技术领域technical field
本发明涉及心电信号的处理方法,具体的说是一种心电信号压缩传输方法及其心电监护系统。The invention relates to a method for processing electrocardiographic signals, in particular to a method for compressing and transmitting electrocardiographic signals and an electrocardiographic monitoring system thereof.
背景技术Background technique
心脏病是一种发病率很高且非常常见的心脏疾病,有着病情发展缓慢并隐蔽,一旦发病病情危急的特点,严重威胁着人类的健康与生命。一般情况下,造成心脏疾病患者猝死的主要原因是恶性心律失常和心功能衰竭等;心脏病发作时间没有规律,这类患者在平时工作或生活中会表现出症状,但到医院做心电检查时症状可能消失,因此,无法检测到异常心电图,导致医生不能对病情做出准确的判断,无法进行病情诊断并且可能耽误最佳治疗时机。如果能够及时识别日常生活中的心率失常等心脏病症状,采取有效的预防及治疗措施,能够很大程度上提高挽救患者生命的成功率。Heart disease is a very common heart disease with a high morbidity rate. It has the characteristics of slow and hidden disease development, and once it becomes critical, it seriously threatens human health and life. Under normal circumstances, the main causes of sudden death in patients with heart disease are malignant arrhythmia and heart failure. Symptoms may disappear at this time, therefore, abnormal ECG cannot be detected, causing doctors to be unable to make accurate judgments on the condition, unable to diagnose the condition and may delay the best time for treatment. If the symptoms of heart disease such as arrhythmia in daily life can be identified in time, and effective prevention and treatment measures can be taken, the success rate of saving patients' lives can be greatly improved.
多年以来,由于心电信号自动分析技术的广泛应用,给众多心脏病患者的病理检测带来了巨大便利。然而,现有的心电监护系统是将心电信号采集,处理单元和发射装置融合于一部便携设备内,通过设备上的电极接触胸壁形成回路来采集心电信号,然后通过移动通讯网络将心电信息发送至远端服务器进行数据处理。该心电监护仪解决了移动状态下心电信号采集和传输问题,大大减少了时间、地域的限制。但是,该仪器存在以下缺点:网络基础设备建设的滞后在一定程度上影响了心电信号到远端服务器的传输速度,同时给偏远地区人们的远程监护带来了不便。受制于设备本身的处理能力,需要不断发送心电信号到后台服务器进行大数据的处理分析,才能得到较准确详细的诊断结果,这样信息冗余量较大,系统功耗也比较大,不易于连续长时间进行动态监测,同时大的数据传输量也给远端服务器的信道传输及信息处理带来很大的负担。Over the years, due to the wide application of ECG signal automatic analysis technology, it has brought great convenience to the pathological detection of many heart disease patients. However, the existing ECG monitoring system integrates the ECG signal collection, processing unit and transmitting device into a portable device, and collects the ECG signal through the electrodes on the device contacting the chest wall to form a loop, and then transmits the ECG signal through the mobile communication network. The ECG information is sent to the remote server for data processing. The ECG monitor solves the problem of ECG signal acquisition and transmission in a mobile state, and greatly reduces time and geographical constraints. However, this instrument has the following disadvantages: the lag of network infrastructure construction affects the transmission speed of ECG signals to remote servers to a certain extent, and at the same time brings inconvenience to remote monitoring of people in remote areas. Restricted by the processing capability of the device itself, it is necessary to continuously send ECG signals to the background server for big data processing and analysis in order to obtain more accurate and detailed diagnosis results. This way, the information redundancy is large and the system power consumption is relatively large, which is not easy Dynamic monitoring is carried out continuously for a long time, and at the same time, the large amount of data transmission also brings a great burden to the channel transmission and information processing of the remote server.
心电信号采集客户端的数据预处理及压缩能够显著减小发送数据流量,降低对网络的要求,避免网络信息传输不畅带来的危险预警缺失,同时能够有效降低客户端功耗,实现长期、动态、实时监测。The data preprocessing and compression of the ECG signal acquisition client can significantly reduce the sending data flow, lower the requirements for the network, avoid the lack of dangerous warnings caused by poor network information transmission, and effectively reduce the power consumption of the client to achieve long-term, Dynamic and real-time monitoring.
发明内容Contents of the invention
本发明的目的是提供一种高效的心电信号压缩传输方法,以解决现有方法数据流量大、保真度差等问题。同时,本发明还提供了该心电信号压缩传输方法所依托的一种远程心电监护系统,以便于能够实时、高效的对病人的身体状况进行动态监护和分析预警,及时发现发病征兆。The purpose of the present invention is to provide an efficient method for compressing and transmitting ECG signals to solve the problems of large data flow and poor fidelity in existing methods. At the same time, the present invention also provides a remote ECG monitoring system on which the ECG signal compression transmission method is based, so that real-time and efficient dynamic monitoring, analysis and early warning of the patient's physical condition can be carried out, and disease symptoms can be found in time.
本发明所要提供的心电信号压缩传输方法的技术方案如下:The technical scheme of the ECG signal compression transmission method to be provided by the present invention is as follows:
一种心电信号压缩传输方法,该方法是将心电信号采集模块采集到的人体心电信号在数据处理模块进行初步处理,然后传输到数据压缩编码模块进行信号互相关运算;An electrocardiographic signal compression transmission method, the method is that the human body electrocardiographic signal collected by the electrocardiographic signal acquisition module is preliminarily processed in the data processing module, and then transmitted to the data compression encoding module for signal cross-correlation calculation;
所述初步处理是:在所述数据处理模块,将通过心电信号采集模块采集到的人体心电信号先经放大,然后进行除杂降噪;The preliminary processing is: in the data processing module, first amplifying the human body ECG signals collected by the ECG signal acquisition module, and then performing impurity removal and noise reduction;
所述信号互相关运算是:The signal cross-correlation operation is:
①取初步处理后的心电信号数据中一个心动周期时长的心电信号并对其峰值进行归一化后记作Si,与其下一个相邻的峰值归一化后的心电信号Si+1按公式进行互相关运算,得到该相邻的两个心电信号的相关系数R12,将相关系数R12的幅值与判断阈值进行比较;①Take the ECG signal of one cardiac cycle length in the pre-processed ECG signal data and normalize its peak value and denote it as Si , and the normalized ECG signal Si+ of the next adjacent peak value1 by formula Performing a cross-correlation operation to obtain the correlation coefficient R12 of the two adjacent ECG signals, and comparing the magnitude of the correlation coefficient R12 with the judgment threshold;
其中,所述公式中,Tm为积分时间,Tm=kT,k取值为1~200间整数,T为一个心动周期时长,单位为秒;τ为Si到Si+1的渡越时间,单位为秒;d为微分算子;t为时间变量,单位为秒;Among them, the formula Among them, Tm is the integration time, Tm =kT, k is an integer between 1 and 200, T is the duration of a cardiac cycle, the unit is second; τ is the transit time from Si to Si+1 , the unit is second; d is the differential operator; t is the time variable, the unit is second;
②如果步骤①中计算所得R12<判断阈值,则将心电信号Si存入数据处理模块缓存,将Si+1~Si+n之间的心电信号波形数据发送到远程服务器,然后获取心电信号Si+n+1,按步骤①将Si与Si+n+1进行互相关运算;如果步骤①中计算所得R12≥判断阈值,则将心电信号Si+1存入数据处理模块缓存,并发送一个正常心电信号代码到远程服务器,然后按步骤①将心电信号Si+1继续与下一个相邻的心电信号Si+2进行互相关运算;② If R12 calculated in step ① <judgment threshold, then store the ECG signal Si in the cache of the data processing module, and send the ECG signal waveform data between Si+1 to Si+n to the remote server, Then obtain the ECG signal Si+n+1,and perform cross-correlation operation on Si and Si+n+1 according to step ①;1 Store in the cache of the data processing module, and send a normal ECG signal code to the remote server, and then perform cross-correlation calculations on the ECG signal Si+1 and the next adjacent ECG signal Si+2 according to step ① ;
其中,所述n取值为1~30之间的整数,所述判断阈值取值为0.25~0.45间的任意一值。Wherein, the value of n is an integer between 1 and 30, and the judgment threshold is any value between 0.25 and 0.45.
本发明所述的心电信号压缩传输方法,The electrocardiographic signal compression transmission method described in the present invention,
所述初步处理具体是:The preliminary treatment is specifically:
在所述数据处理模块,将通过心电信号采集模块采集到的人体心电信号先经放大,然后采用陷波滤波器去除50Hz或60Hz的工频信号,之后采用低通滤波器去除100Hz以上的高频段噪声同时为截止频率提供稳定的通频带0.05Hz~100Hz;In the data processing module, the human body ECG signals collected by the ECG signal acquisition module are first amplified, then the notch filter is used to remove the power frequency signal of 50 Hz or 60 Hz, and the low pass filter is used to remove the power frequency signal above 100 Hz. High-frequency noise provides a stable passband for the cut-off frequency at the same time: 0.05Hz to 100Hz;
本步骤中,所述截止频率为-40dB。In this step, the cutoff frequency is -40dB.
本发明所要提供的心电监护系统的技术方案如下:The technical scheme of the electrocardiographic monitoring system to be provided by the present invention is as follows:
一种心电监护系统,该系统包括心电数据采集处理设备、远程服务器和显示终端:An electrocardiographic monitoring system, the system includes electrocardiographic data collection and processing equipment, a remote server and a display terminal:
(一)所述心电数据采集处理设备包括:(1) The ECG data collection and processing equipment includes:
心电信号采集模块,与数据处理模块相接,用于探测并采集心电信号;The electrocardiographic signal acquisition module is connected with the data processing module for detecting and collecting electrocardiographic signals;
数据处理模块,与所述心电信号采集模块和数据压缩编码模块相接,用于对心电信号进行放大及除杂降噪的初步处理及缓存心电信号;The data processing module is connected with the ECG signal acquisition module and the data compression encoding module, and is used for amplifying the ECG signal, performing preliminary processing for removing impurities and noise reduction, and buffering the ECG signal;
数据压缩编码模块,与所述数据处理模块和数据传输模块相接,用于对初步处理的心电信号数据利用信号互相关运算进行异常判断;The data compression coding module is connected with the data processing module and the data transmission module, and is used for abnormal judgment on the preliminary processed ECG signal data by signal cross-correlation operation;
数据传输模块,与所述数据压缩编码模块、数据实时显示模块和远程双向通信模块相接,用于传送正常心电信号代码和异常心电信号的波形数据至远程服务器的远程双向通信模块,以及传送远程服务器的远程双向通信模块发送的分析结果至数据实时显示模块;以及The data transmission module is connected with the data compression encoding module, the real-time data display module and the remote two-way communication module, and is used to transmit the waveform data of the normal ECG signal code and the abnormal ECG signal to the remote two-way communication module of the remote server, and Transmitting the analysis results sent by the remote two-way communication module of the remote server to the real-time data display module; and
数据实时显示模块,与所述数据传输模块相接,用于实时显示分析结果和报警;A data real-time display module, connected with the data transmission module, for real-time display of analysis results and alarms;
(二)所述远程服务器包括:(2) The remote server includes:
远程双向通信模块,与所述数据传输模块、心电信号数据库、数据分析模块和显示终端连接,用于传送正常心电信号代码和异常心电信号的波形数据至心电信号数据库,以及传送分析结果至数据传输模块和显示终端;The remote two-way communication module is connected with the data transmission module, the ECG database, the data analysis module and the display terminal, and is used to transmit the waveform data of normal ECG codes and abnormal ECG signals to the ECG signal database, and transmit and analyze Results to data transmission module and display terminal;
心电信号数据库,与所述远程双向通信模块和所述数据分析模块相接,用于存储正常心电信号代码和异常心电信号的波形数据,以及存储数据分析模块的分析结果;以及ECG database, connected to the remote two-way communication module and the data analysis module, for storing the waveform data of normal ECG codes and abnormal ECG signals, and storing the analysis results of the data analysis module; and
数据分析模块,与所述心电信号数据库和所述远程双向通信模块相接,用于对异常心电信号的波形数据进行判断分析,得到分析结果;A data analysis module, connected to the ECG database and the remote two-way communication module, for judging and analyzing the waveform data of abnormal ECG signals to obtain analysis results;
(三)所述显示终端与所述远程双向通信模块相接,用于查看数据分析模块的分析结果。(3) The display terminal is connected to the remote two-way communication module, and is used to view the analysis results of the data analysis module.
本发明创新性的采用数字信号处理芯片运行异常心电检测处理算法,判别时间序列的心电信号与前段正常心电信号的互相关性,根据多次连续周期内的心电信号进行有效数据对比。如果发现前后数据无明显差异,表明心电正常,这时终端只发送正常代码至服务器,如果检测到心电异常,终端将发送检测到的第一个异常信号之后一时间段的完整心电信号到远程服务器进行数据的进一步处理,判断异常类别,提供发病预警,这在很大程度上减小无效数据的传输,减小数据流量的使用,降低功耗。该算法能够有效的减小传输的大量冗余数据,在保证监测效果的同时很大程度上减小了和服务器的数据量的交互,这对网络速度要求降低,也减小了对网络的依赖程度,同时也在功耗上有明显的减小,增加的终端的待机时间。The present invention innovatively uses a digital signal processing chip to run an abnormal ECG detection and processing algorithm, distinguishes the cross-correlation between the time-series ECG signal and the previous normal ECG signal, and performs effective data comparison based on the ECG signals in multiple consecutive cycles . If there is no significant difference in the data before and after, it indicates that the ECG is normal. At this time, the terminal only sends the normal code to the server. If abnormal ECG is detected, the terminal will send the complete ECG signal for a period of time after the first abnormal signal detected. Go to the remote server for further data processing, judge the abnormal category, and provide early warning of the disease, which greatly reduces the transmission of invalid data, reduces the use of data traffic, and reduces power consumption. This algorithm can effectively reduce a large amount of redundant data transmitted, and greatly reduce the interaction with the data volume of the server while ensuring the monitoring effect, which reduces the requirement for network speed and also reduces the dependence on the network At the same time, the power consumption is significantly reduced, and the standby time of the terminal is increased.
附图说明Description of drawings
图1是本发明心电监护系统结构框图。Fig. 1 is a structural block diagram of the ECG monitoring system of the present invention.
图2是本发明心电监护系统的心电数据采集设备硬件结构框图。Fig. 2 is a block diagram of the hardware structure of the ECG data acquisition device of the ECG monitoring system of the present invention.
图3是本发明心电信号压缩传输算法中采用互相关算法进行异常判断流程图。Fig. 3 is a flow chart of the abnormality judgment using the cross-correlation algorithm in the ECG signal compression transmission algorithm of the present invention.
图1~图3中:1、心电数据采集设备,2、远程服务器,3、显示终端,4、电极片,5、数据处理模块,6、数据压缩编码模块,7、数据实时显示模块,8、数据传输模块。In Figures 1 to 3: 1. ECG data collection equipment, 2. Remote server, 3. Display terminal, 4. Electrode sheet, 5. Data processing module, 6. Data compression coding module, 7. Real-time data display module, 8. Data transmission module.
图4是本发明实施例2中峰值归一化后的两个心动周期正常心电信号Si和Si+1。Fig. 4 is normal ECG signals Si and Si+1 of two cardiac cycles after peak normalization in embodiment 2 of the present invention.
图5是本发明实施例2中正常心电信号Si与Si+1的互相关运算结果。FIG. 5 is the cross-correlation calculation result of normal ECG signals Si and Si+1 in embodiment 2 of the present invention.
图6是本发明实施例2中峰值归一化后的两个心动周期异常心电信号Si+1和Si+2。Fig. 6 is two abnormal cardiac electrocardiographic signals Si+1 and Si+2 after peak normalization in embodiment 2 of the present invention.
图7是本发明实施例2中异常心电信号Si+1与Si+2的互相关运算结果。Fig. 7 is the cross-correlation calculation result of the abnormal ECG signals Si+1 and Si+2 in the second embodiment of the present invention.
具体实施方式detailed description
实施例1:心电监护系统Embodiment 1: ECG monitoring system
如图1所示,本发明心电监护系统由心电数据采集处理设备1、远程服务器2和显示器3构成。As shown in FIG. 1 , the ECG monitoring system of the present invention is composed of an ECG data collection and processing device 1 , a remote server 2 and a display 3 .
心电数据采集处理设备(如图2)由心电信号采集模块(即电极片4)、数据处理模块5、数据压缩编码模块6、数据实时显示模块7和数据传输模块8构成;ECG data acquisition and processing equipment (as shown in Figure 2) is made up of ECG signal acquisition module (i.e. electrode sheet 4), data processing module 5, data compression coding module 6, data real-time display module 7 and data transmission module 8;
电极片4为标准三导联电极,用于探测并采集心电信号;The electrode sheet 4 is a standard three-lead electrode for detecting and collecting ECG signals;
数据处理模块5包括高精密放大器AD8232和STM32处理器,STM32处理器包括陷波滤波器、低通滤波器;AD8232的输入端连电极片,输出端连陷波滤波器;陷波滤波器的输入端连接AD8232,输出端连接低通滤波器;低通滤波器的输入端连陷波滤波器,输出端连数据压缩编码模块;数据处理模块5用于对心电信号进行放大及除杂降噪的初步处理,并具备缓存心电信号的功能;Data processing module 5 comprises high-precision amplifier AD8232 and STM32 processor, and STM32 processor comprises notch filter, low-pass filter; The input end of AD8232 connects electrode sheet, and output end connects notch filter; The input of notch filter The end is connected to AD8232, and the output end is connected to a low-pass filter; the input end of the low-pass filter is connected to a notch filter, and the output end is connected to a data compression coding module; the data processing module 5 is used to amplify the ECG signal and remove impurities and noise Preliminary processing, and has the function of buffering ECG signals;
数据压缩编码模块6由板载DSP芯片构成,其输入端连接陷波滤波器,输出端连接数据传输模块;数据压缩编码模块6用于对初步处理的心电信号数据利用信号互相关运算进行异常判断,实现数据传输量的压缩;The data compression encoding module 6 is composed of a board-mounted DSP chip, its input end is connected to a notch filter, and its output end is connected to a data transmission module; the data compression encoding module 6 is used to perform abnormalities on the preliminarily processed ECG signal data using signal cross-correlation operations. Judging to realize the compression of data transmission volume;
数据传输模块8采用无线双向通信模块SIM5320,其输入端连接DSP芯片,输出端分别连接数据实时显示模块和远程服务器;数据传输模块8用于传送正常心电信号代码和异常心电信号的波形数据至远程服务器的远程双向通信模块,以及传送远程服务器的远程双向通信模块发送的分析结果至数据实时显示模块;Data transmission module 8 adopts wireless two-way communication module SIM5320, and its input end is connected with DSP chip, and output end is respectively connected with data real-time display module and remote server; Data transmission module 8 is used for transmitting the waveform data of normal ECG signal code and abnormal ECG signal to the remote two-way communication module of the remote server, and transmit the analysis results sent by the remote two-way communication module of the remote server to the real-time data display module;
数据实时显示模块7采用常规显示电路设计结构,并具有报警功能;数据实时显示模块7用于实时显示分析结果和报警。The real-time data display module 7 adopts a conventional display circuit design structure and has an alarm function; the real-time data display module 7 is used for real-time display of analysis results and alarms.
远程服务器由远程双向通信模块、心电信号数据库、数据分析模块构成:The remote server consists of a remote two-way communication module, an ECG signal database, and a data analysis module:
远程双向通信模块的输入端连接数据传输模块和数据分析模块,输出端连接数据传输模块、心电信号数据库和显示器;远程双向通信模块用于传送正常心电信号代码和异常心电信号的波形数据至心电信号数据库,以及传送分析结果至数据传输模块和显示终端The input end of the remote two-way communication module is connected to the data transmission module and the data analysis module, and the output end is connected to the data transmission module, ECG signal database and display; the remote two-way communication module is used to transmit the waveform data of normal ECG signal codes and abnormal ECG signals To the ECG signal database, and transmit the analysis results to the data transmission module and display terminal
心电信号数据库的输入端连接远程双向通信模块和数据分析模块,输出端连接远程双向通信模块和数据分析模块;用于存储正常心电信号代码和异常心电信号的波形数据,以及存储数据分析模块的分析结果;The input end of the ECG signal database is connected to the remote two-way communication module and the data analysis module, and the output end is connected to the remote two-way communication module and the data analysis module; it is used to store the waveform data of normal ECG signal codes and abnormal ECG signals, and store data analysis Analysis results of the module;
数据分析模块的输入端连接心电信号数据库,输出端连接心电信号数据库和远程双向通信模块;用于对异常心电信号的波形数据进行判断分析,得到分析结果。The input end of the data analysis module is connected to the ECG signal database, and the output end is connected to the ECG signal database and the remote two-way communication module; it is used for judging and analyzing the waveform data of abnormal ECG signals to obtain analysis results.
实施例2:心电信号压缩传输方法Embodiment 2: ECG signal compression transmission method
(1)将三导联电极安放到人体相应位置,采集得到三导联心电信号,先将三导联心电信号输入数据处理模块的高精密放大器AD8232,进行信号放大;然后输入到STM32处理器,先通过陷波滤波器去除50Hz或60Hz的工频信号;然后通过低通滤波器(截止频率设为-40dB)去除100Hz以上的噪声干扰,并为截止频率提供稳定的通频带0.05Hz~100Hz,以去除一部分和心电信号极为相似的杂波并最大限度还原原始心电波形;(1) Place the three-lead electrodes on the corresponding positions of the human body, collect the three-lead ECG signals, first input the three-lead ECG signals into the high-precision amplifier AD8232 of the data processing module, and perform signal amplification; then input them into the STM32 for processing First, remove the 50Hz or 60Hz power frequency signal through the notch filter; then remove the noise interference above 100Hz through the low-pass filter (cutoff frequency is set to -40dB), and provide a stable passband for the cutoff frequency 0.05Hz~ 100Hz, to remove part of the clutter that is very similar to the ECG signal and restore the original ECG waveform to the greatest extent;
(2)将步骤(1)处理后的心电信号按图3的流程进行互相关运算,互相关运算公式为公式中,R12表示相关系数,Tm为积分时间,单位:秒(Tm=k×T:其中k=1;T=1/60S,为一个心动周期时长);τ为Si到Si+1的渡越时间,单位为秒;d为微分算子;t为时间变量,单位:秒:(2) Perform cross-correlation calculation on the ECG signal processed in step (1) according to the flow chart in Fig. 3, and the cross-correlation calculation formula is In the formula, R12 represents the correlation coefficient, Tm is the integration time, unit: second (Tm =k×T: where k=1; T=1/60S, which is the duration of one cardiac cycle); τ is Si to S The transit time ofi+1 , the unit is second; d is the differential operator; t is the time variable, the unit is second:
(2.1)获取一个心动周期时长的心电信号,将对其峰值进行归一化后的信号记为Si(见图4),将Si与其下一个相邻的峰值归一化后的心电信号Si+1(见图4)按公式进行互相关运算,得到Si与Si+1的互相关系数R12=0.325,如图5所示,该互相关系数幅值大于判断阈值0.3,则可判定心电信号无异常变化,发送一个正常心电信号代码OK到远程服务器,以此类推进行计算,直至获取到心电信号Si+q;(2.1) Obtain an ECG signal with a duration of a cardiac cycle, record the signal after normalizing its peak value as Si (see Figure 4), and normalize the ECG signal after Si and its next adjacent peak value Electrical signal Si+1 (see Figure 4) according to the formula Perform cross-correlation calculations to obtain the cross-correlation coefficient R12 = 0.325 between Si and Si+1 , as shown in Figure 5, if the magnitude of the cross-correlation coefficient is greater than the judgment threshold of 0.3, it can be determined that there is no abnormal change in the ECG signal, and send A normal ECG signal code OK is sent to the remote server, and the calculation is performed by analogy until the ECG signal Si+q is obtained;
(2.2)获取峰值归一化后的心电信号Si+q(见图6),将Si+q与其下一个相邻的峰值归一化的心电信号Si+q+1(见图6)进行互相关运算,得到Si+q与Si+q+1的互相关系数R12=0.25,如图7所示,该值小于判断阈值0.3,则可判定后一个心动周期的心电信号与前一个周期的正常心电信号波形有较大差异,发生异常,此时将Si+q存入数据处理模块缓存,并将Si+q之后30s时间段内的原始心电信号波形数据(即Si+q+1~Si+q+n,n=30)通过数据传输模块发送到远程服务器;该原始心电信号波形数据即经步骤(1)处理后的三导联心电信号数据;(2.2) Obtain the peak-normalized ECG signal Si+q (see Figure 6), and normalize the ECG signal Si+q+1 between Si+q and its next adjacent peak value (see Fig. 6) Carry out the cross-correlation operation, and obtain the cross-correlation coefficient R12 = 0.25 between Si+q and Si+q+1 , as shown in Fig. 7, if this value is less than the judgment threshold 0.3, it can be judged that the heart rate of the next cardiac cycle is The ECG signal is quite different from the normal ECG signal waveform of the previous cycle, and an abnormality occurs. At this time, Si+q is stored in the cache of the data processing module, and the original ECG signal within 30s after Si+q The signal waveform data (i.e. Si+q+1 ~ Si+q+n , n=30) is sent to the remote server through the data transmission module; the original ECG signal waveform data is the three-lead Combined ECG signal data;
(2.3)此后,将缓存中的正常心电信号Si+q与Si+q+31与进行互相关运算,得到Si+q与Si+q+31的互相关系数R12,然后将R12与判断阈值进行比较,如果R12≥判断阈值,则按步骤(2.1)进行计算,如果R12<判断阈值,则按步骤(2.2)进行计算。(2.3) Thereafter, the normal ECG signals Si+q and Si+q+31 in the buffer are cross-correlated to obtain the cross-correlation coefficient R12 of Si+q and Si+q+31 , and then Comparing R12 with the judgment threshold, if R12 ≥ judgment threshold, then proceed to calculation according to step (2.1); if R12 <judgment threshold, then proceed to step (2.2) for calculation.
(3)由步骤(2)输出的数据(原始心电信号波形数据或正常心电信号代码OK)经远程服务器的远程双向通信模块传输,存入心电信号数据库,然后数据分析模块按现有常规算法对存储于心电信号数据库中的原始波形数据进行异常分析处理,并得出分析结果,分析结果一方面存储进心电信号数据库存储,监护人员可以在显示器网页上或手机APP终端查看存储的分析结果,另一方面经远程双向通信模块向心电数据采集设备传送,传送至心电数据采集设备的分析结果经数据传输模块传送至数据实时显示模块,在数据实时显示模块实时查看分析结果以及提示报警。(3) the data (original electrocardiographic signal waveform data or normal electrocardiographic signal code OK) by the step (2) output is transmitted through the long-distance two-way communication module of long-distance server, is stored in electrocardiographic signal database, then data analysis module according to existing The conventional algorithm performs abnormal analysis and processing on the original waveform data stored in the ECG signal database, and obtains the analysis results. On the one hand, the analysis results are stored in the ECG signal database, and the guardians can view and store them on the display web page or mobile APP terminal On the other hand, the analysis results are transmitted to the ECG data acquisition equipment through the remote two-way communication module, and the analysis results transmitted to the ECG data acquisition equipment are transmitted to the data real-time display module through the data transmission module, and the analysis results can be viewed in real time in the data real-time display module And prompt alarm.
根据实施例2的方法对心脏病人的心电信号进行24h检测,经统计,采用本发明的方法对异常心电信号的分辨率达85%。According to the method of embodiment 2, the ECG signals of heart disease patients are detected for 24 hours. According to statistics, the resolution of abnormal ECG signals using the method of the present invention reaches 85%.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510974314.6ACN105476624B (en) | 2015-12-22 | 2015-12-22 | Compress ecg data transmission method and its electrocardiogram monitor system |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510974314.6ACN105476624B (en) | 2015-12-22 | 2015-12-22 | Compress ecg data transmission method and its electrocardiogram monitor system |
| Publication Number | Publication Date |
|---|---|
| CN105476624Atrue CN105476624A (en) | 2016-04-13 |
| CN105476624B CN105476624B (en) | 2018-04-17 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510974314.6AActiveCN105476624B (en) | 2015-12-22 | 2015-12-22 | Compress ecg data transmission method and its electrocardiogram monitor system |
| Country | Link |
|---|---|
| CN (1) | CN105476624B (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107302549A (en)* | 2016-04-14 | 2017-10-27 | 宾盛科技(武汉)有限公司 | A kind of remote data transmission and storage system and method |
| CN108606781A (en)* | 2018-05-23 | 2018-10-02 | 广东工业大学 | A kind of epilepsy localization system based on the brain electricity higher-order of oscillation rhythm and pace of moving things |
| CN108784690A (en)* | 2018-06-19 | 2018-11-13 | 苏州修普诺斯医疗器械有限公司 | Mobile EEG signals Transmission system and method for transmitting signals |
| CN110840430A (en)* | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN111035381A (en)* | 2018-10-15 | 2020-04-21 | 深圳华清心仪医疗电子有限公司 | Real-time electrocardiogram data lossless compression method |
| CN111504672A (en)* | 2019-01-30 | 2020-08-07 | 合肥美亚光电技术股份有限公司 | Method, device and equipment for evaluating performance of spray valve |
| CN111565191A (en)* | 2020-05-07 | 2020-08-21 | 南通保利佳服务外包有限公司 | Data compression and transmission system and method |
| CN111711969A (en)* | 2020-06-12 | 2020-09-25 | 荆门汇易佳信息科技有限公司 | Power saving method of health mobile monitoring platform focusing on Android mobile terminal |
| CN113855040A (en)* | 2021-11-09 | 2021-12-31 | 郑州大学第一附属医院 | Embedded type children electrocardiogram monitoring equipment and system |
| CN116369868A (en)* | 2023-06-07 | 2023-07-04 | 青岛大学附属医院 | Sleep staging monitoring method and device based on big data |
| CN116636858A (en)* | 2023-05-30 | 2023-08-25 | 山东管理学院 | ECG sensing signal coding method and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0613653A2 (en)* | 1990-02-15 | 1994-09-07 | Hewlett-Packard GmbH | Method for non-invasive measurement of oxygen saturation |
| DE4405827A1 (en)* | 1993-12-02 | 1995-06-08 | Max Planck Gesellschaft | ECG data compression in implanted monitor system |
| US6049766A (en)* | 1996-11-07 | 2000-04-11 | Creative Technology Ltd. | Time-domain time/pitch scaling of speech or audio signals with transient handling |
| CN101690659A (en)* | 2009-09-29 | 2010-04-07 | 华东理工大学 | Brain wave analysis method |
| CN102347944A (en)* | 2011-07-22 | 2012-02-08 | 哈尔滨工业大学深圳研究生院 | Wavelet algorithm-based electrocardiogram (ECG) signal transmission method and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0613653A2 (en)* | 1990-02-15 | 1994-09-07 | Hewlett-Packard GmbH | Method for non-invasive measurement of oxygen saturation |
| DE4405827A1 (en)* | 1993-12-02 | 1995-06-08 | Max Planck Gesellschaft | ECG data compression in implanted monitor system |
| US6049766A (en)* | 1996-11-07 | 2000-04-11 | Creative Technology Ltd. | Time-domain time/pitch scaling of speech or audio signals with transient handling |
| CN101690659A (en)* | 2009-09-29 | 2010-04-07 | 华东理工大学 | Brain wave analysis method |
| CN102347944A (en)* | 2011-07-22 | 2012-02-08 | 哈尔滨工业大学深圳研究生院 | Wavelet algorithm-based electrocardiogram (ECG) signal transmission method and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107302549A (en)* | 2016-04-14 | 2017-10-27 | 宾盛科技(武汉)有限公司 | A kind of remote data transmission and storage system and method |
| CN108606781A (en)* | 2018-05-23 | 2018-10-02 | 广东工业大学 | A kind of epilepsy localization system based on the brain electricity higher-order of oscillation rhythm and pace of moving things |
| CN108784690A (en)* | 2018-06-19 | 2018-11-13 | 苏州修普诺斯医疗器械有限公司 | Mobile EEG signals Transmission system and method for transmitting signals |
| CN110840430B (en)* | 2018-08-21 | 2022-09-13 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN110840430A (en)* | 2018-08-21 | 2020-02-28 | 北京万生人和科技有限公司 | Intra-abdominal pressure data screening method, computer-readable storage medium, and intra-abdominal pressure data screening device |
| CN111035381A (en)* | 2018-10-15 | 2020-04-21 | 深圳华清心仪医疗电子有限公司 | Real-time electrocardiogram data lossless compression method |
| CN111035381B (en)* | 2018-10-15 | 2023-02-14 | 深圳华清心仪医疗电子有限公司 | Real-time electrocardiogram data lossless compression method |
| CN111504672A (en)* | 2019-01-30 | 2020-08-07 | 合肥美亚光电技术股份有限公司 | Method, device and equipment for evaluating performance of spray valve |
| CN111565191A (en)* | 2020-05-07 | 2020-08-21 | 南通保利佳服务外包有限公司 | Data compression and transmission system and method |
| CN111711969A (en)* | 2020-06-12 | 2020-09-25 | 荆门汇易佳信息科技有限公司 | Power saving method of health mobile monitoring platform focusing on Android mobile terminal |
| CN113855040A (en)* | 2021-11-09 | 2021-12-31 | 郑州大学第一附属医院 | Embedded type children electrocardiogram monitoring equipment and system |
| CN113855040B (en)* | 2021-11-09 | 2023-04-14 | 郑州大学第一附属医院 | An embedded children's ECG monitoring device and system |
| CN116636858A (en)* | 2023-05-30 | 2023-08-25 | 山东管理学院 | ECG sensing signal coding method and system |
| CN116369868A (en)* | 2023-06-07 | 2023-07-04 | 青岛大学附属医院 | Sleep staging monitoring method and device based on big data |
| CN116369868B (en)* | 2023-06-07 | 2023-08-11 | 青岛大学附属医院 | Sleep staging monitoring method and device based on big data |
| Publication number | Publication date |
|---|---|
| CN105476624B (en) | 2018-04-17 |
| Publication | Publication Date | Title |
|---|---|---|
| CN105476624B (en) | Compress ecg data transmission method and its electrocardiogram monitor system | |
| CN109907729B (en) | A method for detecting vital signs during sleep | |
| CN102125428B (en) | Vital sign monitoring system for diver in underwater operation | |
| US20130317377A1 (en) | Generative Model-Driven Resource-Efficient Monitoring in Body Sensor Networks | |
| CN102166119B (en) | Single-arm type electrocardio auxiliary fall detector | |
| CN103637782B (en) | A kind of health monitoring system based on intelligent terminal and method | |
| CN203789907U (en) | Firefighter vital sign monitoring device based on Bluetooth technology | |
| JP2000316825A (en) | Device for constantly monitoring heart sound | |
| CN104188652A (en) | Real-time control method and system for electrocardiogram data quality | |
| CN104287722A (en) | Wireless remote multi-user electrocardiograph monitoring system and method | |
| CN202179534U (en) | Subminiature atrial fibrillation detector | |
| CN102961131A (en) | Automatic detection and transformation method for loose of electrocardiograph limb electrodes | |
| CN207477498U (en) | Sitting posture detection device for vital signs and system | |
| CN106889992A (en) | Supra-aural detection device for vital signs and system | |
| KR20130127773A (en) | Automated external defibrillator including motion artifact measurement and deleting facility | |
| CN105125202A (en) | Electrocardiogram monitoring system based on low-noise amplifier | |
| CN103892823A (en) | Dynamic electrocardiograph monitoring system based on internet of things | |
| CN107595277A (en) | An electrocardiogram monitoring system and monitoring method with motion recognition and positioning functions | |
| CN204260739U (en) | Electrocardiographic quality of data real-time control system | |
| CN115153580A (en) | A skin impedance measurement method and system for fetal ECG monitoring | |
| CN106308748A (en) | Method for analyzing dysfunction of patient with low back pain and device for implementing method | |
| CN104814732A (en) | ECG monitor | |
| CN213606426U (en) | Dynamic anti-interference portable automatic electrocardiogram analyzer | |
| CN207627320U (en) | Supra-aural detection device for vital signs and system | |
| CN202005747U (en) | Vital sign monitoring device for diver in underwater operation |
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |