CN107928660A - A kind of health early warning system based on electrocardiogram - Google Patents
A kind of health early warning system based on electrocardiogram Download PDFInfo
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- CN107928660A CN107928660A CN201711009277.0A CN201711009277A CN107928660A CN 107928660 A CN107928660 A CN 107928660A CN 201711009277 A CN201711009277 A CN 201711009277A CN 107928660 A CN107928660 A CN 107928660A
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- 238000005314 correlation function Methods 0.000 claims description 18
- 230000036541 health Effects 0.000 claims description 16
- 238000005311 autocorrelation function Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 230000033001 locomotion Effects 0.000 claims description 4
- 230000006872 improvement Effects 0.000 description 7
- 208000003734 Supraventricular Tachycardia Diseases 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 230000033764 rhythmic process Effects 0.000 description 2
- 206010061216 Infarction Diseases 0.000 description 1
- 208000001871 Tachycardia Diseases 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000037237 body shape Effects 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- 230000007574 infarction Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000001314 paroxysmal effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000006794 tachycardia Effects 0.000 description 1
- 230000000213 tachycardiac effect Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
- A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
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- Computer Vision & Pattern Recognition (AREA)
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
A kind of health early warning system based on electrocardiogram of the present invention, including electrocardiogram collecting unit, alarm unit and data processing unit, the electrocardiogram collecting unit and the alarm unit are connected with the data processing unit electric signal；Electrocardiogram collecting unit, for gathering the electrocardiogram of user in normal state, and for gathering the heart real time figure of user；Data processing unit, for obtaining the averaged electrocardiogram under normal condition according to the electrocardiogram under the normal condition, and for establishing the cross-correlation function of the heart real time figure according to the averaged electrocardiogram, and for judging the physical condition of user according to the cross-correlation function；Alarm unit, for alarming when user's body abnormal state.The present invention judges the physical condition of user using cross-correlation function it is more accurate to judge.
Description
Technical field
The present invention relates to medical early warning technology field, especially a kind of health early warning system based on electrocardiogram.
Background technology
Electrocardiogram is a kind of bioelectrical activity of the transthoracic record heart in units of the time, and passes through the electricity on skin
The Clinics that pole catches and records.The advantages of this recording mode is noninvasive, but since ECG is a kind of physiological electricity
Signal, is usually utilized to as diagnostic criteria.
Slight cardiac and tachycardic patient, often occur short time paroxysmal rhythm abnormality, if
Examination in hospital cannot be sent in the disease hair time, hospital cannot timely check the unusual condition of patient body, so as to
Cause the delay of the state of an illness.Supraventricular tachycardia, if supraventricular tachycardia is a kind of tachycardia of Severe distortion, occurs frequency
Phenomena such as rate is higher, and the room of being likely to result in quivers, dies suddenly, so, the detection to supraventricular tachycardia is unusual weight
Want.
Medically having at present can be in the case where not being in hospital, the special instrument of 24 hour record patient's rhythms of the heart.But should
Instrument price is expensive, and market price reaches ten thousand yuan, and can only record patient 24 it is small when electrocardiogram, and be to be passed through by doctor with instrument
Sell the software that business provides and carry out in vitro analysis, and the analysis of automation cannot be made their own by machine.Although can really it remember
Electrocardiogram during record morbidity, but cannot carry out early warning when morbidity, allow patient to go to hospital to see a doctor as soon as possible.
A kind of accordingly, it is desirable to provide health early warning system based on electrocardiogram.
The content of the invention
The present invention provides a kind of health early warning system based on electrocardiogram, it is intended to overcomes existing electrocardiographic recorder instrument can not
Automatic decision user's body state and the present situation alarmed.
Present invention employs following technical measures：
A kind of health early warning system based on electrocardiogram, including electrocardiogram collecting unit, alarm unit and data processing list
Member, the electrocardiogram collecting unit and the alarm unit are connected with the data processing unit electric signal；
Electrocardiogram collecting unit, for gathering the electrocardiogram of user in normal state, and for gathering the reality of user
When electrocardiogram；
Data processing unit, for obtaining the average electro-cardiologic under normal condition according to the electrocardiogram under the normal condition
Figure, and for establishing the cross-correlation function of the heart real time figure according to the averaged electrocardiogram, and for according to described mutual
Correlation function judges the physical condition of user；
Alarm unit, for alarming when user's body abnormal state.
As a further improvement, the cross-correlation function is：R_XY (t1, t2)=X (t1) * Y (t2), in formula, t1 is institute
Any time in averaged electrocardiogram is stated, t2 is any time in the heart real time figure, and X (t1) is the average heart at t1 moment
Electrograph function, Y (t2) are the heart real time figure function at t2 moment, and R_XY (t1, t2) is establishes institute according to the averaged electrocardiogram
The cross-correlation function of heart real time figure is stated, * is convolution algorithm symbol.
As a further improvement, further comprise User Status collecting unit, it is described for judging the current state of user
Current state includes motion state and inactive state；The data processing unit is further used for according to the cross-correlation function
And the current state of user judges the physical condition of user.
As a further improvement, the data processing unit includes rectification module, the rectification module is used for according to daily
Averaged electrocardiogram deviation, by auto-correlation function calculate auto-correlation coefficient, and using the auto-correlation coefficient adjustment use
In the averaged electrocardiogram for calculating cross-correlation coefficient.
As a further improvement, the auto-correlation function is：R_XX (t1, t2)=X (t1) * X (t2), in formula, t1 is institute
Any time in averaged electrocardiogram is stated, t2 is any time for being different from the t1 moment in the averaged electrocardiogram, and X (t1) is t1
The averaged electrocardiogram function at moment, X (t2) are the averaged electrocardiogram function at t2 moment, and R_XX (t1, t2) is to be put down according to daily
The auto-correlation coefficient that the deviation of equal electrocardiogram calculates, * is convolution algorithm symbol.
As a further improvement, further comprising high in the clouds storage element, the high in the clouds storage element is every for storing user
It ECG data.
As a further improvement, having reserved number in the alarm unit, automatically will when user's body abnormal state
Warning message is sent to the reserved number and alarms.
Compared with prior art, the present invention has the following advantages：
1st, a kind of health early warning system based on electrocardiogram of the present invention is automatic using cross-correlation function combination averaged electrocardiogram
The physical condition of user is judged, accuracy rate is high, and can alarm when user's body is not in good state.
2nd, a kind of health early warning system based on electrocardiogram of the present invention combines daily average electro-cardiologic using auto-correlation function
The deviation of figure makes judgement of the system to user's body state to being corrected for the averaged electrocardiogram for calculating cross-correlation coefficient
Accuracy greatly improves, and avoids the influence of random error.
Brief description of the drawings
Attached drawing 1 is a kind of system composition schematic diagram of the health early warning system based on electrocardiogram of the present invention.
Embodiment
To make the purpose, technical scheme and advantage of embodiment of the present invention clearer, implement below in conjunction with the present invention
Attached drawing in mode, is clearly and completely described the technical solution in embodiment of the present invention, it is clear that described reality
The mode of applying is a part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, ability
The every other embodiment that domain those of ordinary skill is obtained without creative efforts, belongs to the present invention
The scope of protection.Therefore, below the detailed description of the embodiments of the present invention to providing in the accompanying drawings be not intended to limit will
The scope of the present invention of protection is sought, but is merely representative of the selected embodiment of the present invention.Based on the embodiment in the present invention,
The every other embodiment that those of ordinary skill in the art are obtained without creative efforts, belongs to this
Invent the scope of protection.
In the description of the present invention, it is to be understood that the orientation or position relationship of the instruction such as term " on ", " under " are base
In orientation shown in the drawings or position relationship, description description of the invention and simplified, rather than instruction or hint are for only for ease of
Signified equipment or element must have specific orientation, with specific azimuth configuration and operation, therefore it is not intended that to this
The limitation of invention.
In addition, term " first ", " second " are only used for description purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity for indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can be expressed or
Implicitly include one or more this feature.In the description of the present invention, " multiple " are meant that two or more,
Unless otherwise specifically defined.
In the present invention, unless otherwise clearly defined and limited, term " installation ", " connected ", " connection ", " fixation " etc.
Term should be interpreted broadly, for example, it may be fixedly connected or be detachably connected, or integrally；Can be that machinery connects
Connect or be electrically connected；It can be directly connected, can also be indirectly connected by intermediary, can be in two elements
The connection in portion or the interaction relationship of two elements.For the ordinary skill in the art, can be according to specific feelings
Condition understands the concrete meaning of above-mentioned term in the present invention.
The present invention is described in further detail with embodiment below in conjunction with the accompanying drawings：
Please refer to Fig.1, in embodiment, a kind of health early warning system based on electrocardiogram, including electrocardiogram collecting unit, report
Alert unit and data processing unit, the electrocardiogram collecting unit and the alarm unit with the data processing unit telecommunications
Number connection.Unit can pass through electric signal transfer data information and control information etc. to each other.
Electrocardiogram collecting unit, the electrocardiogram collecting unit can be that cardioscribe collector may also be large-scale medical
Electrocardiogram collector, can make choice according to actual conditions.
The electrocardiogram collecting unit is used to gather the electrocardiogram of user in normal state, and for gathering user's
Heart real time figure.And the ECG data collected is transferred to data processing unit and carries out processing analysis.
Data processing unit, can be that portable intelligent device may also be other equipment that can carry out data storage analysis.With
In obtaining the averaged electrocardiogram under normal condition according to the electrocardiogram under the normal condition, and for according to the average electro-cardiologic
Figure establishes the cross-correlation function of the heart real time figure, and for judging the body shape of user according to the cross-correlation function
State.
Concretely comprising the following steps for averaged electrocardiogram is obtained, under user's normal condition, it is identical to continuously acquire the time several times
Some ECG informations of acquisition are carried out algorithm superposition and averaged, to obtain being averaged under normal condition by electrocardiogram
Electrocardiogram.The cross-correlation function of the heart real time figure is established according to the averaged electrocardiogram under obtained normal condition, will be mutual
Function is closed compared with the level threshold value that inside is set, to judge the physical condition of user, judges that the fast accuracy of speed is high.
Alarm unit, for alarming when user's body abnormal state, reminds user to be handled in time.
In the present embodiment, the cross-correlation function is：R_XY (t1, t2)=X (t1) * Y (t2), in formula, t1 is described flat
Any time in equal electrocardiogram, t2 are any time in the heart real time figure, and X (t1) is the averaged electrocardiogram at t1 moment
Function, Y (t2) are the heart real time figure function at t2 moment, and R_XY (t1, t2) is to establish the reality according to the averaged electrocardiogram
When electrocardiogram cross-correlation function, * is convolution algorithm symbol.Using the function founding mathematical models and to user's body state into
Row judges that accuracy rate is high, avoids judging by accident.
In the present embodiment, User Status collecting unit is further provided with, for judging according to the heart real time figure collected
The current state of user, the current state include motion state and inactive state；The data processing unit is further used
In the physical condition that user is judged according to the current state of the cross-correlation function and user.
The level threshold value of storage includes first threshold and second threshold in the data processing unit, when user is in movement
During state, by the cross-correlation function compared with the first threshold, to judge the physical condition of user；When user is in
During inactive state, by the cross-correlation function compared with the second threshold, to judge the physical condition of user.User institute
Place's state is different, its electrocardiogram also has larger difference, the judgement of physical condition is carried out by different threshold values, can make judgement
As a result it is more accurate.
In the present embodiment, the data processing unit includes rectification module, and the rectification module is used to be put down according to daily
The deviation of equal electrocardiogram, auto-correlation coefficient is calculated by auto-correlation function, and using auto-correlation coefficient adjustment based on
Calculate the averaged electrocardiogram of cross-correlation coefficient.
The daily physical condition of user all can be different, its electrocardiogram can also occur to change accordingly, that is to say, that meeting
Some random errors are produced, these random errors can impact averaged electrocardiogram at that time.Brought to eliminate random error
Influence, in the present embodiment, the auto-correlation function of averaged electrocardiogram is established according to the deviation of daily averaged electrocardiogram, to adjust
The whole averaged electrocardiogram for being used to calculate cross-correlation coefficient, strengthens the reliability of final judging result.
In the present embodiment, the auto-correlation function is：R_XX (t1, t2)=X (t1) * X (t2), in formula, t1 is described flat
Any time in equal electrocardiogram, t2 are any time for being different from the t1 moment in the averaged electrocardiogram, and X (t1) is the t1 moment
Averaged electrocardiogram function, X (t2) is the averaged electrocardiogram function at t2 moment, and R_XX (t1, t2) is according to the daily average heart
The auto-correlation coefficient that the deviation of electrograph calculates, * are convolution algorithm symbol.Using the function founding mathematical models and to user
Physical condition is judged that accuracy rate is high, highly reliable.
In the present embodiment, further comprise high in the clouds storage element, it is daily that the high in the clouds storage element is used to storing user
ECG data.User can be by inquiring about ECG data daily in the past, to carry out the Inspection and analysis of physical condition.Meanwhile
It during user's body abnormal state, can also be traced by inquiring about data, help is provided for the judgement of the state of an illness.
In the present embodiment, there is reserved number in the alarm unit, automatically will alarm when user's body abnormal state
Information is sent to the reserved number and alarms.It is oneself to carry out in time when such as heart infarction emergency situations occur for user
Save oneself, at this time, alarm unit can send alarm as reserved number, so that user is timely helped, avoid the state of an illness from being delayed.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God and any modification, equivalent substitution, improvement and etc. within principle, done, should be included within the scope of protection of the invention.
Claims (7)
1. a kind of health early warning system based on electrocardiogram, it is characterised in that including electrocardiogram collecting unit, alarm unit sum number
According to processing unit, the electrocardiogram collecting unit and the alarm unit are connected with the data processing unit electric signal；
Electrocardiogram collecting unit, for gathering the electrocardiogram of user in normal state, and for gathering the real-time heart of user
Electrograph；
Data processing unit, for obtaining the averaged electrocardiogram under normal condition according to the electrocardiogram under the normal condition, and
For establishing the cross-correlation function of the heart real time figure according to the averaged electrocardiogram, and for according to the cross-correlation letter
Number judges the physical condition of user；
Alarm unit, for alarming when user's body abnormal state.
2. health early warning system according to claim 1, it is characterised in that the cross-correlation function is：R_XY(t1,t2)
=X (t1) * Y (t2), in formula, t1 is any time in the averaged electrocardiogram, and t2 is any in the heart real time figure
Moment, X (t1) be the t1 moment averaged electrocardiogram function, Y (t2) be the t2 moment heart real time figure function, R_XY (t1, t2)
To establish the cross-correlation function of the heart real time figure according to the averaged electrocardiogram, * is convolution algorithm symbol.
3. health early warning system according to claim 1, it is characterised in that further comprise User Status collecting unit,
For judging the current state of user, the current state includes motion state and inactive state；The data processing unit
It is further used for judging according to the current state of the cross-correlation function and user the physical condition of user.
4. health early warning system according to claim 1, it is characterised in that the data processing unit includes correction mould
Block, the rectification module are used for the deviation according to daily averaged electrocardiogram, and auto-correlation coefficient is calculated by auto-correlation function,
And the averaged electrocardiogram for being used to calculate cross-correlation coefficient using auto-correlation coefficient adjustment.
5. health early warning system according to claim 4, it is characterised in that the auto-correlation function is：R_XX(t1,t2)
=X (t1) * X (t2), in formula, t1 is any time in the averaged electrocardiogram, and t2 is is different from the averaged electrocardiogram
Any time at t1 moment, X (t1) are the averaged electrocardiogram function at t1 moment, and X (t2) is the averaged electrocardiogram function at t2 moment,
R_XX (t1, t2) is the auto-correlation coefficient calculated according to the deviation of daily averaged electrocardiogram, and * is convolution algorithm symbol.
6. health early warning system according to claim 1, it is characterised in that further comprise high in the clouds storage element, it is described
High in the clouds storage element is used to store the daily ECG data of user.
7. health early warning system according to claim 1, it is characterised in that there is reserved number in the alarm unit,
Warning message is sent to the reserved number automatically when user's body abnormal state to alarm.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109662689A (en) * | 2019-03-07 | 2019-04-23 | 姜炜炜 | A kind of health early warning system of the hospital based on electrocardiogram |
| CN109875549A (en) * | 2019-03-28 | 2019-06-14 | 吕金兰 | A kind of healthy early warning method based on electrocardiogram |
| CN114403890A (en) * | 2021-12-20 | 2022-04-29 | 北京远盟普惠健康科技有限公司 | Electrocardiogram detection and sudden-prevention device convenient to use for clinical diagnosis |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1189320A (en) * | 1997-01-31 | 1998-08-05 | 惠普公司 | Method and system for fast determination of EKG waveform morphology |
| CN1289579A (en) * | 2000-11-03 | 2001-04-04 | 曲直 | Method and equipment for quantitatively diagnosing myocardial infarction by computer and electrocardiogram |
| US20040092835A1 (en) * | 2002-08-27 | 2004-05-13 | Pioneer Corporation | Apparatus and method for analyzing heart-rate variability based on electrocardiogram information |
| US20100298661A1 (en) * | 2009-05-20 | 2010-11-25 | Triage Wireless, Inc. | Method for generating alarms/alerts based on a patient's posture and vital signs |
| CN102488512A (en) * | 2011-12-06 | 2012-06-13 | 中国科学院苏州纳米技术与纳米仿生研究所 | Automatic alarm system for electrocatdiogram monitoring and alarm method thereof |
| CN106357888A (en) * | 2016-08-26 | 2017-01-25 | 成都汉康信息产业有限公司 | Electrocardiogram monitoring service system based on smart phone |
-
2017
- 2017-10-25 CN CN201711009277.0A patent/CN107928660B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1189320A (en) * | 1997-01-31 | 1998-08-05 | 惠普公司 | Method and system for fast determination of EKG waveform morphology |
| CN1289579A (en) * | 2000-11-03 | 2001-04-04 | 曲直 | Method and equipment for quantitatively diagnosing myocardial infarction by computer and electrocardiogram |
| US20040092835A1 (en) * | 2002-08-27 | 2004-05-13 | Pioneer Corporation | Apparatus and method for analyzing heart-rate variability based on electrocardiogram information |
| US20100298661A1 (en) * | 2009-05-20 | 2010-11-25 | Triage Wireless, Inc. | Method for generating alarms/alerts based on a patient's posture and vital signs |
| CN102488512A (en) * | 2011-12-06 | 2012-06-13 | 中国科学院苏州纳米技术与纳米仿生研究所 | Automatic alarm system for electrocatdiogram monitoring and alarm method thereof |
| CN106357888A (en) * | 2016-08-26 | 2017-01-25 | 成都汉康信息产业有限公司 | Electrocardiogram monitoring service system based on smart phone |
Non-Patent Citations (1)
| Title |
|---|
| 刘培森: "《应用傅里叶变换》", 31 December 1990, 北京理工大学出版社 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109662689A (en) * | 2019-03-07 | 2019-04-23 | 姜炜炜 | A kind of health early warning system of the hospital based on electrocardiogram |
| CN109662689B (en) * | 2019-03-07 | 2021-07-27 | 姜炜炜 | A hospital health early warning system based on electrocardiogram |
| CN109875549A (en) * | 2019-03-28 | 2019-06-14 | 吕金兰 | A kind of healthy early warning method based on electrocardiogram |
| CN114403890A (en) * | 2021-12-20 | 2022-04-29 | 北京远盟普惠健康科技有限公司 | Electrocardiogram detection and sudden-prevention device convenient to use for clinical diagnosis |
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| CN107928660B (en) | 2022-07-26 |
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