with the present invention. After N paces are delivered, a template may be generated using only the response signals with features within a cluster, and exclude all other signals from the template generation. Applied during response signal collection, a template may be generated using only the response signals with features within a cluster, thereby building confidence in the cluster, adjusting the template with each select response signal, and excluding all other signals from the template generation. Multiple templates may be created concurrently by creating a template for each cluster, or selected clusters.
• For example, responses to all N paces may be recorded, and processed through a clustering algorithm that separates the signals into three clusters, captured response, fusion response, and other response. If all the pace pulses are known a-priori to be above the capture threshold and the pacing parameters are chosen to promote capture, then it would be expected that the number of captured responses would be predominant, followed by the number of fusion/pseudofusion beats, and possibly include some other responses such as noise or unknown responses. A capture template may be generated using the signals in the predominant cluster. For example, the cluster with the largest number of similar pace responses may be selected as the cluster used to generate the captured response template.
• Other criteria may also be imposed, such as a cluster is only used if a predetermined number of signals are associated with the cluster, such as a number P, where P is a positive integer less than N, using the above example. Cardiac waveform clustering for template generation in accordance with the present invention provides an accurate template of heart response, and reduces the influence of undesirable beats on the estimate of the template.
• The use of clustering for template creation is illustrated by the concept diagram ofFIG. 2A. InFIG. 2A, the measured cardiac signals responsive to thirteen successive paces are illustrated as circles201-213. Each circle201-213 may correspond to a feature of the cardiac signals responsive to the thirteen paces, a sequence of features points, or the entire cardiac waveform. Thecircle201 may correspond to a feature, feature points or waveform of a first paced response, thesecond circle202 may correspond to a feature, feature points or waveform of a second paced response. In some embodiments, the pacing and response measurement process continues until thecircle213 is measured, corresponding to a feature, feature points or waveform of the thirteenth paced response. In other embodiments, clustering may be performed after each measurement in a beat by beat manner.
• Responses201,202,204,205,209,210,212, and213 are grouped into acluster220 based on the similarity ofresponses201,202,204,205,209,210,212, and213.Responses203,206, and211 are grouped into acluster230.Responses207 and208 are grouped into acluster240. Theresponses201,202,204,205,209,210,212, and213 ofcluster220 may be determined to include captured responses, theresponses203,206, and211 ofcluster230 may be determined to represent fusion/pseudofusion beats, and theresponses207 and208 ofcluster240 may be noisy signals or unknown cardiac responses.
• The similarity of responses in a cluster may be determined based on one or more morphological features of the cardiac signal. In one implementation, the system may determine the similarity of one or more of a peak width, peak amplitude and peak timing. In another implementation, a sequence of samples from one cardiac signal may be compared to a corresponding sequence of samples from another cardiac signal to determine if the signals are similar.
• Clustering the cardiac waveform features, sequence of feature points or cardiac waveforms involves grouping the features, sequence of feature points or cardiac waveforms that are similar.
• According to one implementation, the process of using clustering to form a template may involve determining corresponding cardiac signal features of a number of cardiac signals associated with a particular type of cardiac pacing response and clustering the cardiac signal features to form a template. The clustering may be performed by determining the relationships between the cardiac signal feature points and forming clusters of the feature points based on the relationships. Clustering in this manner may be performed using a variety of clustering algorithms, including K-means algorithms, self-organizing map algorithms, or other data clustering algorithms.
• According to another implementation, clustering may be performed by forming an initial template, for example, using one or more feature points of a first detected cardiac signal and clustering additional feature points of additional cardiac signals with the initial feature point based on a set of rules. For example, an additional feature point may be clustered with a feature point of the initial template if it is sufficiently similar to the corresponding feature point of the initial template. Similarity in this implementation may be determined by an externally determined set of rules that are not necessarily based on the relationships between feature points.
• FIG. 2B is a flowchart of amethod170 of using cardiac waveform clustering for template generation in accordance with embodiments of the invention. Two ormore pacing pulses172 are delivered to a patient's heart, at a level that exceeds the capture threshold. Cardiac response signals174 are sensed, and measurements are made of cardiac signal features. One or more initial templates are provided. The one or more initial templates may be generated using one or more cardiac signals, may be estimated, retrieved from memory, formed according to a rules-based process, or formed by other methods. One or more of theinitial templates176 are incrementally adjusted using select cardiac response signals. Each sensed cardiac signal may be used to adjust176 a particular template of the one or more templates. Adjustment of the templates may be implemented using a clustering algorithm and may be based on the measurements of the cardiac signal features. One or more of thetemplates178 may be selected for characterizing cardiac responses. In one example, one of the templates may be selected to characterize a captured response. In another example, a first template formed via the clustering process may be used to characterize a captured response and a second template may be used to characterize a fusion/pseudofusion response.
• FIG. 2C is a flowchart of amethod139 of generating templates in accordance with embodiments of the present invention. An integer number NT of pacing cycles are selected to begin140 the template generation process using a NT pacing cycle loop140-162. Apace142 is delivered to the heart, and the cardiac signal associated with the pacing pulse is sensed. Features or samples of the cardiac signal associated with the pacing pulse are acquired. If no template has been created or otherwise provided, then the cardiac signal is used to generate a template. Theinitial template156 is saved, and the pacing cycle continues after incrementing the NT count at pacingcycle loop end162. Information related to the cardiac signal may also be stored and associated with the template, such as the pacing energy (voltage and/or pulse width) of the pacing pulse, pace rate, AV delay, VV interval and/or any other pacing parameter settings or measurements. If a template has already been formed or provided, then the process continues to the loop represented by blocks146-152. In loop146-152, the cardiac signal is compared to any existing templates at acheck148. If thecheck148 finds that the cardiac signal matches an existing template, the template is adjusted150 to improve the estimate of the template, and the loop146-152 continues. Adjusting the template may be accomplished, for example, by averaging feature values or performing a weighted average of feature values. Characteristics represented by the stored information that is related to the cardiac signal and associated with the template, such as pacing parameter settings or measurements, may also be adjusted.
• If no template matches atcheck148 after all existing templates have been compared to the cardiac signal, adecision158 is made to add or replace atemplate160. A new template may be created, either by adding or estimating a new template, or replacing an old template. In various implementations, the replaced template may comprise the oldest template or the template with the least number of matched beats. If all templates have at least a minimum number of matched beats, e.g., about one beat, then the cardiac cycle may be ignored with no template replaced. The maximum number of templates used bymethod139 may be limited to a predetermined number.
• In one implementation, the NT pacing cycle loop140-162 continues until all NT paces are completed or when some other criteria are satisfied. For example, the NT pacing cycle loop may terminate successfully (with a template recommendation) if a template has been matched to more than NT-M beats, where M represents the number of allowed mismatched beats. In another embodiment, the pacing cycle loop140-162 may terminate unsuccessfully (without a template recommendation) if the maximum number of template matches is below a predetermined number after a certain number of pacing cycles. More specifically, the pacing cycle loop140-162 may terminate unsuccessfully if the maximum number of template matches is below about one after about three pacing cycles.
• After all NT paces are completed in the NT pacing cycle loop140-162, adecision164 is made to determine if one or more of the templates meets criteria for saving as templates representative of particular types of cardiac pacing responses. For example, if a template is desired to characterize a captured response, a criterion may comprise: out of NT paced beats of the NT pacing cycle loop140-152, if a template has been updated (NT-M) times, where M represents the designated number of mismatched beats that form a failed attempt at template generation, then the template is accepted as an captured response template, and the captured response template generation is successful166. Using this criterion, if a template has not been updated (NT-M) times, then the template is not accepted as a captured response template, and the template generation is not successful154. Additional criteria may be applied to terminate template generation early. If atcheck148, a designated M mismatches are realized before NT pacing cycles complete, or the first cycle after the initial saved template,156, does not match, then a failed attempt at template generation results.
• Each pacing cycle loop140-162 represents an attempt to generate a template. After a predetermined number of pacing cycle loops140-162 are performed, attempts to generate the template may be suspended for a period of time or abandoned.
• FIG. 2D is a flowchart illustrating a method for generating a template during threshold testing according to embodiments of the invention. After beginning251 the template generation process, a check is performed252 to see if a maximum number of attempts to generate the template have been tried. If so, the process exits253 and a threshold test may be rescheduled for a later time.
• If the maximum number of attempts have not been attempted252, then a loop254-265 of NT pacing cycles is initiated254. A pacingpulse255 is delivered and the cardiac signal following the pacing pulse is sensed. Features are extracted from the sensed cardiac signal. If it is thefirst cycle256 in the loop254-265 of NT pacing cycles, then the extracted features are saved257 as an initial template. If it is not thefirst cycle256 in the loop254-265 of NT pacing cycles, then a check is performed258 to determine if the features of the sensed cardiac signal for the cycle are similar to the stored template features. If the features of the sensed cardiac signal are258 sufficiently similar to the stored template features, then the template features are updated259 using the features of the sensed cardiac signal.
• If the cardiac signal features of NT-M cycles are similar to263 the template features, then the template generation is successful264.
• If the cardiac signal features of the cardiac cycle are not similar258 to the template features, then a check is performed260 based on the number of cardiac cycles following formation of the initial template. If the cardiac signal features of a predetermined number of cycles following formation of the initial template are not260 similar to the template, or if there have been M cardiac signal that are not262 similar to the template then the template generation attempt is terminated261 unsuccessfully.
• The graphs ofFIGS. 3 through 5 illustrate the process of forming templates according to the methods of the present invention.FIG. 3 is a graph illustrating a number of cardiac signals representing captured responses, identified by the letter C, fusion responses, identified by the letter F, and a non-captured, intrinsic response, identified by the letters NC. Features of these responses may be clustered to form templates representative of each the different types of responses, or templates representative of some of the responses and exclusive of others; in either case, allowing discrimination of the various responses. In this example, the particular features that are clustered include peak amplitudes and peak timings of the cardiac signals. The clustered peaks are used to form templates comprising one or more classification windows defined in terms of amplitude and time.
• FIG. 4 is a graph that depicts the peaks of the captured, fusion, and non-captured intrinsic responses illustrated inFIG. 3. The peaks of the captured signals are designated with the letter c, the peaks of the fusion beats are designated with the letter f, and the intrinsic response is designated with the letter i. The peaks of the cardiac signals are clustered to form templates comprising one ormore detection windows430,460,470. Inclusion or exclusion of peaks from a detection window, or combinations of thedetection windows430,460,470 can be used to discriminate between the different cardiac responses.
• FIG. 5 illustrates a firstcapture detection window550, a secondcapture detection window540 and anintrinsic detection window560. In this example,midpoints515,525,535 of thedetection windows550,540,560 are illustrated. The boundaries of thedetection windows550,540,560 may be calculated, for example, based on coordinates of characteristic features of the clustered cardiac signals.
• In one implementation, an average of the characteristic feature coordinates may be defined as a point, such as a center, or other location, within a detection window. In this example, the boundaries of a detection window may be established according to a predetermined shape, for example, a circle, square, rectangle, rhombus, or other quadrilateral. Additionally or alternatively, a detection window may be created to enclose a predetermined area. After initialization of thedetection windows550,540,560, the detection windows may be used to detect a captured response, fusion/pseudofusion response and/or noncapture with intrinsic activation.
• FIGS. 6 and 7 illustrate how detection windows formed by clustering can be used to detect various types of cardiac responses to pacing. A cardiac signal of a heart chamber sensed in one or multiple time intervals following a pacing pulse to the heart chamber may be used for determination of the cardiac pacing response in accordance with embodiments of the invention. As illustrated inFIG. 6, apacing stimulation610 is delivered to the heart, for example, to the right ventricle. The sensed cardiac signal is blanked for a period oftime620, typically about 0 milliseconds to about 40 milliseconds, following the delivery of the pacingpulse610.
• After theblanking period620, the cardiac signal may be sensed in afirst time interval630. The duration of thefirst time interval630 may be a programmable duration, for example, less than about 325 milliseconds. If the cardiac signal does not exceed a threshold in thefirst time interval630, then the cardiac response may be classified as noncapture. If the cardiac signal exceeds a threshold value, then various characteristics or features of the cardiac signal may be extracted and compared to cardiac response templates for determining the type of cardiac pacing response. In some cases, sensing of the cardiac signal, associated feature extraction and template comparison may be extended to additional time intervals, such as thesecond time interval640. Thesecond time interval640 may be programmable, and may have a duration less than about 325 milliseconds. The durations of the additional time intervals may be different or the same as the duration of the first time interval. Alternatively, the durations of the first and the second time intervals may be the same.
• Adelay period650 may be established between the end of onetime interval230 and the beginning of anothertime interval640. The duration of the delay may be in a range of about 0 milliseconds (no delay) to about 40 milliseconds, for example. The cardiac response to thepacing stimulation610 may be classified based on the characteristics or features of the cardiac signal sensed in the first and/or theadditional time intervals630,640, regarding their comparison to cardiac response templates.
• FIG. 7 is a graph illustrating how templates formed using cardiac response detection windows, such as those illustrated inFIG. 5, may be used for capture detection.FIG. 7 illustrates includes superimposed graphs illustrating a capturedresponse signal784, afusion response signal782, and a non-capturedintrinsic signal780. Following delivery of apace710, the sensing channel is blanked, e.g., the sense electrodes are disconnected from sense amplifiers or the sense amplifiers are rendered inoperative, during ablanking period715. Following the blanking period, the cardiac signal is sensed in one ormore time intervals720,750. As illustrated inFIG. 6, sensing may occur in two time intervals following the pacing pulse. In some scenarios, the second750 and subsequent time intervals (not shown) may be triggered by events occurring in one or more previous intervals.
• In various implementations, sensing may be performed using the same electrode combination that was used to deliver the pacing stimulation. In other implementations, the pacing stimulation may be delivered using a first electrode configuration and sensing may use a second electrode configuration. Systems and methods for classifying a cardiac response to pacing using multiple time intervals and various sensing and pacing vectors are described in commonly owned U.S. patent applications: Ser. No. 10/733,869, filed Dec. 11, 2003, entitled “Cardiac Response Classification Using Multiple Classification Windows”; Ser. No. 10/734,599 filed Dec. 12, 2003, entitled “Cardiac Response Classification Using Retriggerable Classification Windows”; and Ser. No. 10/735,519 filed Dec. 12, 2003, entitled “Cardiac Response Classification Using Multisite Sensing And Pacing”; which are hereby incorporated herein by reference.
• During thefirst time interval720, the system senses for a positive or negative cardiac signal magnitude exceeding athreshold level740. If the cardiac signal magnitude does not exceed thethreshold740 during thefirst time interval720, then the cardiac response is classified as noncapture and abackup pace770 may be delivered. Thebackup pace770 is typically a high energy pace that is delivered following a backup interval (BPI)730. For example, thebackup interval730 may comprise an interval of about 100 ms timed from the delivery of theprimary pace710.
• The system may utilize one or more cardiacresponse classification windows755,756,760 for detecting various cardiac pacing responses. The template creation methods in accordance with embodiments of the invention may be used to form one or more of theclassification windows755,756,760. The cardiacresponse classification windows755,756,760 are areas defined in terms of amplitude and time.
• The system may classify a cardiac response as capture if a first peak value of the cardiac signal is detected in thefirst detection window755 and a second peak value of the cardiac signal is detected in thesecond detection window756. If a cardiac signal peak is detected in theintrinsic detection window760, but not in the first or secondcapture detection windows755,756, the cardiac response may be classified as noncapture with early intrinsic activation. Otherwise, the cardiac response may be classified as a fusion/pseudofusion beat.
• A template characterizing a particular type of cardiac pacing response may be adapted to accommodate gradual morphological changes in the cardiac pacing response. A cardiac signal waveform, e.g., a cardiac signal waveform representative of a captured response, may exhibit natural variations in its morphology over time. Unless the template is adjusted, the cardiac waveform morphology may gradually drift away from the originally established template.
• In accordance with embodiments of the invention, one or more of the detection windows may be adjusted to accommodate changes in cardiac waveform morphology. A particular detection window may be adjusted according to a relationship, e.g., a spatial relationship, between the particular detection window and its associated waveform feature, for example a peak of the cardiac signal. Adjustment of the detection windows may involve, for example changing the size, shape, or location of the detection window.
• A cardiac feature location, such as a peak, may be identified by a timing coordinate (usually represented as an x-axis coordinate) and an amplitude coordinate (y-axis coordinate). A detection window may be adjusted based on a relationship between a detected feature's amplitude coordinate and the associated detection window's amplitude range. A detection window may also be adjusted based on a relationship between an associated detected feature's timing coordinate and the detection window's timing range. In other examples, the detection window may be adjusted based on a variability of an associated detected feature's timing and/or amplitude coordinates.
• According to embodiments of the invention, the adjustment of a detection window involves modifying the detection window in the direction of an associated cardiac feature location. In various examples, a detected cardiac feature may fall within a particular detection window, but be offset from the center of the detection window. The location, size, and/or shape of the detection window may be modified in the direction of re-centering or otherwise re-orienting the detection window with respect to an associated detected cardiac feature point falling within the detection window. The detection window may be adjusted, for example, using a function-based or rules-based technique.
• According to one implementation, adjustment of the detection windows may be accomplished using a function that is based on present and past locations of an associated detected cardiac waveform feature, e.g., a peak. According to one example, the detection windows may be adjusted using an exponential average based on the present location of the waveform feature and the previous locations of the detection window. Adjustment of the detection window may be implemented based onEquation 1 below.
• 
  Adjusted Location=α*past location of the waveform feature+(1−α)*present location of the waveform feature  [1]
• By selecting the values of α, more emphasis may be placed on the past location of the detection window, corresponding to α>0.5, or more emphasis may be placed on the present location of the waveform feature, corresponding to α<0.5. The value of α may vary for different features or characteristics. The location of the detection window may be determined by re-centering or otherwise re-orienting the detection window using the adjusted location.
• In other implementations, a detection window may be adjusted using a rules-based technique. For example, the detection window may be adjusted in the direction of a detected associated feature point based on one or more re-centering rules.
• A cardiac beat may be required to meet certain qualifications before it is used to adjust the detection windows. A cardiac beat qualified to adjust a detection window may be required to meet certain timing, rate, amplitude, regularity, or other criteria. The cardiac beat may be compared, for example, to a template representing a captured response. If the cardiac beat is consistent with the template, then the cardiac beat may be used to adjust one or more of the capture detection windows.
• Adjustment of a detection window is illustrated in the diagrams ofFIGS. 8A-B.FIG. 8A illustrates adetection window820 having acenter810 based on locations of the previously detected cardiac waveform features associated with the detection window.FIG. 8B illustrates the situation after the next cardiac signal is sensed. The current cardiacwaveform feature point830 is detected. The location of thecurrent feature point830 has drifted above and to the right of theoriginal center810 illustrated inFIG. 8A. Acurrent detection window840 centered on the newcardiac waveform feature830 would represent a significant change from theoriginal detection window820. In one example embodiment, adjustment of the detection window is performed so that modifications exhibit a relatively smooth transition. The adjusteddetection window850 may be determined, forexample using Equation 1 or other method, to smoothly accommodate the waveform feature drift based on both the pastdetection window location820 and the currentdetection window location840. The adjustment of the detection window may be limited to predetermined upper and lower boundaries with respect to the amplitude and time coordinates.
• AlthoughEquation 1 mathematically describes adjusting the detection window location using an exponential average, other methods of adjusting the detection window locations are also possible. For example, in other embodiments, each of the one or more detection windows may be adjusted according to a moving window average, or another function representing the change in distance between the original detection window and the waveform feature. In a further embodiment, the detection windows may be adjusted according to a rules-based process. A rules-based adjustment process may involve adjusting the detection window location by an amount based on the locations of subsequently detected cardiac waveform features. For example, the detection window location may be moved an incremental amount to the right if a predetermined number, e.g., five, consecutive cardiac signals exhibit cardiac waveform features located within the detection window, but to the right of center of the original detection window. Adjustments in other directions, i.e., left, up, and down, may be made using similar criteria.
• In yet other embodiments, adjustment of a detection window may include adjusting the shape and/or size of the detection window.FIGS. 8C-D are diagrams illustrating adjusting a detection window by modifying the shape of the detection window.FIG. 8C illustrates adetection window820 having acenter810.FIG. 8D illustrates the situation after the next cardiac signal is sensed. Thecardiac waveform feature860 associated with thedetection window820 is detected. The location of thecurrent feature point860 has drifted above theoriginal center810 of thedetection window820. An adjusteddetection window870, having a different shape from theoriginal detection window820, is defined. The adjustment of the detection window may be limited to a predetermined limit. Methods and systems for updating detection windows, aspects of which may be used in connection with the present invention, are described in commonly owned U.S. patent application identified by Attorney Docket No. GUID.169PA, filed concurrently with this patent application, and incorporated herein by reference.
• The embodiments of the present system illustrated herein are generally described as being implemented in an implantable cardiac defibrillator (ICD) that may operate in numerous pacing modes known in the art. Various types of single and multiple chamber implantable cardiac defibrillators are known in the art and may be used in connection with cardiac devices and methods using cardiac waveform clustering for template generation in accordance with the present invention. The methods of the present invention may also be implemented a variety of implantable or patient-external cardiac rhythm management devices, including single and multi chamber pacemakers, defibrillators, cardioverters, bi-ventricular pacemakers, cardiac resynchronizers, and cardiac monitoring systems, for example.
• Although the present system is described in conjunction with an implantable cardiac defibrillator having a microprocessor-based architecture, it will be understood that the implantable cardiac defibrillator (or other device) may be implemented in any logic-based integrated circuit architecture, if desired.
• Referring now toFIG. 9 of the drawings, there is shown a cardiac rhythm management system that may be used to implement template generation methods of the present invention. The cardiac rhythm management system inFIG. 9 includes an cardiac rhythm management (CRM)device900 electrically and physically coupled to alead system902. The housing and/or header of theCRM device900 may incorporate one ormore electrodes909 used to provide electrical stimulation energy to the heart and to sense cardiac electrical activity. TheCRM device900 may utilize all or a portion of the CRM device housing as acan electrode909. TheCRM device900 may also include indifferent electrodes (not shown) positioned, for example, on the header or the housing of theCRM device900. If theCRM device900 includes both a can electrode909 and indifferent electrodes, the electrodes typically are electrically isolated from each other.
• Thelead system902 is used to detect electric cardiac signals produced by theheart901 and to provide electrical energy to theheart901 under certain predetermined conditions to treat cardiac arrhythmias. Thelead system902 may include one or more electrodes used for pacing, sensing, and/or defibrillation. In the embodiment shown inFIG. 9, thelead system902 includes an intracardiac right ventricular (RV)lead system904, an intracardiac right atrial (RA)lead system905, an intracardiac left ventricular (LV)lead system906, and an extracardiac left atrial (LA)lead system908. Thelead system902 ofFIG. 9 illustrates one embodiment that may be used in connection with the template creation and cardiac response discrimination methodologies described herein. Other leads and/or electrodes may additionally or alternatively be used.
• Thelead system902 may include intracardiac leads904,905,906 implanted in a human body with portions of the intracardiac leads904,905,906 inserted into aheart901. The intracardiac leads904,905,906 include various electrodes positionable within the heart for sensing electrical activity of the heart and for delivering electrical stimulation energy to the heart, for example, pacing pulses and/or defibrillation shocks to treat various arrhythmias of the heart.
• As illustrated inFIG. 9, thelead system902 may include one or more extracardiac leads908 having electrodes, e.g., epicardial electrodes, positioned at locations outside the heart for sensing and pacing one or more heart chambers.
• The rightventricular lead system904 illustrated inFIG. 9 includes an SVC-coil916, an RV-coil914, an RV-ring electrode911, and an RV-tip electrode912. The rightventricular lead system904 extends through theright atrium920 and into theright ventricle919. In particular, the RV-tip electrode912, RV-ring electrode911, and RV-coil electrode914 are positioned at appropriate locations within theright ventricle919 for sensing and delivering electrical stimulation pulses to the heart. The SVC-coil916 is positioned at an appropriate location within theright atrium chamber920 of theheart901 or a major vein leading to the rightatrial chamber920 of theheart901.
• In one configuration, the RV-tip electrode912 referenced to thecan electrode909 may be used to implement unipolar pacing and/or sensing in theright ventricle919. Bipolar pacing and/or sensing in the right ventricle may be implemented using the RV-tip912 and RV-ring911 electrodes. In yet another configuration, the RV-ring911 electrode may optionally be omitted, and bipolar pacing and/or sensing may be accomplished using the RV-tip electrode912 and the RV-coil914, for example. The rightventricular lead system904 may be configured as an integrated bipolar pace/shock lead. The RV-coil914 and the SVC-coil916 are defibrillation electrodes.
• Theleft ventricular lead906 includes an LVdistal electrode913 and an LVproximal electrode917 located at appropriate locations in or about theleft ventricle924 for pacing and/or sensing theleft ventricle924. Theleft ventricular lead906 may be guided into theright atrium920 of the heart via the superior vena cava. From theright atrium920, theleft ventricular lead906 may be deployed into the coronary sinus ostium, the opening of thecoronary sinus950. Thelead906 may be guided through thecoronary sinus950 to a coronary vein of theleft ventricle924. This vein is used as an access pathway for leads to reach the surfaces of theleft ventricle924 which are not directly accessible from the right side of the heart. Lead placement for theleft ventricular lead906 may be achieved via subclavian vein access and a preformed guiding catheter for insertion of theLV electrodes913,917 adjacent to the left ventricle.
• Unipolar pacing and/or sensing in the left ventricle may be implemented, for example, using the LV distal electrode referenced to thecan electrode909. The LVdistal electrode913 and the LVproximal electrode917 may be used together as bipolar sense and/or pace electrodes for the left ventricle. Theleft ventricular lead906 and theright ventricular lead904, in conjunction with theCRM device900, may be used to provide cardiac resynchronization therapy such that the ventricles of the heart are paced substantially simultaneously, or in phased sequence, to provide enhanced cardiac pumping efficiency for patients suffering from chronic heart failure.
• The rightatrial lead905 includes a RA-tip electrode956 and an RA-ring electrode954 positioned at appropriate locations in theright atrium920 for sensing and pacing theright atrium920. In one configuration, the RA-tip956 referenced to thecan electrode909, for example, may be used to provide unipolar pacing and/or sensing in theright atrium920. In another configuration, the RA-tip electrode956 and the RA-ring electrode954 may be used to provide bipolar pacing and/or sensing.
• FIG. 9 illustrates one embodiment of a leftatrial lead system908. In this example, the leftatrial lead908 is implemented as an extracardiac lead with LA distal918 and LA proximal915 electrodes positioned at appropriate locations outside theheart901 for sensing and pacing theleft atrium922. Unipolar pacing and/or sensing of the left atrium may be accomplished, for example, using the LAdistal electrode918 to thecan909 pacing vector. The LA proximal915 and LA distal918 electrodes may be used together to implement bipolar pacing and/or sensing of theleft atrium922.
• Referring now toFIG. 10, there is shown block diagram of a cardiac rhythm management (CRM)device1000 suitable for implementing template formation and adaptation in accordance with embodiments of the present invention.FIG. 10 shows a CRM device divided into functional blocks. It is understood by those skilled in the art that there exist many possible configurations in which these functional blocks can be arranged. The example depicted inFIG. 10 is one possible functional arrangement. Other arrangements are also possible. For example, more, fewer or different functional blocks may be used to describe a cardiac defibrillator suitable for implementing the methodologies for forming templates according to the methodologies of the present invention. In addition, although theCRM device1000 depicted inFIG. 10 contemplates the use of a programmable microprocessor-based logic circuit, other circuit implementations may be utilized.
• TheCRM device1000 depicted inFIG. 10 includes circuitry for receiving cardiac signals from a heart and delivering electrical stimulation energy to the heart in the form of pacing pulses or defibrillation shocks. In one embodiment, the circuitry of theCRM device1000 is encased and hermetically sealed in a housing1001 suitable for implanting in a human body. Power to theCRM device1000 is supplied by anelectrochemical battery1080. A connector block (not shown) is attached to the housing1001 of theCRM device1000 to allow for the physical and electrical attachment of the lead system conductors to the circuitry of theCRM device1000.
• TheCRM device1000 may be a programmable microprocessor-based system, including acontrol system1020 and amemory1070. Thememory1070 may store parameters for various pacing, defibrillation, and sensing modes, along with other parameters. Thememory1070 may be used, for example, for storing historical EGM and therapy data, and for retaining cardiac signals and/or cardiac signal features before and after grouping them with their associated clusters. The historical data storage may include, for example, data obtained from long-term patient monitoring used for trending or other diagnostic purposes. Historical data, as well as other information, may be transmitted to anexternal programmer unit1090 as needed or desired.
• Thecontrol system1020 andmemory1070 may cooperate with other components of theCRM device1000 to control the operations of theCRM device1000. The control system depicted inFIG. 10 incorporates atemplate processor1024 for forming cardiac response templates in accordance with various embodiments of the present invention. Thecontrol system1020 may include additional functional components including apacemaker control circuit1022, a cardiacresponse classification processor1025, and anarrhythmia detector1021 along with other components for controlling the operations of theCRM device1000.
• Telemetry circuitry1060 may be implemented to provide communications between theCRM device1000 and anexternal programmer unit1090. In one embodiment, thetelemetry circuitry1060 and theprogrammer unit1090 communicate using a wire loop antenna and a radio frequency telemetric link, as is known in the art, to receive and transmit signals and data between theprogrammer unit1090 and thetelemetry circuitry1060. In this manner, programming commands and other information may be transferred to thecontrol system1020 of theCRM device1000 from theprogrammer unit1090 during and after implant. In addition, stored cardiac data pertaining to capture threshold, capture detection and/or cardiac response classification, for example, along with other data, may be transferred to theprogrammer unit1090 from theCRM device1000.
• Thetelemetry circuitry1060 may provide for communication between theCRM device1000 and an advanced patient management (APM) system. The advanced patient management system allows physicians to remotely and automatically monitor cardiac and/or other patient conditions. In one example, a CRM device may be equipped with various telecommunications and information technologies that enable real-time data collection, diagnosis, and treatment of the patient. Various embodiments described herein may be used in connection with advanced patient management. Methods, structures, and/or techniques described herein, which may be adapted to provide for remote patient/device monitoring, diagnosis, therapy, or other APM related methodologies, may incorporate features of one or more of the following references: U.S. Pat. Nos. 6,221,011; 6,270,457; 6,277,072; 6,280,380; 6,312,378; 6,336,903; 6,358,203; 6,368,284; 6,398,728; and 6,440,066, which are hereby incorporated herein by reference.
• In the embodiment of theCRM device1000 illustrated inFIG. 10, electrodes RA-tip956, RA-ring954, RV-tip912, RV-ring911, RV-coil914, SVC-coil916, LVdistal electrode913, LVproximal electrode917, LAdistal electrode918, LAproximal electrode915, and can electrode909 may be selectively coupled through aswitch matrix1010 to sensing circuits1031-1037.
• A rightatrial sensing circuit1031 serves to detect and amplify electrical signals from the right atrium of the heart. Bipolar sensing in the right atrium may be implemented, for example, by sensing voltages developed between the RA-tip956 and the RA-ring954. Unipolar sensing may be implemented, for example, by sensing voltages developed between the RA-tip956 and thecan electrode909. Outputs from the right atrial sensing circuit are coupled to thecontrol system1020.
• A right ventricular sensing circuit1032 serves to detect and amplify electrical signals from the right ventricle of the heart. The right ventricular sensing circuit1032 may include, for example, a rightventricular rate channel1033 and a rightventricular shock channel1034. Right ventricular cardiac signals sensed through use of the RV-tip912 electrode are right ventricular near-field signals and are denoted RV rate channel signals. A bipolar RV rate channel signal may be sensed as a voltage developed between the RV-tip912 and the RV-ring911. Alternatively, bipolar sensing in the right ventricle may be implemented using the RV-tip electrode912 and the RV-coil914. Unipolar rate channel sensing in the right ventricle may be implemented, for example, by sensing voltages developed between the RV-tip912 and thecan electrode909.
• Right ventricular cardiac signals sensed through use of the RV-coil electrode914 are far-field signals, also referred to as RV morphology or RV shock channel signals. More particularly, a right ventricular shock channel signal may be detected as a voltage developed between the RV-coil914 and the SVC-coil916. A right ventricular shock channel signal may also be detected as a voltage developed between the RV-coil914 and thecan electrode909. In another configuration thecan electrode909 and the SVC-coil electrode916 may be electrically shorted and a RV shock channel signal may be detected as the voltage developed between the RV-coil914 and thecan electrode909/SVC-coil916 combination.
• Left atrial cardiac signals may be sensed through the use of one or more leftatrial electrodes915,918, which may be configured as epicardial electrodes. A leftatrial sensing circuit1035 serves to detect and amplify electrical signals from the left atrium of the heart. Bipolar sensing and/or pacing in the left atrium may be implemented, for example, using the LAdistal electrode918 and the LAproximal electrode915. Unipolar sensing and/or pacing of the left atrium may be accomplished, for example, using the LAdistal electrode918 tocan vector909 or the LAproximal electrode915 tocan vector909.
• A leftventricular sensing circuit1036 serves to detect and amplify electrical signals from the left ventricle of the heart. Bipolar sensing in the left ventricle may be implemented, for example, by sensing voltages developed between the LVdistal electrode913 and the LVproximal electrode917. Unipolar sensing may be implemented, for example, by sensing voltages developed between the LVdistal electrode913 or the LVproximal electrode917 and thecan electrode909.
• Optionally, an LV coil electrode (not shown) may be inserted into the patient's cardiac vasculature, e.g., the coronary sinus, adjacent the left heart. Signals detected using combinations of the LV electrodes,913,917, LV coil electrode (not shown), and/or canelectrodes909 may be sensed and amplified by the leftventricular sensing circuitry1036. The output of the leftventricular sensing circuit1036 is coupled to thecontrol system1020.
• The outputs of theswitching matrix1010 may be operated to couple selected combinations ofelectrodes911,912,913,914,915,916,917,918,956,954 to an evokedresponse sensing circuit1037. The evokedresponse sensing circuit1037 serves to sense and amplify voltages developed using various combinations of electrodes for processes related to capture detection. For example, if the CRM device is implementing the process of forming a cardiac pacing response template, the evoked response sensing circuit may be coupled to thetemplate processor1024. The cardiac signals sensed by the evokedresponse sensing circuit1037 may be used to form templates by clustering signals or signal features indicative of various cardiac pacing responses in accordance with embodiments of the invention.
• During capture verification and/or capture threshold testing the evokedresponse sensing circuit1037 may be coupled to the cardiacresponse classification processor1025. Signals sensed by the evokedresponse sensing circuit1037 via various electrode combinations may be analyzed by the cardiacresponse classification processor1025 for detecting capture and/or other responses to cardiac pacing as described herein. Other sensing circuits may alternatively be used for template formation and/or detecting cardiac pacing responses.
• In the embodiments described below, various combinations of pacing and sensing electrodes may be utilized in connection with pacing and sensing the cardiac signal following the pace pulse to classify the cardiac response to the pacing pulse. For example, in some embodiments, a first electrode combination is used for pacing a heart chamber and a second electrode combination is used to sense the cardiac signal following pacing. In other embodiments, the same electrode combination is used for pacing and sensing.
• Thepacemaker control circuit1022, in combination with pacing circuitry for the left atrium, right atrium, left ventricle, andright ventricle1041,1042,1043,1044, may be implemented to selectively generate and deliver pacing pulses to the heart using various electrode combinations. The pacing electrode combinations may be used to effect bipolar or unipolar pacing of the heart chambers as described above.
• Bipolar or unipolar pacing pulses may be delivered to a heart chamber via the pacing vectors described above. The electrical signal following the delivery of the pacing pulses may be sensed through various sensing vectors coupled through theswitch matrix1010 to the evokedresponse sensing circuit1037 or other sensing circuits and used to classify the cardiac response to pacing.
• In one example, the cardiac signal following the pacing pulse may be sensed using the same vector as was used for delivery of the pacing pulse. In this scenario, the pacing artifact may be canceled or otherwise removed or minimized from the sensed cardiac signal. Following cancellation of the pacing artifact, one or more time intervals and cardiac response classification windows may be defined following the pacing pulse and used to classify the cardiac response to pacing. The cardiac response may be classified as one of a captured response, a non-captured response, a non-captured response with intrinsic activation, and a fusion/pseudofusion beat, for example.
• In another example, the vector used to sense the cardiac signal following the pacing pulse may be different from the vector that was used to deliver the pacing pulse. The sensing vector may be selected to minimize the pacing artifact. Cancellation of the pacing artifact may not be necessary if the pacing artifact is sufficiently minimized using this technique.
• In various embodiments, the pacing vector may be a near-field vector and the sensing vector may be a far-field vector. In an example of right ventricular pacing and cardiac response sensing, the pacing vector may be the rate channel vector and the sensing vector may be the shock channel vector.
• Subcutaneous electrodes may provide additional sensing vectors useable for template formation and cardiac response classification. In one implementation, cardiac rhythm management system may involve a hybrid system including an intracardiac device configured to pace the heart and an extracardiac device, e.g., a subcutaneous defibrillator, configured to perform functions other than pacing. The extracardiac device may be employed to detect and classify cardiac response to pacing based on signals sensed using subcutaneous electrode arrays. The extracardiac and intracardiac devices may operate cooperatively with communication between the devices occurring over a wireless link, for example. Examples of subcutaneous electrode systems and devices are described in commonly owned U.S. patent application Ser. Nos. 10/462,001, filed Jun. 13, 2003 and 10/465,520, filed Jun. 19, 2003, which are hereby incorporated herein by reference in their respective entireties.
• The methods and systems described in the embodiments provided herein use cardiac signal features to generate, update, and/or use cardiac response templates. Although the examples provided are described in terms of generating, updating, and using morphology templates for cardiac pacing response determination, the principles of the invention may be additionally or alternatively applied to the generation and/or use of other types of cardiac morphology templates.
• For example, cardiac beats produced during an arrhythmic episode may have characteristic features that can be discriminated from the features of normal beats. In one scenario, the suspected arrhythmic beats may be compared to a morphology template characterizing a normal beat morphology. Arrhythmia is confirmed if the sensed beat morphology is sufficiently different from the normal beat morphology. In another scenario, a sensed arrhythmic beat may be compared to one or more templates associated with different types of monomorphic arrhythmias. The type of monomorphic arrhythmia experienced by the patient may be determined based on the similarity of the cardiac beats of the arrhythmia to one of the morphology templates.
• Various modifications and additions can be made to the preferred embodiments discussed hereinabove without departing from the scope of the present invention. Accordingly, the scope of the present invention should not be limited by the particular embodiments described above, but should be defined only by the claims set forth below and equivalents thereof.

Claims (20)

1. A method of operating an implantable device to characterize a cardiac response to pacing, comprising:

delivering pacing pulses to a heart sufficient in energy to effect capture;

sensing cardiac signals respectively following delivery of the pacing pulses;

extracting one more features from the cardiac signals;

clustering the features to define a plurality of clusters;

identifying one or more predominant clusters of the plurality of clusters and one or more less predominant clusters of the plurality of clusters; and

forming a captured response template using the predominant clusters.

2. The method ofclaim 1, wherein the one or more features comprises one or more cardiac signal peaks.

3. The method ofclaim 1, wherein clustering the one or more features of the cardiac signals comprises clustering the one or more features in batch mode.

4. The method ofclaim 1, wherein clustering the one or more features of the cardiac signals comprises clustering the one or more features beat-by-beat.

5. The method ofclaim 1, wherein clustering the features comprises clustering each feature of a cardiac signal independently from clustering other features of the cardiac signal.

6. The method ofclaim 1, wherein forming the captured response template comprises forming one or more detection windows of the captured response template, each detection window having maximum and minimum time limits and maximum and minimum amplitude limits.

7. The method ofclaim 1, further comprising forming a fusion template using the one or more less predominant clusters.

8. The method ofclaim 1, further comprising forming an intrinsic activation template using the one or more less predominant clusters.

9. The method ofclaim 1, further comprising forming a noise template using the one or more less predominant clusters.

10. The method ofclaim 1, wherein at least one of the predominant clusters used to form the captured response template includes features extracted from cardiac signals of fusion beats.

11. The method ofclaim 1, wherein clustering the features comprises clustering the features using one or both of K-means clustering and a self-organizing map algorithm.

12. The method ofclaim 1, further comprising storing additional information related to one or more of pacing energy, pacing rate, and pacing interval with the captured response template.

13. The method ofclaim 1, wherein:

forming the captured response template comprises determining detection windows based on the cardiac feature clusters; and

further comprising adapting the detection windows to accommodate changes in a patient's cardiac waveform morphology.

14. The method ofclaim 13, wherein adapting the detection windows comprises adapting the detection windows using features of a cardiac signal associated with a captured response.

15. The method ofclaim 13, wherein adapting the detection windows comprises changing at least maximum amplitude of a detection window.

16. A method of operating an implantable device to determine a template used to characterize a cardiac response to pacing, comprising:

delivering pacing pulses to a heart sufficient in energy to effect capture;

sensing cardiac signals respectively following delivery of the pacing pulses;

extracting peak values from the cardiac signals;

clustering the peak values to define a plurality of clusters;

identifying one or more predominant clusters of the plurality of clusters and one or more less predominant clusters of the plurality of clusters; and

forming a captured response template using the predominant clusters.

17. The method ofclaim 16, wherein:

extracting the peak values comprises extracting positive peak values and negative peak values;

clustering the peak values to define a plurality of clusters comprises:

clustering the positive peak values to define a plurality of positive peak clusters; and

clustering the negative peak values to define a plurality of negative peak clusters;

identifying the one or more predominant clusters comprises:

identifying one or more predominant positive peak clusters; and

identifying one or more predominant negative peak clusters; and

forming the captured response template comprises forming the captured response template using the one or more predominant positive peak clusters and the one or more predominant negative peak clusters.

18. The method ofclaim 17, wherein forming the captured response template comprises:

forming a positive peak detection window using the positive peak clusters; and

forming a negative peak detection window using the negative peak clusters.

19. The method ofclaim 18, wherein the positive peak detection window has a first shape and the negative peak detection window has a second shape, different from the first shape.

20. The method ofclaim 16, further comprising forming one or more of a fusion template, an intrinsic activation template, and a noise template using the one or more less predominant clusters.

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