CN107928660A - A kind of health early warning system based on electrocardiogram - Google Patents

A kind of health early warning system based on electrocardiogram Download PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
electrocardiogram
user
averaged
early warning
warning system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201711009277.0A
Other languages
Chinese (zh)
Other versions
CN107928660B (en
Inventor
李扬汉
杨顺福
郭宏清
曾宪威
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Yunyue Culture Media Co ltd
Original Assignee
Xiamen Chuan Core Health Science & Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xiamen Chuan Core Health Science & Technology Co Ltd filed Critical Xiamen Chuan Core Health Science & Technology Co Ltd
Priority to CN201711009277.0A priority Critical patent/CN107928660B/en
Publication of CN107928660A publication Critical patent/CN107928660A/en
Application granted granted Critical
Publication of CN107928660B publication Critical patent/CN107928660B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/746Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/7465Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services

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

A kind of health early warning system based on electrocardiogram
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.
CN201711009277.0A 2017-10-25 2017-10-25 Health early warning system based on electrocardiogram Active CN107928660B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711009277.0A CN107928660B (en) 2017-10-25 2017-10-25 Health early warning system based on electrocardiogram

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711009277.0A CN107928660B (en) 2017-10-25 2017-10-25 Health early warning system based on electrocardiogram

Publications (2)

Publication Number Publication Date
CN107928660A true CN107928660A (en) 2018-04-20
CN107928660B CN107928660B (en) 2022-07-26

Family

ID=61936502

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711009277.0A Active CN107928660B (en) 2017-10-25 2017-10-25 Health early warning system based on electrocardiogram

Country Status (1)

Country Link
CN (1) CN107928660B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (6)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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 Health early warning system based on electrocardiogram for hospital
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

Also Published As

Publication number Publication date
CN107928660B (en) 2022-07-26

Similar Documents

Publication Publication Date Title
US11517212B2 (en) Electrocardiogram information dynamic monitoring method and dynamic monitoring system
Wen et al. Real-time ECG telemonitoring system design with mobile phone platform
US7343197B2 (en) Multi-scale analysis and representation of physiological and health data
Fensli et al. A wearable ECG-recording system for continuous arrhythmia monitoring in a wireless tele-home-care situation
CN110353656A (en) A kind of wearable ECG monitor system and its monitoring method based on cloud framework
Shaown et al. IoT-based portable ECG monitoring system for smart healthcare
EP2733632A2 (en) Apparatus and methods for remote disease management
US20060276716A1 (en) Atrial fibrillation detection method and apparatus
EP1284645A2 (en) System and device for multi-scale analysis and representation of electrocardiographic data
CN102802517A (en) Identification of culprit coronary artery using anatomically oriented ECG data from extended lead set
CN101828914B (en) Bus type electrocardio-lead and intelligent electrocardio-signal sensor
JP2011509114A (en) System, method and apparatus for predicting sudden cardiac death risk
CN108523879A (en) A kind of electrocardiogram detection system and detection method
CN204336910U (en) A kind of extendible health remote logging, monitoring and diagnostic system
CN107928660A (en) A kind of health early warning system based on electrocardiogram
CN108403110A (en) A kind of real-time atrial fibrillation automatic detection system and its detection method based on wearable device
Leutheuser et al. Instantaneous P-and T-wave detection: Assessment of three ECG fiducial points detection algorithms
CN110200620A (en) Multi-modal cardiac data detection method, device, storage medium and terminal device
CN203138481U (en) Remote electrocardiograph monitoring system based on wireless technology
Sannino et al. An evolved ehealth monitoring system for a nuclear medicine department
CN116072310A (en) Intelligent edge computing system applied to medical health service
CN201638350U (en) Automatic alarm for cardiac monitoring out of hospital
EP3949850A1 (en) Mobile electrocardiography recording device
Shen et al. An ear-lead ECG based smart sensor system with voice biofeedback for daily activity monitoring
Rocha et al. Wearable computing for patients with coronary diseases: Gathering efforts by comparing methods

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20221010

Address after: A0694, 1st Floor, Building 2, Yard 66, Yanfu Road, Fangshan District, Beijing 100000

Patentee after: Beijing Yunyue Culture Media Co.,Ltd.

Address before: 361006 unit 705-707, 7th floor, hongyihua group headquarters complex, No. 386 Qishan Road, Huli high tech park, Huli District, Xiamen City, Fujian Province

Patentee before: XIAMEN CHUANXIN HEALTH TECHNOLOGY CO.,LTD.

TR01 Transfer of patent right