Disclosure of Invention
The invention aims to provide a neonate body temperature and heartbeat detection sensing system which solves the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions, and the specific implementation steps include:
The method comprises the steps of 1, collecting body temperature, heartbeat and electrocardiogram data of each minute in a neonate detection period in real time by utilizing a data detection module, and transmitting the acquired body temperature, heartbeat and electrocardiogram data to a data processing module;
Step 2, using the data processing module to firstly average the body temperature, heartbeat and electrocardiogram data in the detection period;
Step 3, based on the result of the averaging process, the data processing module is utilized to sequentially calculate a basic early warning value ZJ, an electrocardiogram characteristic evaluation value XD and a comprehensive risk value ZF;
Step 4, drawing and analyzing line graphs under different abnormal conditions by utilizing a data analysis module to carry out the electrocardiographic characteristic evaluation value XD and the comprehensive risk value ZF;
step 5, displaying and early warning the abnormality represented by the line graph by using a display and alarm module;
the data processing module comprises a basic detection early warning unit, an electrocardiogram characteristic evaluation unit and a detection risk evaluation unit;
the different abnormal conditions comprise electrocardiographic detection abnormality and comprehensive detection abnormality.
Optionally, the calculation formula of the basic detection early warning unit is as follows:
;
Wherein:
ZJ is a basic early warning value;
TW is the average body temperature value, TW reflects the average manifestation of the body temperature detected by the neonate in any one minute of the detection cycle;
;
N is a total score Zhong Liang, N reflects the total minutes that the neonate has been tested for during the test period;
TWi is the ith minute body temperature value;
the normothermic range of newborns is between 36-37C,Reflecting the degree of difference between the neonatal body temperature and the neonatal normothermic based on 36 ℃;
XT is the average heartbeat value, XW reflects the average performance of the number of heartbeats detected by the neonate in any one minute of the detection period;
;
XTi is the i-th minute average heartbeat value;
The normal heart beat of the neonate ranges from 120 to 140 beats per minute,Reflecting the degree of difference between the heart beat of the neonate and the normal heart beat of the neonate based on 140 times/min;
the ZJ value is high and positive, then the values reflecting TW and XT are high;
the ZJ value is low and positive, then the values reflecting TW and XT are low;
The ZJ value is negative and reflects low values for TW and XT.
Optionally, the calculation formula of the electrocardiogram feature evaluation unit is as follows:
;
Wherein:
XD is an electrocardiogram feature evaluation value;
f is the average amplitude value of the micro waveform change, and F reflects the average amplitude value of the micro waveform change in the electrogram detected by the neonate in any one minute in the detection period;
;
Fi is the i-th minute average amplitude value;
c is the average number of the abnormal rhythms of the electrocardiogram, and C reflects the average number of the abnormal rhythms detected by the neonate in any one minute in the detection period;
;
ci is the average anomaly number of the ith minute;
The average amplitude value F of the micro waveform change corresponds to the average times C of the abnormal rhythm of the electrocardiogram, and the average amplitude value F of the micro waveform change corresponds to the same wave band in the electrocardiogram, wherein the wave band comprises a P wave, a QRS wave group, an ST segment and a T wave, and the calculation is carried out according to one wave band in the detection selection wave band during the calculation;
The result of (2) is an anomaly coefficient for both the amplitude of the waveform and the number of anomalies, which is characteristic of an electrocardiogram.
Optionally, based on a calculation formula of the basic detection early-warning unit, if the basic early-warning value ZJ is equal to 0, at this time, in order to avoid affecting calculation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit, the basic early-warning value ZJ is automatically set to be equal to 1.
Optionally, the calculation formula of the detection risk assessment unit is as follows:
;
Wherein:
ZF is a comprehensive risk value;
In (a)The results of (2) reflect the overall level of the underlying physiological state of the neonate,And multiplying the result of the evaluation value XD of the electrocardiogram feature to obtain a comprehensive risk quantification value.
Optionally, based on the result of the comprehensive risk value ZF, the comprehensive risk value ZF of each minute in the detection period is plotted as a line graph, thereby reflecting the specific situation of the comprehensive detection abnormality as follows:
if the comprehensive risk value ZF is in a continuous rising trend on the line graph, detecting that the comprehensive risk of the sensed neonate is increased;
If the comprehensive risk value ZF is in a descending and gentle trend on the line graph, detecting that the comprehensive risk of the sensed neonate is reduced;
If the comprehensive risk value ZF is in a continuous descending trend on the line graph, detecting that the comprehensive risk of the sensed neonate is increased.
Optionally, in the detection period, the result value of the basic early warning value ZJ is a value range of { -1.25-11.25}, and when the average body temperature value TW and the average heartbeat value XW are both in a normal range, a line graph of the electrocardiogram feature evaluation value XD of each minute in the neonatal detection period is automatically drawn, and the detection sensing analysis of the electrocardiographic detection abnormality is performed, specifically as follows:
If the electrocardiogram feature evaluation value XD is in a continuous rising trend on the line graph, detecting that the risk of the neonate appearing on the electrocardiogram is increased;
if the electrocardiogram feature evaluation value XD is continuously rising on the line graph and fluctuates, detecting that the risk of the neonate appearing on the electrocardiogram is increased;
If the electrocardiogram feature evaluation value XD is continuously decreasing and smoothly varying on the line graph, it is detected that the risk of the sensed neonate being represented on the electrocardiogram is reduced.
Optionally, the device used by the data detection module comprises a body temperature sensor, a heartbeat detector, an electrocardiograph and an embedded development board, the device used by the data processing module comprises a computer, the device used by the data analysis module comprises a visual drawing device, and the device used by the display and alarm module comprises a display screen and an early warning device.
Compared with the prior art, the invention has the following beneficial effects:
1. According to the invention, the deviation of the body temperature and the heartbeat is comprehensively calculated through the basic detection early-warning unit to obtain the basic early-warning value ZJ, and the two important physiological indexes of the body temperature and the heartbeat are comprehensively considered by the indexes, so that the basic health condition of the neonate can be more comprehensively reflected and early-warned.
2. According to the invention, continuous detection calculation is carried out on average body temperature, average heart beat and average electrocardiogram every minute, and a line chart of a comprehensive risk value ZF is drawn, so that the trend of the health risk of a newborn along with time can be intuitively known by observing the trend of the line chart, and when a basic early warning value ZJ is in a detection period and the result value is always in a value range of { -1.25-11.25}, and the average body temperature value TW and the average heart beat value XW are both in a normal range, auxiliary diagnosis is carried out by adding the line chart drawing of an electrocardiogram characteristic evaluation value XD, and the potential information in electrocardiogram data can be deeply mined when the body temperature and heart beat are normal in a detection induction analysis mode, so that the accuracy of diagnosis is improved.
3. In the invention, the electrocardiogram characteristic evaluation unit and the detection risk evaluation unit comprehensively consider the overall levels of the basic early warning value ZJ, the electrocardiogram characteristic evaluation value XD, the average body temperature value TW and the average heartbeat value XW, calculate the electrocardiogram characteristic evaluation value XD and the comprehensive risk value ZF through the interaction of multiple factors, and in actual detection induction, when the body temperature and the heartbeat are normal but the electrocardiogram has tiny abnormality, the electrocardiogram characteristic evaluation unit and the detection risk evaluation unit can integrate the factors to calculate corresponding evaluation values and risk indexes, thereby finding potential heart problems in time and improving the accuracy of diagnosis.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The novel neonate body temperature and heartbeat detection sensing system is different from the conventional neonate body temperature and heartbeat detection sensing system, has the problems of single index monitoring, lack of comprehensive analysis, lack of dynamic monitoring and trend analysis and single abnormality judgment standard, and the algorithm unit achieves the effects of comprehensive index calculation, comprehensive health condition assessment, continuous monitoring and line graph drawing, dynamic analysis, multi-factor comprehensive assessment and abnormality judgment accuracy improvement.
Referring to fig. 1 to 3, the present embodiment provides a neonatal body temperature heartbeat detection sensing system, which includes the following specific implementation steps:
The method comprises the steps of 1, collecting body temperature, heartbeat and electrocardiogram data of each minute in a neonate detection period in real time by utilizing a data detection module, and transmitting the acquired body temperature, heartbeat and electrocardiogram data to a data processing module;
step 2, using a data processing module to firstly average the body temperature, heartbeat and electrocardiogram data in the detection period;
Step 3, based on the result of the averaging process, sequentially calculating a basic early warning value ZJ, an electrocardiogram characteristic evaluation value XD and a comprehensive risk value ZF by using a data processing module;
Step 4, drawing and analyzing line graphs under different abnormal conditions by utilizing a data analysis module to carry out the electrocardiographic characteristic evaluation value XD and the comprehensive risk value ZF;
step 5, displaying and early warning the abnormality represented by the line graph by using a display and alarm module;
the data processing module comprises a basic detection early warning unit, an electrocardiogram characteristic evaluation unit and a detection risk evaluation unit;
different abnormal conditions include electrocardiographic detection abnormality and comprehensive detection abnormality;
the equipment used by the data detection module comprises a body temperature sensor, a heartbeat detector, an electrocardiograph and an embedded development board, the equipment used by the data processing module comprises a computer, the equipment used by the data analysis module comprises a visual drawing device, and the equipment used by the display and alarm module comprises a display screen and an early warning device.
In this embodiment, the basic detection early warning unit, the electrocardiogram feature evaluation unit and the detection risk evaluation unit penetrate through the data processing flow of the neonate body temperature heartbeat detection induction system, after the data detection module acquires body temperature, heartbeat and electrocardiogram data, the basic detection early warning unit is used for primarily evaluating basic health through the data processing module, the electrocardiogram feature evaluation unit deeply analyzes heart health, the detection risk evaluation unit synthesizes multiple factors to obtain an overall health risk index, and the formulas enable the system to comprehensively, dynamically and accurately evaluate the neonate health condition, provide reliable diagnosis basis, improve diagnosis accuracy and efficiency and enhance monitoring early warning capability of the system.
Referring to fig. 1, the calculation formula of the basic detection early warning unit is as follows:
;
Wherein:
ZJ is a basic early warning value;
TW is the average body temperature value, TW reflects the average manifestation of the body temperature detected by the neonate in any one minute of the detection cycle;
the normothermic range of newborns is between 36-37C,Reflecting the degree of difference between the neonatal body temperature and the neonatal normothermic based on 36 ℃;
XT is the average heartbeat value, XW reflects the average performance of the number of heartbeats detected by the neonate in any one minute of the detection period;
;
XTi is the i-th minute average heartbeat value;
The normal heart beat of the neonate ranges from 120 to 140 beats per minute,Reflecting the degree of difference between the heart beat of the neonate and the normal heart beat of the neonate based on 140 times/min;
the ZJ value is high and positive, then the values reflecting TW and XT are high;
the ZJ value is low and positive, then the values reflecting TW and XT are low;
The ZJ value is negative and reflects low values for TW and XT.
In the basic detection and early warning unit of the embodiment, firstlyThe calculation part synthesizes the deviation of the body temperature and the heartbeat to obtain a preliminary comprehensive deviation value, the body temperature and the heartbeat are important physiological indexes reflecting the health condition of the newborn, the deviation of the body temperature and the heartbeat is added, the influence of the two factors on the health can be considered on the whole, and comprehensive deviation data is provided for the subsequent calculation of a basic early warning value ZJ;
The basic detection early warning unit integrates and calculates two key basic physiological indexes of an average body temperature value TW and an average heartbeat value XW, and in the health monitoring of a newborn, when the body temperature is slightly abnormal but the heartbeat is normal, or the heartbeat is fluctuated but the body temperature is stable, the basic detection early warning unit can comprehensively embody the influence of the two conditions on the whole basic health, so that the judgment error caused by only focusing on a single index is avoided, andThe weight of the body temperature deviation in the comprehensive evaluation is increased by multiplying the body temperature deviation by 5 in the calculation part, because the neonate has weaker body temperature adjustment capability, the tiny change of the body temperature predicts larger health problems, and the influence caused by the body temperature change can be captured more sharply when the basic health is actually evaluated by increasing the weight of the body temperature, so that the early warning capability of potential health risks is improved;
It is worth to say that, when the basic early warning value ZJ is higher than 11.25, the average body temperature value TW and the average heartbeat value XW are reflected not to be in the normal range, when the basic early warning value ZJ is lower than 11.25 and higher than-1.25, the average body temperature value TW and the average heartbeat value XW are reflected to be in the normal range, and when the basic early warning value ZJ is lower than-1.25, the average body temperature value TW and the average heartbeat value XW are reflected to be not to be in the normal range.
Referring to fig. 1 and 3, the calculation formula of the electrocardiogram feature evaluation unit is as follows:
;
Wherein:
XD is an electrocardiogram feature evaluation value;
f is the average amplitude value of the micro waveform change, and F reflects the average amplitude value of the micro waveform change in the electrogram detected by the neonate in any one minute in the detection period;
;
Fi is the i-th minute average amplitude value;
c is the average number of the abnormal rhythms of the electrocardiogram, and C reflects the average number of the abnormal rhythms detected by the neonate in any one minute in the detection period;
;
ci is the average anomaly number of the ith minute;
The average amplitude value F of the micro waveform change corresponds to the average times C of the abnormal rhythm of the electrocardiogram, and the average amplitude value F of the micro waveform change corresponds to the same wave band in the electrocardiogram, wherein the wave band comprises a P wave, a QRS wave group, an ST segment and a T wave, and the calculation is carried out according to one wave band in the detection selection wave band during the calculation;
The result of (2) is an anomaly coefficient for both the amplitude of the waveform and the number of anomalies, which is characteristic of an electrocardiogram.
In the electrocardiographic feature evaluation unit of the present embodiment, first of allThe calculation part integrates abnormal information of different dimensions, the average amplitude value F of the tiny waveform change and the average frequency C of the electrocardiogram rhythm reflect the abnormal condition of the electrocardiogram from different dimensions, the average amplitude value F of the tiny waveform change focuses on describing the tiny change of each wave band of the electrocardiogram on the form and amplitude, the abnormal condition of the heart electric activity on the local potential change is reflected, the average frequency C of the electrocardiogram rhythm focuses on the regularity of the heart rhythm, the problem of the heart electric conduction system in the whole rhythm control is reflected, the two abnormal information are added, the abnormal information of the two different aspects can be integrated to obtain a comprehensive abnormal quantification index of the electrocardiogram, in addition, even if the waveform change amplitude is smaller, the abnormal frequency of the rhythm is larger, or the waveform change amplitude is larger but the rhythm is relatively regular, the respective influence can be reflected in the comprehensive evaluation in an additive mode, but the abnormality of one party is excessively amplified and reduced by the other party through multiplication;
Integral bodyThe calculation is to perform the evolution processing on the comprehensive risk quantification value to obtain an electrocardiogram characteristic evaluation value XD, so that the evaluation result is more in line with the actual situation, the evolution operation can properly compress the larger comprehensive risk, the overlarge result is avoided, and meanwhile, the relative magnitude relation of the comprehensive risk can be reserved, so that the evaluation result is more reasonable;
the electrocardiogram feature evaluation unit combines the basic early warning value ZJ obtained by the basic detection early warning unit with the relevant features of the electrocardiogram, the electrocardiogram of the electrocardiogram feature evaluation unit can reflect the electrical activity condition of the neonate heart, the basic early warning value ZJ reflects the whole basic physiological state, and the combined and calculated electrocardiogram feature evaluation value XD can comprehensively evaluate the health condition of the neonate heart, even if the basic health index looks normal, if the electrocardiogram has tiny abnormality, the potential influence of the abnormality on the whole health can be quantified through the calculation of the electrocardiogram feature evaluation unit;
It is worth to say that the P wave represents the potential change of the atrial depolarization, the QRS wave group reflects the whole process of ventricular depolarization, the ST segment is a flat line from the end point of the QRS wave group to the beginning point of the T wave, the slow repolarization process of the ventricle is represented, the T wave represents the potential change during the rapid repolarization of the ventricle, the abnormality of different wave bands corresponds to different heart diseases and physiological conditions, specifically, the change of the ST segment is related to myocardial ischemia, the abnormality of the P wave prompts atrial lesions, and the change amplitude of each wave band is calculated respectively to help to accurately position the problem.
Referring to fig. 1 and 2, the calculation formula of the detection risk assessment unit is as follows:
;
Wherein:
ZF is a comprehensive risk value;
In (a)The results of (2) reflect the overall level of the underlying physiological state of the neonate,And multiplying the result of the evaluation value XD of the electrocardiogram feature to obtain a comprehensive risk quantification value.
In the detection risk assessment unit of the present embodiment,The calculation part comprehensively considers the whole level of the body temperature and the heart beat, reflects the current basic physiological state of the neonate, and combines the electrocardiogram abnormal evaluation result with the basic physiological state, namelyThe calculation part can further comprehensively consider the influence of the two on the health risk and integrallyDenominator in computationThe adding 10 calculation is to adjust the basic early warning value ZJ to a certain extent, so that the calculation result is more reasonable;
The detection risk assessment unit assesses the health risk of the newborn from multiple dimensions by integrating the electrocardiogram characteristic assessment value XD, the average body temperature value TW, the average heartbeat value XW and the basic early warning value ZJ, and further associates and integrates the basic physiological index and the electrocardiogram characteristic, so that the overall health risk condition of the newborn can be reflected more comprehensively and accurately by the multi-dimensional assessment mode.
Referring to fig. 1 to 3, based on the result of the integrated risk value ZF, the integrated risk value ZF for each minute in the detection period is plotted as a line graph, thereby reflecting the specific situation of the integrated detection abnormality as follows:
if the comprehensive risk value ZF is in a continuous rising trend on the line graph, detecting that the comprehensive risk of the sensed neonate is increased;
If the comprehensive risk value ZF is in a descending and gentle trend on the line graph, detecting that the comprehensive risk of the sensed neonate is reduced;
if the comprehensive risk value ZF is in a continuous descending trend on the line graph, detecting that the comprehensive risk of the sensed neonate is increased;
In the detection period, the result value of the basic early warning value ZJ is always in the value range of { -1.25-11.25}, and under the condition that the average body temperature value TW and the average heartbeat value XW are in the normal range, a line graph of an electrocardiographic characteristic evaluation value XD of each minute in the neonatal detection period is automatically drawn, and detection induction analysis of electrocardiographic detection abnormality is carried out, wherein the specific analysis is as follows:
If the electrocardiogram feature evaluation value XD is in a continuous rising trend on the line graph, detecting that the risk of the neonate appearing on the electrocardiogram is increased;
if the electrocardiogram feature evaluation value XD is continuously rising on the line graph and fluctuates, detecting that the risk of the neonate appearing on the electrocardiogram is increased;
If the electrocardiogram feature evaluation value XD is continuously decreasing and smoothly varying on the line graph, it is detected that the risk of the sensed neonate being represented on the electrocardiogram is reduced.
In this embodiment, the change situation of the comprehensive risk value ZF and the electrocardiographic feature evaluation value XD of the newborn can be dynamically displayed in real time by drawing the line graph, and by observing the trend of the line graph, whether the health condition of the newborn is gradually improved, worsened or kept stable is intuitively known, specifically, if the line graph of the comprehensive risk value ZF is in an ascending trend, the newborn is prompted to have a potential health problem, and in the continuous monitoring process, the line graph can clearly display the slight changes of the physiological indexes of the body temperature, the heartbeat and the electrocardiograph, and the slight changes are easily ignored when the data of a certain time point are independently viewed, but through the continuous display of the line graph, abnormal fluctuation can be timely found;
According to the embodiment, on one hand, a plurality of physiological indexes of body temperature, heart beat and electrocardiogram are comprehensively calculated to obtain a comprehensive risk value ZF, and the comprehensive risk value ZF is displayed through a line graph, so that the health condition of a newborn can be more comprehensively reflected, different physiological indexes are related to each other, the change of a single index is insufficient to accurately judge health problems, but the change trend of the plurality of indexes is comprehensively analyzed, the accuracy of diagnosis can be improved, on the other hand, the basic early warning value ZJ is in a detection period, the result value is always in a value range of { -1.25-11.25}, and under the condition that the average body temperature value TW and the average heart beat value XW are in a normal range, the line graph of an electrocardiogram characteristic evaluation value XD is drawn to carry out auxiliary diagnosis, and the change of the electrocardiogram characteristic can be deeply analyzed under the condition that the body temperature and the heart beat are normal, and the existing fine heart abnormality is avoided.
In the second embodiment, referring to fig. 1, if the basic pre-warning value ZJ is equal to 0 based on the calculation formula of the basic detection pre-warning unit, the basic pre-warning value ZJ is automatically set to be equal to 1 in order to avoid affecting the calculation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit.
In the present embodiment, for the case where the basic warning value ZJ is equal to 0, the setting condition for the basic warning value ZJ being equal to 1 is automatically set, it is ensured that the electrocardiogram feature evaluation unit and the detection risk evaluation unit are not affected by the basic warning value ZJ being equal to 0, and the result of the electrocardiogram feature evaluation value XD and the comprehensive risk value ZF is made to be 0 and the interference of erroneous calculation, whereby the calculation evaluation of the electrocardiogram feature evaluation unit and the detection risk evaluation unit is smoothly performed.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.