CN202027572U - Dynamic recording and analyzing device for electrocardiogram and movement - Google Patents
Dynamic recording and analyzing device for electrocardiogram and movement Download PDFInfo
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- CN202027572U CN202027572U CN2011200216915U CN201120021691U CN202027572U CN 202027572 U CN202027572 U CN 202027572U CN 2011200216915 U CN2011200216915 U CN 2011200216915U CN 201120021691 U CN201120021691 U CN 201120021691U CN 202027572 U CN202027572 U CN 202027572U
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Abstract
The utility model discloses a dynamic recording and analyzing device for electrocardiogram and movement, and is used for automatically detection of movement of a user and electrocardiogram analysis when the user is moving. The dynamic recording and analyzing device comprises an electrocardiogram and movement sensor unit, a data acquisition, storage and transmission unit, and an analysis and software unit. The electrode of a movement sensor and the electrode of an electrocardiogram sensor can be encapsulated together or used separately. According to the device, the daily physical movements and the corresponding movement intensity of the user are recorded and automatically detected; the electrocardiogram is automatically analyzed; the heart rate variability under the different movement intensity is analyzed, and changes of the heart rate variability along with movement types, movement intensity and time are analyzed; and the method about the changes of the heart rate and the electrocardiogram wave forms along with the movement intensity and lasting time is analyzed. Corresponding marks are provided if the abnormity in the electrocardiogram or in the movements is detected, and all corresponding original signals and analysis results then are stored, thereby warning the user, the family and medical care personnel.
Description
Technical field
This utility model belongs to physiology, body parameter field tests, and the ECG signal that is specifically related to write down with the daily dynamic context height correlation of user writes down and analytical equipment.
Background technology
For the abnormal physiology signal that is difficult to catch by instrument short time monitoring, the doctor need a kind of can long-time continuous record physiological parameter and the equipment of correlation behavior.In addition; heart abnormality incidents such as arrhythmia not only have sporadic; and often only follow certain SA of user to take place in daily life; and it is rare under the static environment of hospital; but therefore be badly in need of a kind of non-volatile recording physiological feature, and write down the armarium of user daily routines simultaneously.Holter is as a kind of dynamic electrocardiographic recording system, successive ECG signal in record user 24-48 hour, and write down the action message of user by the mode of user hand-kept.The doctor can check that the heart abnormality incident of user is with the potential heart disease of diagnosis user by playback and analysis software.
Each organ of human body is interactional, the activity of heart is one and constantly with autonomic nervous system (Autonomic Nervous System ANS) controls and human motion system dynamics reciprocal process ECG signal and measured's Activity Type, activity intensity and mood height correlation.A lot of heart abnormality incidents often occur under transformation of user Activity Type or the enhanced sight of activity intensity, and traditional Holter just writes down single ECG signal, and require the user record activity description on the same day.The activity inventory of user is difficult to and the electrocardiogram registration, and user record often has subjectivity and fuzzy factors, worse situation be have in addition can not record, or forget record.Like this, under a lot of sights, the doctor can't determine the specific situation of user generation arrhythmic events, thereby can't provide diagnosis accurately.On the other hand, movable information itself also is a kind of important health indicator of human body.Increase detection, classification and the tolerance of movable information, will provide more Useful Information for doctor's diagnosis undoubtedly.For example, dyskinesia obviously lacks motion, and the electrocardiogram under the various kinestates changes, etc.
For recording ecg in daily life and relevant activity and mood, many corresponding work and invention are arranged.For example: the invention 20090299207 that the U.S. announces is the Electrocardiographic microsystems of a kind of people of obtaining.5036856 of United States Patent (USP)s are a kind of equipment that detects electrocardiogram, activity mood.Record movable and the mood signal can carry out respectively with the ECG signal record of Holter, and then these three kinds of signal corrections, or the record of these three kinds of signals is present in the equipment simultaneously.The invention " dynamic cardiograph with human motion state and posture detection function " that China announces, application number 200910232292.0 is similar with United States Patent (USP) 5036856 fully, has also proposed to detect to move and attitude signal.
The invention of above-mentioned patent or announcement, when only having proposed detection and recording ecg, detected activity and mood signal, they have proposed to write down the structure of the cardinal principle of the circuit of these signals and recording equipment, do not propose to detect the placement location of pick off on human body of these signals, do not have to propose the method how these signals being handled and analyzed yet, more not have proposition how to be correlated with, to merge and to analyze the method for these signals.That is to say that because the state and the disease of heart will be studied and diagnose to the activity of heart by finishing alternately with autonomic nervous system, motor system, people are record and analysis of cardiac, motion and mood simultaneously.Reach this target, four important process arranged: 1) with what pick off, be placed on which position of health; 2) composition of recording equipment; 3) electrocardiogram, motion and mood Signal Processing and analysis.Here, different pick offs are provided with and will require different analytical methods.4) fusion of multiple sensors data and information and analytical method.This is that this armarium is moved towards key in application.More than these inventions and patent, only related to the 2nd point in above-mentioned 4, do not relate to other even more important 3 point.
Chinese patent 200710119869.8 " a kind of dynamic monitoring system of body sign " has related to above-mentioned 4 importances all sidedly, and when having proposed real-time monitoring human electrocardiogram and other physiologic information, monitoring is the theory of " sight " at that time.And defined three aspects of " sight ", i.e. motion, environment and psychology have proposed to have the basic skills of sight multi-sensor information fusion, and from monitoring equipment to the server system framework that medical services are provided.But this patent is not specifically related to for the analysis-by-synthesis how to carry out under the motion sight based on above-mentioned information.
Summary of the invention
The technical problems to be solved in the utility model has provided a kind ofly can be used to write down and analyze the user ECG signal, simultaneously automatically detect user daily routines type and intensity and provide electrocardiogram and the Apparatus and system of motion convergence analysis.
For addressing the above problem, the dynamic electrocardiogram that the utility model proposes and motion record and analytical equipment, comprise electrocardiogram and motion sensor unit 100, data are obtained, storage and transmission unit 200, it is characterized in that: also comprise analysis software unit 300, wherein said electrocardiogram and motion sensor unit 100 comprise electrocardiography transducer electrode 101 and motion sensor 102.
It is further characterized in that: the electrocardiography transducer electrode 101 of described electrocardiogram and motion sensor unit 100 is golden, silver, paster, conductive fabric; The motion sensor 102 of described electrocardiogram and motion sensor unit 100 is velometer, gyroscope, magnetometer, pedometer, myoelectric sensor.
Further described dynamic electrocardiogram and motion record and analytical equipment is characterized in that: described electrocardiography transducer electrode 101 is packaged together with described motion sensor 102; Electrocardiography transducer electrode 101 ECG electrode position placement routinely also can be put placement on demand; Motion sensor 102 placement locations can be on trunk and two thighs, two shanks.
Further described dynamic electrocardiogram and motion record and analytical equipment, it is characterized in that: described analytical method and software unit 300 comprise analysis-by-synthesis module 303 and analysis report module 304 under the automatic analysis module 301 of electrocardio, classification of motions and intensity analysis module 302, the movable sight.
Further described dynamic electrocardiogram and motion record and analytical equipment, it is characterized in that: the automatic analysis module 301 of described electrocardio is used for the ECG signal denoising and goes baseline drift to handle, the detection of QRS waveform configuration, detect typical cardiac electrical figure wavelets such as ST section, p ripple, T ripple, and ventricular premature contraction detects automatically.
Further described dynamic electrocardiogram and motion record and analytical system, it is characterized in that: described classification of motions and intensity analysis module 302 have been considered the characteristic of human motion forward-backward correlation, are used for human body and lie, stand up, sit, lie down, stand up, stand, sit down, walk, run 9 kinds of the most common activities and carry out high-precision classification of motions.
Further described dynamic electrocardiogram and motion record and analytical equipment, it is characterized in that: analysis-by-synthesis module 303 has been considered the heart rate variability analysis under the motion sight under the described movable sight, and corresponding tolerance, be used for diagnosis, and heart rate and electrocardiogram form mutation analysis under the motion sight, also be used for monitoring, optimization and the abnormality early warning of aerobatic exercise.
Further described dynamic electrocardiogram and motion record and analytical equipment, it is characterized in that: analysis software unit 300 is used for data read, electrocardiogram is checked, playback and automatically analyzing, and human motion context information analysis of cardiac state is indicated and combined to heart rate calculating, arrhythmia analysis, heart rate variability analysis, myocardial ischemia analysis, human motion classification with intensity.
Further described dynamic electrocardiogram and motion record and analytical equipment, it is characterized in that: described analytical method and software unit 300 pass through radio communication, obtain, obtain signal storage and the transmission unit 200 from described data in real time, detected electrocardiogram and exercise data are carried out real-time analysis, realize real-time monitoring, analysis, early warning and the suggestion of user's cardiac system.
Compared with prior art, the beneficial effects of the utility model are that this utility model is in pick off setting and method of wearing, classification of motions and analysis, and be that the first-class aspect of ecg analysis of condition has realized innovation with the motion, produced " dynamic electrocardiogram and motion record and analytical equipment " thus or claimed " Holter of new generation ".Have specifically following some:
(1). pick off setting and wearing mode are flexible, motion sensor and electrocardiography transducer electrode can be packaged together, also can use separately, electrocardiography transducer electrode ECG electrode position is routinely placed and also can be placed on right omoplate, and single group motion sensor placement location can be on trunk and two thighs, two shanks.
(2). considered the characteristic of human motion forward-backward correlation, 9 kinds of the most common activities are lain, stand up, sit, lie down, stand up, stand, sit down, walk, run to human body carry out high-precision classification of motions.
(3). increase the heart rate variability analysis of having considered under the motion sight, and corresponding tolerance, can directly apply to diagnosis.
(4) comprise heart rate and electrocardiogram form mutation analysis under the motion sight, can be used for monitoring, optimization and the abnormality early warning of aerobatic exercise.
Description of drawings
Fig. 1 is a logic block-diagram of the present utility model.Wherein, 100 is electrocardiogram and motion sensor unit, 200 for data are obtained, storage and transmission unit, 300 is the analysis software unit, 301 is the automatic analysis module of electrocardiogram in 300,302 is classification of motions and exercise intensity estimation module, and 303 is the analysis-by-synthesis module based on the motion sight, and 304 are assessment and reporting modules.
Fig. 2 is the wearing position figure of the electrocardioelectrode among the embodiment of the present utility model.Wherein 101 is the electrocardioelectrode pick off, and 102 is motion sensors such as acceleration transducer, and 210 is belt.
Fig. 3 is the wearing position figure of the electrocardioelectrode among another embodiment of the present utility model.Wherein 101 is electrocardioelectrode, and 102 is motion sensors such as acceleration transducer, and 210 is belt.
The specific embodiment
Below in conjunction with the drawings and specific embodiments this utility model is described further.
Fig. 2 shows the figure that wears of the analytical system that is used for writing down in daily life ambulatory electrocardiogram signal and motor message.The dynamic electrocardiographic recording device comprises the plural ECG electrode pick off that is connected to body surface such as electrode 101, is attached to the motion sensor 102 at least one electrocardioelectrode 101, data are obtained, storage and transmission unit 200 and convenience long-time dress wear 210.Here, three ECG electrode are placed in respectively as the chest locations among the figure, lead with V1 and the V4 that measures routine electrocardiogram.Wherein right omoplate position is a reference point.ECG electrode is used conventional electrode slice, and is attached to corresponding position.Human body attitude and motion often show on the orientation and motion of trunk.Therefore, we attached on the V1 electrode, can measure the orientation and the motion of trunk to motion sensor.For small-sized, in light weight, should dress, motion sensor is encapsulated with electrocardioelectrode, so that convenient and be attached to the front securely.At this moment, data are obtained, storage and transmission unit 200 usefulness belts 210 hang over the front, also can hang on one's waist.
Fig. 3 illustrates and is used for writing down in daily life the another kind of structure of ambulatory electrocardiogram signal and motor message and wears figure.Leading with V1 and two of V5 among the figure is example, and electrocardioelectrode is respectively attached to the V1 and the V5 position of front, and right omoplate reference point locations.Here, motion sensor be placed on directly that data are obtained, among storage and the transmission unit 200.In order to make the orientation and the motion of motion sensor energy measurement trunk, obtain, storage and transmission unit 200 with a convenience long-time dress wear 210 bundles in the front.
Structure shown in Fig. 2 and Fig. 3 shows V1 and two situations of leading of V5.According to the structure of routine electrocardiogram electrode position, we can realize 1 to 12 structure of leading fully as required easily.
Fig. 2 and Fig. 3 show a motion sensor respectively and are attached to the front with ECG electrode, with motion sensor is put into data are obtained, among storage and the transmission unit 200 bundle in the two kinds of structures and the method for front, gather the orientation and the motion of trunk, thus derivation human motion type and exercise intensity.Motion sensor also can be positioned over other position of trunk, or is positioned on the head.Also can place many group motion sensors simultaneously in the different position of health, derive human motion type and intensity jointly.For the human motion of deriving, motion sensor be placed with following several form:
1) single group motion sensor is positioned on trunk or the head.If place trunk, use the orientation of measuring, then can derive the various attitudes of human body, as sitting, lie, walk, run, fall etc.Use the dynamic change level of motion sensor, can derive some parameter of human motion, as exercise intensity, the step of walking and running frequently.
2) many group motion sensors can be placed on respectively on trunk, two thighs, or place motion sensor on trunk and two thighs, two shanks and two feet.From the movable information that measures, derive various attitudes of human body and gait.Because information is more complete, the attitude kind of deriving is many, and is also more accurate.
3) carry out above-mentioned classification of motions and exercise intensity and estimate that used motion sensor 102 can use the accelerometer or the gyroscope of single kind, also can use accelerometer and gyroscope simultaneously, also can use accelerometer, gyroscope and magnetometer simultaneously.Sometimes, also use pedometer, myoelectric sensor or the like.
In an embodiment of the present utility model, motion sensor 102 is the small-sized integrated accelerometers of micro electronmechanical (MEMS).It is attached to the front with 1 electrode in Fig. 2, be placed in Fig. 3 that data are obtained, be worn on the front among storage and the transmission unit 200.This pick off can be responded to acceleration and the terrestrial gravitation acceleration that human motion produces simultaneously, and is that the signal of telecommunication transfers to analog-digital converter to convert numerical data read and detected user for analysis software type of sports and level of activation to induced conversion of signals.
Data among Fig. 2 are obtained, storage and transmission unit 200 hang over the user chest,, data are obtained, storage and transmission unit 200 also can be worn other positions at human body according to actual needs.
In practical application of the present utility model, can adopt multiple ECG signal acquisition electrode pick off, as golden, silver, paster, conductive fabric, etc., be connected with human body in several ways.1 to the 12 electrocardiogram parameter of leading is write down according to the ecg measurement standard in the position that connects.
Electrocardiogram and motion analysis software unit 300 are present in the master computer, as the main frame of common dynamic ecg.At this moment, electrocardiogram and motion analysis software unit 300 read in all data of 24-48 hour record by the USB standard interface, carry out batch processing and analysis, produce examining report.
Electrocardiogram and motion analysis software unit 300 also can pass through wireless transmission method, from data obtain, storage and transmission unit 200 constantly obtain data, handle in real time and analyze.Detect possible unusually, report to the police to me, family members or doctor.
Electrocardiogram and motion analysis software unit 300 comprise the automatic analysis module 301 of electrocardiogram, classification of motions and metric module 302, analysis-by-synthesis module 303, assessment and report generation module 304.
The automatic analysis module 301 of electrocardiogram at first carries out denoising to ECG signal and goes baseline drift to handle.Carry out the detection of QRS waveform configuration thereafter.Thus, obtained heart rate.Based on the QRS wave structure, further detect typical cardiac electrical figure wavelets such as ST section, p ripple, T ripple, the form of electrocardiographic wave is analyzed.Thereby detect unusual waveforms such as lifting and move down on premature beat, the ST section.The ventricular premature contraction automatic testing method has been proposed.Ventricular premature contraction has distinct feature as the unusual a kind of performance of cardiac function, and for example the QRS width increases, and the R wave amplitude increases, RR interval shortening etc.The ventricular premature contraction automatic testing method that the present invention proposes has adopted the method for template matching and Feature Fusion simultaneously, and this method has very high accuracy and practical value through evidence.
After classification of motions and intensity module 302 obtain motion sensor data, at first use the FIR low pass filter will from the three-dimensional accelerometer data, separate acceleration of gravity and the movable acceleration of measured; With three kinds of features measured's activity intensity is described respectively, body posture and transition activity, these features are respectively the signal amplitude area, the angle of accelerometer axes and gravity direction and accumulated change amount; Make up Activity Type temporal correlation model, show as transition diagram between type, 9 kinds of the most common activities are lain, stand up, sit, lie down, stand up, stand, sit down, walk, run to human body adopt the state-transition structure, and carry out activity classification by probabilistic decision model and make a strategic decision, to obtain high classification of motions precision.Exercise intensity shows as the fluctuation of motion sensor data.The tolerance that the degree of fluctuation and frequency are exercise intensity.
Electrocardio analysis-by-synthesis module 303 comprises the novel heart rate variability tolerance of having considered the motion sight under the motion sight, can directly apply to monitoring and early warning as diseases such as myocardial ischemia.Carrying out heart rate variability analysis under the motion sight may further comprise the steps:
1) ECG is handled, obtain QRS ripple position;
2) calculate (Normal to Normal) NN intervening sequence;
3) go baseline to handle to the NN intervening sequence; Go singular value to handle to the NN intervening sequence;
4) type of sports and exercise intensity are calculated;
5) according to type of sports and exercise intensity the NN intervening sequence is carried out segmentation, the different motion type, the data of different motion intensity are classified as a class;
6) the NN intervening sequence being carried out above time and frequency domain and other HRV indexs calculates;
7) the HRV index of calculating is added with the reference value of kinestate and intensity indication
Analysis-by-synthesis module (303) also comprises heart rate and electrocardiogram form variation monitoring method under the motion sight under the motion sight, situation of change different with exercise intensity according to type of sports and ECG waveform and heart rate defines various quantitative evaluation indexs and reference value, and these indexs comprise heart rate, ST section waveform, QT length, the QRS width tolerance based on exercise intensity.These indexs have reflected centre of motion vascular system state, to optimizing motion exercise and training effect, detection arrhythmia, preventing exercise related sudden death significant.
Evaluation module 304 is assessed many-sided index and scene according to application requirements.For example, when finding to founder, can oneself get up, have or not and follow electrocardiographic abnormality, etc., all be the emphasis of comprehensive assessment.Again for example, heart rate variability (HRV) is assessed in the variation of the time interval of some months even several years.If heart rate variability diminishes suddenly, may indicate certain disease.
Report generation module 305 according to ambulatory electrocardiogram diagnosis requirement, generates report.Report content comprises: the major parameter of electrocardiogram and motion, and typical waveform and parameter, unusual waveforms testing result and typical abnormal data, heart rate variability, the electrocardiogram parameter is with the change curve of exercise intensity and statistical data etc.
According to an aspect of the present utility model, an one exemplary embodiment is the method and system that is used to write down and analyze user electrocardiogram and motion sight.1 to 12 ECG signal of leading of this system log (SYSLOG) user, also can write down blood oxygen saturation, breathing, blood pressure, etc. physiological parameter.
According to an embodiment of this aspect of this utility model, dynamic electrocardiographic recording and analytical system comprise the pick off of response user's body type of sports and intensity, the pick off of for example inertia such as accelerometer, gyroscope induction installation, or the induction musculation signal of telecommunication.
Data read that analysis software is integrated, electrocardiogram is checked, playback and automatically analyzing, and functions such as human motion context information analysis of cardiac state are indicated and combined in heart rate calculating, arrhythmia analysis, heart rate variability analysis, myocardial ischemia analysis, human motion classification with intensity.Dynamic electrocardiogram record of new generation of the present utility model is suitable with current medical Holter with analytical system electrocardiogram performance, and has motion sight record and the analytic function that Holter does not possess.For detecting ND arrhythmia of conventional ECG and myocardial ischemia etc., for the clinical analysis state of an illness, establishment diagnosis, judgement curative effect provide objective basis.
Analysis software is by forming as lower module: data typing module, data processing module, statistical module, Reports Administration module, reporting printing module and display module.Each functions of modules is as follows:
1. data typing module: can be from the memory element of monitor such as SD card the electrocardiogram and the acceleration information of reading and saving, and be stored in the computer memory device according to the form of software definition.
2. data processing module: date processing comprises electrocardiogram pretreatment, arrhythmia analysis, ST piecewise analysis, heart rate variability (HRV) analysis and kinestate and intensity analysis.What each was handled and analyzed thes contents are as follows:
2.1 electrocardiogram pretreatment.Comprise Electrocardiographic denoising and R ripple position probing.
2.2 arrhythmia analysis.To the pretreated ECG signal arrhythmia analysis of process, comprise that minimum heart rate, maximum heart rate, average heart rate, the detection of chamber sexual abnormality and number of times statistics, premature ventricular beat detect, the chamber sexual abnormality is added up in pairs, bunchiness chamber sexual abnormality is added up, ventricular tachycardia detects, supraventricular tachycardia detects, supraventricular bradycardia detects, detection etc. stops fighting.Wherein, being used to differentiate ARR index and thresholding can be provided with.
2.3 ST piecewise analysis.Detect carry out the S-T section through pretreated ECG signal, and according to the index that is provided with, differentiation S-T section is raised and is reduced.Do the myocardial ischemia analysis to assist.
2.4 HRV analyzes.According to the R ripple testing result among the electrocardiogram pretreatment result, do heart rate variability analysis, comprise the analysis at daytime, night and based on the analysis result of the heart rate variability of motion sight.
2.5 kinestate and intensity analysis.The acceleration information that the data read module reads in is analyzed, and identification user's kinestate calculates exercise intensity, identification dyskinesia (as falling down), and the paces frequency in the calculating walking and the process of running.
3. statistical module: the result to the data processing module carries out statistical analysis, and the statistical content in the software system comprises:
3.1 arrhythmia divides a hour statistics: the unusual number of times to the heart beating number of times in each hour, arrhythmia detection is added up.
3.2 heart rate-kinestate contrast statistics: added up average heart rate, chamber sexual abnormality and the frequency under each kinestate, supraventricular unusual frequency, the heart rate of reaching with the situation of change of kinestate, the change statistics of kinestate etc.
3.3 S-T section statistics: S-T raises or the number of times that reduces, time of origin, highly, the persistent period, during heart rate etc., and S-T section height is with the variation of exercise intensity etc.
3.4 band statistics: be maintained in detected abnormal data and the position of artificial mark and signal at that time in the date processing, be referred to as band, can be for user's inquiry.
4. Reports Administration module: in data base and file system, administer and maintain user profile, report information etc.
5. display module: with the interface of user interactions, comprise Reports Administration interface, data read and processing guide, respectively add up the interface, signal/band is checked and editing interface, print management interface etc.
6 print modules: make the user say that check result prints to paper document by normal printer, conveniently to file and to carry by printer.Have in printable: report essential information, arrhythmia divide hour statistical information, S-T section to raise/reduce statistics, HRV statistics, movement statistics and band.
The use step of this software system is summarized as follows:
1) collection the is finished monitor of data is connected to computer by the usb data line.
2) from monitor, read and deal with data by the New Report guide of software system, comprising:
A) select data file to be processed and have an electro-cardiogram pretreatment and kinestate and intensity detection;
B) be provided with or select to give tacit consent to the arrhythmia parameter, do arrhythmia detection;
C) benchmark of selection S-T piecewise analysis from original electrocardiographicdigital figure signal is provided with or the selection default parameters, does the S-T section and detects;
D) behind the statistical analysis, finish electrocardiogram and handle, and generate report.
3) promptly generate once complete report after finishing.In this step, can check result, can make amendment and manual calibration, can report by selective printing, can fill in diagnosis etc. result.
Claims (3)
1. a dynamic electrocardiogram writes down and analytical equipment with motion, comprise electrocardiogram and motion sensor unit (100), data are obtained, storage and transmission unit (200), it is characterized in that: also comprise analysis software unit (300), wherein said electrocardiogram and motion sensor unit (100) comprise electrocardiography transducer electrode (101) and motion sensor (102).
2. dynamic electrocardiogram according to claim 1 and motion record and analytical equipment is characterized in that: the electrocardiography transducer electrode (101) of described electrocardiogram and motion sensor unit (100) is golden, silver, paster, conductive fabric; The motion sensor (102) of described electrocardiogram and motion sensor unit (100) is velometer, gyroscope, magnetometer, pedometer, myoelectric sensor.
3. dynamic electrocardiogram according to claim 1 and 2 and motion record and analytical equipment, it is characterized in that: described electrocardiography transducer electrode (101) is packaged together with described motion sensor (102); Electrocardiography transducer electrode (101) ECG electrode position placement routinely also can be put placement on demand; Motion sensor (102) placement location is on trunk and two thighs, two shanks.
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| CN105726016A (en) * | 2016-02-02 | 2016-07-06 | 深圳市理邦精密仪器股份有限公司 | Electrocardiogram data output method and device |
| CN107260178A (en) * | 2013-01-15 | 2017-10-20 | 飞比特公司 | Portable monitoring device and its operating method |
| CN107590358A (en) * | 2017-07-24 | 2018-01-16 | 深圳市沃特沃德股份有限公司 | Exercise guidance method and apparatus |
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