CN109394206B - Real-time monitoring method and device based on premature beat signal in wearable electrocardiosignal - Google Patents
Real-time monitoring method and device based on premature beat signal in wearable electrocardiosignal Download PDFInfo
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Abstract
The invention discloses a real-time monitoring method and a device based on a premature beat signal in a wearable electrocardiosignal, the electrocardiosignal feature extraction unit extracts the R wave position, RR interval mean value, R wave amplitude, QRS wave width, R wave correlation coefficient and other feature parameters of the heart beat to be detected, the parameters are calculated and compared through the quasi-premature beat heart beat detection unit, the ventricular premature beat detection unit and the supraventricular premature beat detection unit in sequence, the monitoring and classification of the electrocardiosignals are realized, the premature beat calibration unit deletes the false detection heart beat in the ventricular premature beat and the supraventricular premature beat through the R wave correlation coefficient again, and increases the missed ventricular premature beat, therefore, the real-time and comfortable monitoring of the ventricular premature beat and the supraventricular premature beat in daily activities of people is realized, the algorithm is simple, the operation is convenient, and the method is suitable for the fields of mobile medical treatment, exercise monitoring, medical monitoring and the like.
Description
Field of the invention
The invention relates to the technical field of signal detection and medical equipment electronics, in particular to a real-time monitoring method and a real-time monitoring device for a premature beat signal in a wearable electrocardiosignal.
Background
Premature beats, also known as extra-systoles or extra-systoles, are the most common and frequent arrhythmias. Depending on the mechanism of occurrence, it can be divided into two types, ventricular premature beats and supraventricular premature beats, the most common of which are ventricular premature beats and the second of which are supraventricular premature beats. Premature beat can occur in normal people and patients with organic heart diseases, is commonly seen in myocarditis, rheumatic heart disease and the like, correctly detects a premature beat signal, is a key for improving the detection accuracy of arrhythmia events, and has important practical value for improving heart disease diagnosis and monitoring serious patients.
As is well known, for the control and prevention of such diseases, the electrocardiographic data needs to be recorded and monitored in real time for a long time, and good control effect can be achieved through early analysis and intervention. If the patient chooses to go to a hospital for a long-term examination, the hospitalizing process is complicated, the cost is high, and the patient cannot bear the medical examination in ordinary families. The existing household electrocardio monitor in the market still has the problems of large volume and incapability of real-time diagnosis, and a wearable electrocardio monitoring system not only saves the cost of equipment and reduces the volume of the equipment, but also can realize local real-time electrocardio analysis and remote information communication and becomes the main trend of mobile medical products. Meanwhile, the computing power of the mobile platform is limited, so that the time complexity and the space complexity of an analysis algorithm running on the platform are not too large.
The existing premature beat automatic diagnosis algorithm comprises a neural network method, a template matching method, a support vector machine, deep learning and the like, and is not suitable for real-time application under a mobile platform due to the defects of long training time, low calculation efficiency, high dependence of algorithm samples, more required characteristic values and the like. Therefore, the method and the device for monitoring the premature beat signal in the wearable electrocardiosignal in real time are simple in algorithm and convenient to use, and are a great important improvement and breakthrough on the conventional electrocardiosignal premature beat monitoring device.
Disclosure of Invention
The invention aims at the problems in the prior art and provides a real-time monitoring method and a device of premature beat signals in wearable electrocardiosignals, which are characterized in that the electrocardiosignal characteristic extraction unit is used for extracting the characteristic parameters of the R wave position, RR interval mean value, R wave amplitude, QRS wave width, R wave correlation coefficient and the like of a heart beat to be detected, the parameters are calculated and compared sequentially through the quasi-premature beat heart beat detection unit, the ventricular premature beat detection unit and the supraventricular premature beat detection unit to realize the monitoring classification of the electrocardiosignals, the premature beat check unit deletes the false detection heart beats in the ventricular premature beat and the supraventricular premature beat by the R wave correlation coefficient again and increases the missed ventricular premature beat, thereby realizing the real-time and comfortable monitoring of the ventricular premature beat and the supraventricular premature beat under the daily activities of people, having simple algorithm and convenient operation, and being suitable for mobile medical treatment, and the like, The fields of sports monitoring and medical monitoring, etc.
In order to achieve the purpose, the invention adopts the technical scheme that: the real-time monitoring method based on the premature beat signal in the wearable electrocardiosignal comprises the following steps:
s1, reading electrocardiosignals: reading 10 seconds of electrocardiosignals for monitoring, wherein the 10 seconds of electrocardiosignals consist of the current 2 seconds of electrocardiosignals and the previous 8 seconds of electrocardiosignals;
s2, preprocessing the electrocardiosignal;
s3, extracting electrocardiosignal characteristic parameters: extracting characteristic parameters of the heart beat to be detected from the electrocardiosignals preprocessed in the step S2, wherein the characteristic parameters comprise the R wave position of the heart beat to be detected in the 10-second electrocardiosignals, the RR intervals of all the heart beats to be detected, the RR interval mean value of the 10-second electrocardiosignals, the R wave amplitude of all the heart beats to be detected, the R wave amplitude mean value of the 10-second electrocardiosignals, the QRS wave width of all the heart beats to be detected, the QRS wave width mean value of the 10-second electrocardiosignals, the R wave correlation coefficients of all the heart beats to be detected and the R wave correlation number mean value of the 10-second electrocardiosignals;
s4, judging the premature beat: judging whether the electrocardiosignal is a quasi-premature beat heartbeat according to the RR interval of the heartbeat to be detected, if so, continuing to step S5; if not, the signal is normal heartbeat;
s5, judging ventricular premature beat: judging whether the quasi-premature beat screened in the step S4 is a ventricular premature beat or not according to the R wave correlation coefficient, the QRS wave width and the R wave amplitude of the beat to be measured, if not, screening out a non-ventricular premature beat, and continuing to the step S6; if yes, the signal is ventricular premature beat;
s6, judging the supraventricular premature beat: judging whether the ventricular premature beat is the supraventricular premature beat or not according to the R wave correlation coefficient of the non-ventricular premature beat screened in the step S5 and the R wave correlation number average value of the 10-second electrocardiosignal, and if so, continuing to perform the step S7; if not, the signal is normal heartbeat;
s7, checking the premature beat and the heart beat: the premature beat check comprises supraventricular premature beat self-check, normal ventricular premature beat self-check and ventricular premature beat mutual-check, and is used for judging whether the supraventricular premature beat has a false-check ventricular premature beat, whether the normal ventricular premature beat has a false-check noise signal and whether the normal beat has a missed-check ventricular premature beat.
As a modification of the present invention, the determination method in step S4 is: if the previous RR interval of each heart beat to be detected is smaller than the mean value of the RR intervals of the 10-second electrocardiosignals, the next RR interval of the heart beat to be detected is larger than the mean value of the RR intervals of the 10-second electrocardiosignals, and the sum of the previous RR interval of each heart beat to be detected and the next RR interval of the heart beat to be detected is smaller than or equal to twice the mean value of the RR intervals of the 10-second electrocardiosignals, the result is yes, otherwise, the result is no.
As a modification of the present invention, the ventricular premature beats in step S5 include normal ventricular premature beats, insertion ventricular premature beats and continuous ventricular premature beats, the determination methods of the three beats are different, and as long as one of the two beats is yes, the result in step S5 is yes.
As another improvement of the invention, the method for judging the normal ventricular premature beat comprises the following steps: if the correlation number of the R wave of each quasi-premature beat is smaller than the mean value of the correlation numbers of the R wave of the 10-second electrocardiosignals, the QRS wave width of each quasi-premature beat is larger than the mean value of the QRS wave width of the 10-second electrocardiosignals, and the R wave amplitude of each quasi-premature beat deviates from the mean value of the R wave amplitude of the 10-second electrocardiosignals, the result is yes; otherwise, the result is no, and the signal is non-ventricular premature beat.
As another improvement of the present invention, the method for determining an inserted ventricular premature beat comprises: if the sum of the previous RR interval of each heart beat to be detected and the next RR interval of each heart beat to be detected is 80-120% of the mean value of the RR intervals of the 10-second electrocardiosignals, and the R wave phase relation number of the heart beat to be detected is less than the mean value of the R wave phase relation numbers of the 10-second electrocardiosignals, the result is yes; otherwise, the result is no, and the signal is normal heartbeat.
As a further improvement of the invention, the supraventricular premature beat in the step S6 includes a normal supraventricular premature beat and a continuous supraventricular premature beat,
the method for judging the normal supraventricular premature beat comprises the following steps: whether the R wave phase relation number of the screened non-ventricular premature beat is more than 80% of the mean value of the R wave phase relation number of the 10-second electrocardiosignal or not;
the method for judging the continuous supraventricular premature beat comprises the following steps: whether the RR interval of the heart beat to be detected before the current normal supraventricular premature beat is smaller than the RR interval mean value of the 10-second electrocardiosignal and is between 80% and 120% of the RR interval of the current normal supraventricular premature beat;
when one of the above two determinations is yes, step S6 is yes.
As a further improvement of the present invention, the self-checking method for the supraventricular premature beat in step S7 is: if the number of the correlation coefficients between each supraventricular premature beat and all other supraventricular premature beats, which is less than 0.6, is greater than 2/3 of the number of the other supraventricular premature beats, determining the supraventricular premature beat as a normal ventricular premature beat; otherwise, determining the heart beat as the supraventricular premature beat;
the self-checking method for the normal ventricular premature beat comprises the following steps: if the number of the correlation coefficients of each normal ventricular premature beat and other normal ventricular premature beats, which is less than 0.6, is greater than 2/3 of the number of the other normal ventricular premature beats, determining the normal ventricular premature beat as a noise signal; otherwise, determining the ventricular premature beat as a normal ventricular premature beat;
the mutual ventricular premature beat inspection method comprises the following steps: if the number of correlation coefficients of each normal heartbeat and the ventricular premature beats, which is greater than 0.9, is greater than 2/3 of the ventricular premature beats, determining the normal heartbeat as the ventricular premature beat; otherwise, it is normal heartbeat.
In order to achieve the purpose, the invention adopts the technical scheme that: the real-time monitoring device based on the premature beat signal in the wearable electrocardiosignal comprises a wearable electrocardiosignal detection module and a real-time premature beat detection module,
the wearable electrocardiosignal detection module comprises a dry electrode unit for signal sensing, a signal detection unit for signal processing and a communication module unit for real-time communication;
the real-time premature beat detection module comprises an electrocardiosignal reading unit for reading signals, an electrocardiosignal preprocessing unit for preprocessing signals, an electrocardiosignal characteristic extraction unit for extracting signal characteristics, a premature beat detection unit for detecting the premature beat, a ventricular premature beat detection unit for detecting the ventricular premature beat, a supraventricular premature beat detection unit for detecting the supraventricular premature beat and a premature beat verification unit for verifying the ventricular premature beat and the supraventricular premature beat;
the electrocardiosignal feature extraction unit extracts the feature parameters of the heart beat to be detected, and parameter calculation comparison is carried out sequentially by the quasi-premature beat heart beat detection unit, the ventricular premature beat detection unit, the supraventricular premature beat detection unit and the premature beat calibration unit, so that the monitoring and classification of the electrocardiosignals are realized.
As an improvement of the invention, the wearable electrocardiosignal detection module is connected with the real-time premature beat detection module in a wired or wireless way, and the real-time premature beat monitoring module is positioned in an internal system of the wearable electrocardiosignal detection module; or the wearable electrocardiosignal monitoring module is separated and is positioned in an external mobile platform.
As a further improvement of the invention, the number and the layout of the dry electrode units are not unique, and the monitoring devices forming different leads
Compared with the prior art, the invention has the beneficial effects that:
1. the adopted wearable electrocardiosignal detection module can adjust the number and the arrangement positions of the dry electrodes according to specific monitoring requirements to form a wearable electrocardiosignal detection device with different leads, so that the adaptability of the device is improved, and the application range of the device is widened;
2. the adopted real-time premature beat detection module only needs to simply preprocess an algorithm, extracts simple characteristic parameters such as an R wave position, an RR interphase, an average RR interphase, an R wave amplitude, a QRS wave width, an R wave correlation coefficient and the like, and then judges ventricular premature beats and supraventricular premature beats by integrating the characteristic parameters, so that the ventricular premature beats and the supraventricular premature beats can be detected more simply, quickly and accurately compared with the prior art, the real-time performance and the accuracy rate of the algorithm are improved, the calculated amount of the algorithm is reduced, and the method can be quickly transplanted to different mobile terminals for relevant application of mobile medical treatment;
3. the adopted real-time premature beat detection module can monitor ventricular premature beat and supraventricular premature beat in real time only by processing single-lead electrocardiosignals, and redundant errors of multi-lead electrocardiosignals cannot be introduced in the application of dynamic electrocardio data, so that the detection efficiency is high;
4. the adopted real-time premature beat heart beat detection module only aims at simple characteristic parameters of the RRS waves such as RR interphase, R wave amplitude, QRS wave width, R wave correlation coefficient and the like, does not relate to too many morphological characteristics of the electrocardiographic wave, and has good processing effect and high detection accuracy on dynamic electrocardiographic data with large baseline drift and much motion noise;
5. the real-time premature beat detection module is used for detecting ventricular premature beat and supraventricular premature beat according to the specific characteristics of different subtypes, the detection accuracy is high, and meanwhile, according to the detection results of the ventricular premature beat and the supraventricular premature beat, the subtype classification (such as bigeminal rule, ventricular velocity and ventricular fibrillation) can be further carried out only by simple operation, and the detection is convenient and rapid.
6. The wearable electrocardiosignal detection module is connected with the real-time premature beat detection module in a wired or wireless mode, the real-time premature beat monitoring module can be positioned in an internal system of the wearable electrocardiosignal detection module, is integrated, can be separated from the wearable electrocardiosignal monitoring module, is positioned in an external mobile platform, is simple in structure, convenient and fast to operate, flexible and changeable, meets the requirements of different users, and realizes real-time and light-weight effective monitoring of the premature beat signals of the wearable electrocardiosignals.
Drawings
FIG. 1 is a schematic structural diagram of a wearable real-time monitoring device for a premature beat signal in an electrocardiosignal according to the present invention;
FIG. 2 is a schematic structural diagram of a 12-lead split monitoring device in embodiment 2 of the present invention;
FIG. 3 is a schematic diagram of a determination process of a quasi-premature beat detection unit in the real-time premature beat detection module according to the present invention;
FIG. 4 is a schematic view of the determination process of the ventricular premature beat detection unit in the real-time premature beat detection module according to the present invention;
FIG. 5 is a schematic view of a determination process of the supraventricular premature beat detection unit in the real-time premature beat detection module according to the present invention;
FIG. 6 is a schematic flow chart of a method of the supraventricular premature beat self-check link of the premature beat check unit in the real-time premature beat detection module according to the present invention;
FIG. 7 is a schematic flow chart of the ventricular premature beat self-checking procedure of the premature beat checking unit in the real-time premature beat detection module according to the present invention;
FIG. 8 is a schematic flow chart of a ventricular premature beat mutual-check link of a premature beat check unit in the real-time premature beat detection module according to the present invention;
reference numerals: 1. the wearable electrocardiosignal detection module comprises 110 dry electrode units, 130 signal detection units, 150 communication module units;
2. the real-time premature beat detection module comprises a 210 electrocardiosignal reading unit, 220 electrocardiosignal preprocessing unit, 230 electrocardiosignal characteristic extraction unit, 240 premature beat detection unit, 250 ventricular premature beat detection unit, 260 supraventricular premature beat detection unit and 270 premature beat verification unit.
Detailed Description
The invention will be explained in more detail below with reference to the drawings and examples.
Example 1
A real-time monitoring device based on a premature beat signal in wearable electrocardiosignals is shown in figure 1 and comprises a wearable electrocardiosignal detection module 1 and a real-time premature beat detection module 2,
the wearable electrocardiosignal detection module 1 comprises a dry electrode unit 110 for signal sensing, a signal detection unit 130 for signal processing and a communication module unit 150 for real-time communication, the dry electrode unit 110 can continuously acquire electrocardio data of a human body in real time on the premise of ensuring comfort, one end of the signal detection unit 130 is connected with the dry electrode unit 110, and the other end of the signal detection unit 130 is connected with the communication module unit 150; the signal detection unit 130 converts the analog electrocardiosignals detected by the dry electrode unit 110 into digital signals, and sends the digital signals to the real-time premature beat detection module 2 through the communication module unit 150; the communication module unit 150 communicates with the real-time premature beat detection module 2 in real time in a wired or wireless manner;
the real-time premature beat detection module 2 comprises an electrocardiosignal reading unit 210 for reading signals, an electrocardiosignal preprocessing unit 220 for preprocessing signals, an electrocardiosignal characteristic extraction unit 230 for extracting signal characteristics, a premature beat detection unit 240 for detecting the premature beat, a ventricular premature beat detection unit 250 for detecting the ventricular premature beat, a supraventricular premature beat detection unit 260 for detecting the supraventricular premature beat and a premature beat verification unit 270 for verifying the ventricular premature beat and the supraventricular premature beat;
the electrocardiosignal feature extraction unit 210 extracts feature parameters of a heart beat to be detected, parameter calculation and comparison are sequentially carried out through the quasi-premature beat heart beat detection unit 240, the ventricular premature beat detection unit 250 and the supraventricular premature beat detection unit 260, monitoring and classification of electrocardiosignals are achieved, then the premature beat verification unit 270 deletes false detection heart beats in the ventricular premature beat and the supraventricular premature beat through the feature parameters again, and increases missed ventricular premature beat beats, so that real-time and comfortable monitoring of ventricular premature beats and supraventricular premature beats under daily activities of people is achieved.
Example 2
Real-time supervision device based on precordial beat signal in wearing formula electrocardiosignal, including wearing formula electrocardiosignal detection module 1 and real-time precordial beat detection module 2, real-time precordial beat detection module 2 can be implemented in wearing formula electrocardiosignal detection module 1's internal system, is the integration, for example: is arranged in the signal detection unit 130; meanwhile, the real-time premature beat detection module 2 may also be implemented in an external mobile platform, and is in a split type, for example, configured in a mobile terminal such as a mobile phone, as shown in fig. 2, in this embodiment, the real-time premature beat detection module 2 is in a split type and configured on the mobile phone.
Wearable electrocardiosignal detection module 1 accessible is wired or wireless mode and is connected with real-time premature beat heart beat detection module 2, simple structure, and the simple operation is nimble changeable, is applicable to different users' demand, wearable electrocardiosignal detection module 1 includes dry electrode unit 110, signal detection unit 130 and communication module unit 150, the number and the overall arrangement of dry electrode unit 110 are not unique, form the monitoring devices of different leads, and the wireless mode connection is chooseed for use to this embodiment, adopts 12 wearing electrocardiosignal detection module that leads, and dry electrode unit pastes according to clinical 12 electrodes and puts the position and arrange on the human surface.
The 12-lead wearable electrocardiosignal detection module 1 acquires 12-lead electrocardiosignals through the dry electrode unit 110, converts analog signals into digital signals through the signal detection unit 130, sends the converted digital signals to the real-time premature beat detection module 2, is sequentially connected with the electrocardiosignal reading unit 210, the electrocardiosignal preprocessing unit 220, the electrocardiosignal characteristic extraction unit 230, the quasi-premature beat detection unit 240, the ventricular premature beat detection unit 250, the supraventricular premature beat detection unit 260 and the premature beat verification unit 270, the electrocardiosignal reading unit 210 forms 10-second electrocardiosignals by reading the current 2-second electrocardiosignals and the first 8-second electrocardiosignals, the extracted electrocardiosignals are preprocessed through the electrocardiosignal preprocessing unit 220 to obtain preprocessed signals, the electrocardiosignal characteristic extraction unit 230 is used for extracting the R wave position of the heart to be detected from the preprocessed signals, the quasi-premature beat detection unit 240 determines the quasi-premature beat by judging the RR interval; the ventricular premature beat detection unit 250 determines the ventricular premature beat by judging the R wave correlation coefficient, the QRS wave width and the R wave amplitude value on the basis of the quasi-premature beat; the supraventricular premature beat detection unit 260 obtains the supraventricular premature beat by removing the ventricular premature beat in the quasi-premature beat; the premature beat checking unit 270 deletes the false detection beats in the ventricular premature beat and the supraventricular premature beat again through the R-wave correlation coefficient, and searches whether there is a missed ventricular premature beat from the normal beat, thereby realizing real-time monitoring of the premature beat signal based on the wearable electrocardiosignal.
The real-time premature beat heart beat detection module adopted by the embodiment is only aiming at simple characteristic parameters of the QRS waves such as RR interval, R wave amplitude, QRS wave width, R wave correlation coefficient and the like, does not relate to too many morphological characteristics of the electrocardiographic wave, and has good processing effect and high detection accuracy aiming at dynamic electrocardiographic data with large baseline drift and much motion noise.
Example 3
The real-time monitoring method based on the premature beat signal in the wearable electrocardiosignal comprises the following steps:
s1, reading electrocardiosignals: reading 10-second electrocardiosignals for monitoring, wherein the 10-second electrocardiosignals are composed of current 2-second electrocardiosignals and previous 8-second electrocardiosignals except the first 10-second electrocardiosignals;
s2, electrocardiosignal preprocessing: preprocessing the 10-second electrocardiosignal to obtain a preprocessed signal;
s3, extracting electrocardiosignal characteristic parameters: extracting characteristic parameters of the heart beat to be detected from the electrocardiosignals preprocessed in the step S2, wherein the characteristic parameters comprise the R wave position of the heart beat to be detected in the 10-second electrocardiosignals, the RR intervals of all the heart beats to be detected, the RR interval mean value of the 10-second electrocardiosignals, the R wave amplitude of all the heart beats to be detected, the R wave amplitude mean value of the 10-second electrocardiosignals, the QRS wave width of all the heart beats to be detected, the QRS wave width mean value of the 10-second electrocardiosignals, the R wave correlation coefficients of all the heart beats to be detected and the R wave correlation number mean value of the 10-second electrocardiosignals;
the R wave position of the heart to be measured in the 10-second electrocardiosignal is used for positioning the position of the peak value of each R wave in the 10-second electrocardiosignal;
the RR interval of the heart beat to be measured is used for calculating the difference value between the R wave positions of the heart beat to be measured in the 10-second electrocardiosignal;
the average value of the RR intervals of the 10-second electrocardiosignals is used for calculating the average value of the RR intervals of the heart beats to be detected in the preprocessed 10-second electrocardiosignals;
the R wave amplitude of the heart beat to be measured is used for calculating the amplitude of the 10-second electrocardiosignal at the R wave position of the heart beat to be measured in the 10-second electrocardiosignal;
the average value of the R wave amplitude of the 10-second electrocardiosignal is used for calculating the average value of the amplitude of the 10-second electrocardiosignal at the R wave position of the heart to be measured in the 10-second electrocardiosignal;
the QRS wave width of the heart beat to be measured is used for calculating the QRS wave width of the 10-second electrocardiosignal at the R wave position of the heart beat to be measured in the 10-second electrocardiosignal;
the QRS wave width mean value of the 10-second electrocardiosignal is used for calculating the mean value of the QRS wave width of the 10-second electrocardiosignal at the R wave position of the heart beat to be measured in the 10-second electrocardiosignal;
the R wave correlation coefficient of the heart beat to be detected is used for acquiring the waveform of the heart beat to be detected from the 10-second electrocardiosignal and calculating the correlation coefficient among the waveforms of the heart beat to be detected;
the R wave correlation number average value of the 10-second electrocardiosignal is used for calculating the average value of the R wave correlation coefficient of the heart beat to be measured;
s4, judging the premature beat: judging whether the electrocardiosignal is a quasi-premature beat heartbeat according to the RR interval of the heartbeat to be detected, if so, continuing to step S5; if not, the signal is a normal heartbeat, and the determination method and the flow of the step are shown in fig. 3:
s41, according to the step S3, the RR interphase of the heart beat to be detected and the RR interphase mean value of the 10-second electrocardiosignal are extracted;
s42, starting from the position of the second R wave, judging whether the RR intervals before and after each R wave meet the condition that the former RR interval is smaller than the RR interval mean value of the 10-second electrocardiosignal, the latter RR interval is larger than the RR interval mean value of the 10-second electrocardiosignal, and the sum of the two RR intervals before and after is smaller than or equal to twice the RR interval mean value of the 10-second electrocardiosignal;
s43, if the result is yes, the current heartbeat to be detected is output as a quasi-premature beat, and the step S5 is continued; otherwise, if the result is negative, the current heartbeat to be detected is output as a normal heartbeat;
s5, judging ventricular premature beat: judging whether the quasi-premature beat screened in the step S4 is a ventricular premature beat or not according to the R wave correlation coefficient, the QRS wave width and the R wave amplitude of the beat to be measured, if so, the signal is the ventricular premature beat; if not, screening out the non-ventricular premature beats and continuing to the step S6; the ventricular premature beats comprise three subtypes of normal ventricular premature beats, insertion ventricular premature beats and continuous ventricular premature beats, and whether the ventricular premature beats are normal ventricular premature beats or not is judged according to the R wave correlation coefficient and the mean value, the QRS wave width and the mean value, and the R wave amplitude and the mean value; judging whether the heart beat is the insertion ventricular premature beat according to the R wave correlation coefficient and the mean value and the RR interval and the mean value; judging whether the ventricular premature beat is a continuous ventricular premature beat according to the correlation number of the normal ventricular premature beat position and the R wave, wherein the judging method and the flow are shown in the figure 4:
s51, extracting the RR interval of the quasi-premature beat and the RR interval mean value of 10 seconds of electrocardiogram data, the R wave correlation coefficient and the R wave correlation number mean value of 10 seconds of electrocardiogram data, the QRS width and the QRS width mean value of 10 seconds of electrocardiogram data, and the R wave amplitude mean value of 10 seconds of electrocardiogram data;
s52, judging whether the R wave phase relation number of each quasi-premature beat heart beat is smaller than the mean value of the R wave phase relation numbers of the 10-second electrocardiogram data; if so, go to S53 and S55, respectively; if not, the current quasi-premature beat output is a non-ventricular premature beat;
s53, judging whether the QRS width of the current quasi-premature beat heart beat is larger than the QRS width mean value of the 10-second electrocardiogram data; if so, go to S54; if not, the current quasi-premature beat output is a non-ventricular premature beat;
s54, judging whether the R wave amplitude of the current quasi-premature beat is abnormal to the R wave amplitude mean value of the 10-second electrocardiogram data; if so, outputting the current quasi-premature beat as a normal ventricular premature beat; if not, the current quasi-premature beat output is a non-ventricular premature beat;
whether the R wave amplitude of the current quasi-premature beat is abnormal to the R wave amplitude mean value of the 10-second electrocardiogram data or not refers to whether the R wave amplitude of the current quasi-premature beat is larger than or smaller than the R wave amplitude mean value of the 10-second electrocardiogram data or not, the larger or smaller selection depends on the relation between the mean value of the R wave amplitudes of all the quasi-premature beats and the R wave amplitude mean value of the 10-second electrocardiogram data, and if the mean value of the R wave amplitudes of all the quasi-premature beats is larger than the R wave amplitude mean value of the 10-second electrocardiogram data, the larger selection is carried out; otherwise, selecting less than;
s55, judging whether the sum of the RR intervals before and after the current quasi-premature beat heartbeat is 80-120% of the mean value of the RR intervals of the 10-second electrocardiosignals; if so, outputting the current quasi-premature beat as an insertion ventricular premature beat; if not, the current quasi-premature beat output is a non-ventricular premature beat;
s56, extracting R wave correlation coefficients of adjacent normal beats of the normal ventricular premature beat;
s57, judging whether the correlation coefficient is smaller than the R wave correlation number mean value of the 10-second electrocardiosignal or not, and whether the correlation coefficient is between 80% and 120% of the R wave correlation number mean value of the 10-second electrocardiosignal or not; if yes, outputting the current normal ventricular premature beat adjacent to the heart beat and the current normal ventricular premature beat as a continuous ventricular premature beat; if not, the current normal ventricular premature beat is adjacently output as the normal beat;
s6, judging the supraventricular premature beat: judging whether the ventricular premature beat is the supraventricular premature beat or not according to the R wave correlation coefficient of the non-ventricular premature beat screened in the step S5 and the R wave correlation number average value of the 10-second electrocardiosignal, and if so, continuing to perform the step S7; if not, the signal is normal heartbeat; the supraventricular premature beat comprises two subtypes of a normal supraventricular premature beat and a continuous supraventricular premature beat, and the judging method and the flow are shown in figure 5:
s61, calculating the R wave correlation coefficient of the screened non-ventricular premature beat and the R wave correlation number average value of the 10-second electrocardio data according to the step S5;
s62, judging whether the R wave phase relation number of each non-ventricular premature beat is larger than (0.8 times the mean value of the R wave phase relation numbers); if so, the current non-ventricular premature beat output is the normal supraventricular premature beat, and the step S63 is continued; otherwise, if not, the current non-ventricular premature beat heart beat output is a normal heart beat;
s63, calculating the RR interval of the current normal supraventricular premature beat and the RR interval of the normal beat before the current normal supraventricular premature beat;
s64, judging whether the RR interval before the current normal ventricular premature beat is larger than (0.8 × the average value of the R wave correlation number), wherein the RR interval is between 80% and 120% of the RR interval of the current normal ventricular premature beat; if yes, outputting the normal heart beat before the current normal supraventricular premature heart beat and the current normal supraventricular premature heart beat as continuous supraventricular premature heart beats; otherwise, if not, the normal heartbeat output before the current normal supraventricular premature beat is the normal heartbeat;
s7, checking the premature beat and the heart beat: the premature beat check comprises a supraventricular premature beat self-check, a normal ventricular premature beat self-check and a ventricular premature beat mutual-check, the supraventricular premature beat self-check judges whether a ventricular premature beat which is falsely detected exists in the supraventricular premature beat according to a correlation coefficient among the supraventricular premature beats, and the judging method and the flow are shown as the following figure 6: judging whether the number of the correlation coefficients between each supraventricular premature beat and all other supraventricular premature beats is less than 0.6 is 2/3 greater than the number of the other supraventricular premature beats, if so, the supraventricular premature beat is determined to be a normal ventricular premature beat; if the result is negative, determining the ventricular premature beat as the supraventricular premature beat;
the normal ventricular premature beat self-test judges whether a false-detected noise signal exists in the normal ventricular premature beat according to the correlation coefficient among the normal ventricular premature beats, and the judging method and the flow are shown in figure 7: judging whether the number of the correlation coefficients of each normal ventricular premature beat and other normal ventricular premature beats, which is less than 0.6, is greater than 2/3 of the number of the other normal ventricular premature beats, if so, the normal ventricular premature beat is determined to be a noise signal; if the result is negative, determining the ventricular premature beat as a normal ventricular premature beat;
the ventricular premature beat mutual detection judges whether the normal heart beat has a missed ventricular premature beat according to the correlation coefficient of the normal heart beat and the ventricular premature beat, and the judging method and the flow are shown as the following steps: judging whether the number of correlation coefficients of each normal heartbeat and the ventricular premature beats is larger than 2/3 of the number of the ventricular premature beats or not, if so, determining the normal heartbeat as the ventricular premature beats; if the result is negative, determining the heart beat as normal;
therefore, after judgment and monitoring are finished, only simple preprocessing is needed to be carried out on the algorithm, simple characteristic parameters such as the R wave position, the RR interphase, the average RR interphase, the R wave amplitude value, the QRS wave width and the R wave correlation coefficient are extracted, and then ventricular premature beats and supraventricular premature beats are judged by integrating the characteristic parameters.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited by the foregoing examples, which are provided to illustrate the principles of the invention, and that various changes and modifications may be made without departing from the spirit and scope of the invention, which is also intended to be covered by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. The real-time monitoring method based on the premature beat signal in the wearable electrocardiosignal is characterized by comprising the following steps:
s1, reading electrocardiosignals: reading 10 seconds of electrocardiosignals for monitoring, wherein the 10 seconds of electrocardiosignals consist of the current 2 seconds of electrocardiosignals and the previous 8 seconds of electrocardiosignals;
s2, preprocessing the electrocardiosignal;
s3, extracting electrocardiosignal characteristic parameters: extracting characteristic parameters of the heart beat to be detected from the electrocardiosignals preprocessed in the step S2, wherein the characteristic parameters comprise the R wave position of the heart beat to be detected in the 10-second electrocardiosignals, the RR intervals of all the heart beats to be detected, the RR interval mean value of the 10-second electrocardiosignals, the R wave amplitude of all the heart beats to be detected, the R wave amplitude mean value of the 10-second electrocardiosignals, the QRS wave width of all the heart beats to be detected, the QRS wave width mean value of the 10-second electrocardiosignals, the R wave correlation coefficients of all the heart beats to be detected and the R wave correlation number mean value of the 10-second electrocardiosignals;
s4, judging the premature beat: if the previous RR interval of each heart beat to be detected is smaller than the RR interval mean value of the 10-second electrocardiosignal, the next RR interval of the heart beat to be detected is larger than the RR interval mean value of the 10-second electrocardiosignal, and the sum of the previous RR interval of each heart beat to be detected and the next RR interval of the heart beat to be detected is less than or equal to twice the RR interval mean value of the 10-second electrocardiosignal, the result is yes, and the step S5 is continued; otherwise, judging whether the result is negative, wherein the signal is normal heartbeat;
s5, judging ventricular premature beat: judging whether the quasi-premature beat screened in the step S4 is a ventricular premature beat or not according to the R wave correlation coefficient, the QRS wave width and the R wave amplitude of the beat to be measured, if not, screening out a non-ventricular premature beat, and continuing to the step S6; if yes, the signal is ventricular premature beat, the ventricular premature beat comprises normal ventricular premature beat, insertion ventricular premature beat and continuous ventricular premature beat, the judgment methods of the three beats are different, and if one result is yes, the result of the step S5 is yes;
s6, judging the supraventricular premature beat: judging whether the ventricular premature beat is the supraventricular premature beat or not according to the R wave correlation coefficient of the non-ventricular premature beat screened in the step S5 and the R wave correlation number average value of the 10-second electrocardiosignal, and if so, continuing to perform the step S7; if not, the signal is normal heartbeat; wherein the supraventricular premature beat comprises a normal supraventricular premature beat and a continuous supraventricular premature beat,
the method for judging the normal supraventricular premature beat comprises the following steps: whether the R wave phase relation number of the screened non-ventricular premature beat is more than 80% of the mean value of the R wave phase relation number of the 10-second electrocardiosignal or not;
the method for judging the continuous supraventricular premature beat comprises the following steps: whether the RR interval of the heart beat to be detected before the current normal supraventricular premature beat is smaller than the RR interval mean value of the 10-second electrocardiosignal and is between 80% and 120% of the RR interval of the current normal supraventricular premature beat;
when one of the judgment of the normal supraventricular premature beat and the judgment of the continuous supraventricular premature beat is yes, the step S6 is yes;
s7, checking the premature beat and the heart beat: the premature beat check comprises supraventricular premature beat self-check, normal ventricular premature beat self-check and ventricular premature beat mutual-check, and is used for judging whether the supraventricular premature beat has a false-check ventricular premature beat, whether the normal ventricular premature beat has a false-check noise signal and whether the normal ventricular premature beat has a missed-check ventricular premature beat;
the self-checking method for the supraventricular premature beat comprises the following steps: if the number of the correlation coefficients between each supraventricular premature beat and all other supraventricular premature beats, which is less than 0.6, is greater than 2/3 of the number of the other supraventricular premature beats, determining the supraventricular premature beat as a normal ventricular premature beat; otherwise, determining the heart beat as the supraventricular premature beat;
the self-checking method for the normal ventricular premature beat comprises the following steps: if the number of the correlation coefficients of each normal ventricular premature beat and other normal ventricular premature beats, which is less than 0.6, is greater than 2/3 of the number of the other normal ventricular premature beats, determining the normal ventricular premature beat as a noise signal; otherwise, determining the ventricular premature beat as a normal ventricular premature beat;
the mutual ventricular premature beat inspection method comprises the following steps: if the number of correlation coefficients of each normal heartbeat and the ventricular premature beats, which is greater than 0.9, is greater than 2/3 of the ventricular premature beats, determining the normal heartbeat as the ventricular premature beat; otherwise, it is normal heartbeat.
2. The real-time monitoring method of premature beat signal based on wearable electrocardiosignal as claimed in claim 1, wherein the judgment method of normal ventricular premature beat is as follows: if the correlation number of the R wave of each quasi-premature beat is smaller than the mean value of the correlation numbers of the R wave of the 10-second electrocardiosignals, the QRS wave width of each quasi-premature beat is larger than the mean value of the QRS wave width of the 10-second electrocardiosignals, and the R wave amplitude of each quasi-premature beat deviates from the mean value of the R wave amplitude of the 10-second electrocardiosignals, the result is yes; otherwise, the result is no, and the signal is non-ventricular premature beat.
3. The real-time monitoring method of premature beat signal based on wearable electrocardiosignal as claimed in claim 2, wherein the judgment method of the inserted ventricular premature beat is as follows: if the sum of the previous RR interval of each heart beat to be detected and the next RR interval of each heart beat to be detected is 80-120% of the mean value of the RR intervals of the 10-second electrocardiosignals, and the R wave phase relation number of the heart beat to be detected is less than the mean value of the R wave phase relation numbers of the 10-second electrocardiosignals, the result is yes; otherwise, the result is no, and the signal is normal heartbeat.
4. The real-time monitoring device based on the premature beat signal in the wearable electrocardiosignal is characterized in that the real-time monitoring device applies the real-time monitoring method based on the premature beat signal in the wearable electrocardiosignal as claimed in claim 1, the real-time monitoring device comprises a wearable electrocardiosignal detection module and a real-time premature beat detection module,
the wearable electrocardiosignal detection module comprises a dry electrode unit for signal sensing, a signal detection unit for signal processing and a communication module unit for real-time communication;
the real-time premature beat detection module comprises an electrocardiosignal reading unit for reading signals, an electrocardiosignal preprocessing unit for preprocessing signals, an electrocardiosignal characteristic extraction unit for extracting signal characteristics, a premature beat detection unit for detecting the premature beat, a ventricular premature beat detection unit for detecting the ventricular premature beat, a supraventricular premature beat detection unit for detecting the supraventricular premature beat and a premature beat verification unit for verifying the ventricular premature beat and the supraventricular premature beat;
the electrocardiosignal feature extraction unit extracts the feature parameters of the heart beat to be detected, and parameter calculation comparison is carried out sequentially by the quasi-premature beat heart beat detection unit, the ventricular premature beat detection unit, the supraventricular premature beat detection unit and the premature beat calibration unit, so that the monitoring and classification of the electrocardiosignals are realized.
5. The wearable real-time monitoring device for the premature beat signal in the electrocardiosignal according to claim 4, wherein the wearable electrocardiosignal detection module is connected with the real-time premature beat detection module in a wired or wireless way, and the real-time premature beat monitoring module is arranged in an internal system of the wearable electrocardiosignal detection module; or the wearable electrocardiosignal monitoring module is separated and is positioned in an external mobile platform.
6. The real-time monitoring device for the premature beat signal in the wearable electrocardiosignal as claimed in claim 4 or 5, wherein the number and the layout of the dry electrode units are not unique, so that the monitoring devices with different leads are formed.
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