CN107374614A - The automatic classification storage control method of electrocardiogram and system - Google Patents

The automatic classification storage control method of electrocardiogram and system Download PDF

Info

Publication number
CN107374614A
CN107374614A CN201710614003.8A CN201710614003A CN107374614A CN 107374614 A CN107374614 A CN 107374614A CN 201710614003 A CN201710614003 A CN 201710614003A CN 107374614 A CN107374614 A CN 107374614A
Authority
CN
China
Prior art keywords
electrocardiogram
data
ecg
electrocardiograph
server
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.)
Pending
Application number
CN201710614003.8A
Other languages
Chinese (zh)
Inventor
何史杉
蔡宝龙
王利
邢青涛
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.)
Hainan Shaped Science And Technology Innovation Research Institute Co Ltd
Original Assignee
Hainan Shaped Science And Technology Innovation Research Institute 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 Hainan Shaped Science And Technology Innovation Research Institute Co Ltd filed Critical Hainan Shaped Science And Technology Innovation Research Institute Co Ltd
Priority to CN201710614003.8A priority Critical patent/CN107374614A/en
Publication of CN107374614A publication Critical patent/CN107374614A/en
Pending legal-status Critical Current

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
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006ECG or EEG signals
    • 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
    • A61B5/7225Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
    • 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
    • A61B5/725Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02Preprocessing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Physiology (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Psychiatry (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Power Engineering (AREA)
  • Cardiology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses automatic the classification storage control method and system of a kind of electrocardiogram, it is mainly used in the automatic identification of patient identity and matching in electrocardiogram gatherer process, including electrocardiograph and the server that is deployed in internet.The electrocardiograph includes electrocardiogram signal acquisition circuit, electrocardiosignal amplifying circuit, Filtering of ECG Signal circuit, the central control chip and network communication module with analog conversion function;The server being deployed in internet has data receiver, ecg characteristics extraction, and the contrast search of characteristic matching degree judges, data storage function;The automatic classification storage control method of electrocardiogram and system of the present invention can reduce the typing of the essential information before data, match history electrocardiogram (ECG) data simultaneously, greatly reduce the workload of clinician, can be in some in emergency circumstances quick calling history electrocardiogram (ECG) datas, doctor is facilitated quickly to judge, suitable for clinical application.

Description

The automatic classification storage control method of electrocardiogram and system
Technical field
The present invention relates to electrocardiograph control field, can automatically transmit/store by network more particularly to one kind and from Dynamic identification electrocardiosignal method and system.
Background technology
Electrocardiogram (ECG) can measure the myocardial electrical signals of human body, so as to judge heart and cardiovascular health status, mesh Before have been widely used among the clinical diagnosis of cardiovascular related diseases, have data accurate, easy to use, cheap etc. Advantage.Common electrocardiograph mainly has offline versions and network version on Vehicles Collected from Market.Wherein offline versions are recorded It is stored in the machine and supports printing function, it is highly difficult once needing to call more data.Though the electrocardiograph of online version So there is network transmission function, can by the electrocardiosignal of this collection by network transmission to server specified location, but often Secondary is before patient has an electro-cardiogram, and is required for inputting patient's name or ID number transfers archives in historical data base and establishes association.One When a large amount of bear the same name occurs in denier, it will cause to be difficult to the situation for matching patient information.In addition, particularly in the environment of house, patient When carrying out self-monitoring using some wearable cardioelectric monitor equipment, input personal information repeatedly can cause the dislike of patient Wasted with the time.As can be seen here, above-mentioned existing electrocardiograph is in use, it is clear that inconvenience and defect have been still suffered from, and Urgently it is further improved.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of automatic classification storage control of electrocardiogram convenient to use Method and system.
In order to solve the above technical problems, the present invention adopts the following technical scheme that:
Automatic the classification storage control method and system of electrocardiogram, including electrocardiograph and the service that is deployed in internet Device.The electrocardiograph include electrocardiogram signal acquisition circuit, electrocardiosignal amplifying circuit, Filtering of ECG Signal circuit, have number The central control chip and network communication module of mould translation function;There are the server being deployed in internet data to connect Receive, ecg characteristics extraction, the contrast search of characteristic matching degree judges, the function such as data storage.
Further, electrocardiograph is placed in network coverage, electrocardiograph is able to access that to be placed in internet and serviced Device, the amplification to electrocardiosignal and filtering process are completed by hardware circuit, converted by central processing unit completion digital-to-analogue and form numeral Signal, gathered electrocardiogram (ECG) data is automatically sent to server end by network communication module, by received server-side electrocardiogram (ECG) data, Preposition processing software extracts the feature of the electrocardiogram (ECG) data.
Further, when Data Matching degree is higher than threshold value, the data is defined as and are belonged under the files on each of customers, and establish pass Connection is stored.
Further, when Data Matching does not find the signal higher than threshold value, filled in the requirement of electrocardiograph feedback signal User profile, and this special data is established into a new Profile.
The invention has the advantages that after ecg information is gathered, network transmission can be carried out automatically, and in background service With historical data accurately identify and match in device, then enter this new information adding in historical data.
Brief description of the drawings
Above-mentioned is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, below With reference to accompanying drawing, the present invention is described in further detail with embodiment.
Fig. 1 is the flow chart of the automatic classification storage control method of electrocardiogram of the present invention and system;
Fig. 2 is that the automatic classification storage control method of electrocardiogram of the present invention and system further illustrate.
Fig. 3 is the automatic classification storage control method of electrocardiogram of the present invention and system logic judgement figure.
Embodiment
Reference picture 1, the automatic classification storage control method of electrocardiogram provided by the present invention, comprises the following steps:
S1 completes ecg signal acquiring on electrocardiograph and carries out network transmission;
This electrocardiosignal feature of S2 server matches and feedback result;
S3 electrocardiographs improve files on each of customers and show result according to feedback result.
Reference picture 2, the S1's concretely comprises the following steps, and gathers patient's electrocardiosignal by induction electrode and its circuit, passes through Signal amplifier is amplified to electrocardiosignal in circuit, and electrocardiosignal is filtered by driven-right-leg circuit in circuit, The digital-to-analogue conversion completed by central processing unit to electrocardiosignal filters with algorithm, is sent electrocardiogram (ECG) data to service by WIFI module Device;Step contained by the S2 includes K1 detections, K2 options, K3 detections.The ecg information that the K1 detections are obtained Whether the feature of this electrocardiosignal is successfully extracted, corresponding examination criteria is, failing to this electrocardiosignal is successfully extracted, Then define this electrocardiosignal uploaded and belong to abnormal electrocardiogram signal, and enter K2 options;The K2 options is used for anti- Present electrocardiographic abnormality situation and electrocardiograph chooses whether to retain this data, lookup or newly-built archives if selecting to retain Stored, if selection does not retain, show empty user profile and this testing result;The K3 detections are used to judge institute Whether the ecg characteristics of acquisition belong to existing Characteristics of electrocardiogram, by the way that realization is compared with database, if uniformity is high In threshold value, then it is assumed that this electrocardiosignal and seek electrocardiosignal belongs to same patient, and then store and foundation associates therewith, If can not seek uniformity be higher than threshold value feature, newly-built archives are stored, and prompt electrocardiograph to improve newly-built archives Associated with manual foundation;
Reference picture 3, this embodiment K1 detections, K2 options, the logical relation of K3 detections is as follows successively, i.e., first Judge whether successfully to extract the feature of this electrocardiosignal, extract the feature of this electrocardiosignal if failing, feed back the heart Electrograph is abnormal, if successfully extracting this electrocardiosignal feature, its feature is compared with feature in database;In the feedback heart After electrograph exception, by choosing whether to preserve this detection on electrocardiograph, it is, newly-built archives are stored and prompt electrocardiogram Machine improves newly-built archives or establishes association manually, otherwise shows user profile and this ECG results;To its feature and number Contrasted according to feature in storehouse, when similarity occur and being higher than threshold value, established with existing feature and associate and stored, when not When appearance similarity is higher than threshold value, newly-built archives are stored, and are prompted electrocardiograph to improve newly-built archives or establish manually and closed Connection.

Claims (4)

1. the automatic classification storage method and system of electrocardiogram, it is characterised in that including electrocardiograph and be deployed in internet Server;The electrocardiograph includes electrocardiogram signal acquisition circuit, electrocardiosignal amplifying circuit, Filtering of ECG Signal circuit, tool There are the central control chip and network communication module of analog conversion function;
The server being deployed in internet has data receiver, ecg characteristics extraction, and the contrast search of characteristic matching degree is sentenced It is disconnected, data storage function.
2. the automatic classification storage method and system of electrocardiogram according to claim 1, it is characterised in that electrocardiograph can Access is placed in server in internet, the amplification to electrocardiosignal and filtering process is completed by hardware circuit, by central processing unit Complete digital-to-analogue to convert to form data signal, gathered electrocardiogram (ECG) data is automatically sent to server end by network communication module, by Received server-side electrocardiogram (ECG) data, preposition processing software extract the feature of the electrocardiogram (ECG) data.
3. the automatic classification storage method and system of electrocardiogram according to claim 1, it is characterised in that when Data Matching degree During higher than threshold value, it is defined as the data and belongs under the files on each of customers, and establish association and stored.
4. the automatic classification storage method and system of electrocardiogram according to claim 1, it is characterised in that when Data Matching not When finding the signal higher than threshold value, user profile is filled in the requirement of electrocardiograph feedback signal, and this special data is established one Individual new Profile.
CN201710614003.8A 2017-07-25 2017-07-25 The automatic classification storage control method of electrocardiogram and system Pending CN107374614A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710614003.8A CN107374614A (en) 2017-07-25 2017-07-25 The automatic classification storage control method of electrocardiogram and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710614003.8A CN107374614A (en) 2017-07-25 2017-07-25 The automatic classification storage control method of electrocardiogram and system

Publications (1)

Publication Number Publication Date
CN107374614A true CN107374614A (en) 2017-11-24

Family

ID=60336077

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710614003.8A Pending CN107374614A (en) 2017-07-25 2017-07-25 The automatic classification storage control method of electrocardiogram and system

Country Status (1)

Country Link
CN (1) CN107374614A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109431487A (en) * 2018-09-28 2019-03-08 上海优加利健康管理有限公司 The recognition methods of room property heartbeat typical data in electrocardiogram dynamic real-time analysis data

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070276270A1 (en) * 2006-05-24 2007-11-29 Bao Tran Mesh network stroke monitoring appliance
US20090220921A1 (en) * 2008-03-03 2009-09-03 Sonitus Medical, Inc. Systems and methods to provide communication and monitoring of user status
CN201353142Y (en) * 2008-12-31 2009-12-02 浙江大学城市学院 WLAN real time cardiogram transmitting detecting system
CN102274029A (en) * 2011-05-25 2011-12-14 中国科学院深圳先进技术研究院 Identity recognition method and system
CN102793532A (en) * 2011-05-27 2012-11-28 纬创资通股份有限公司 Physiological signal measuring device with identification function and method thereof
CN105468951A (en) * 2015-11-17 2016-04-06 安徽华米信息科技有限公司 Method and device for identity recognition through electrocardiographic feature and wearable device
CN105595997A (en) * 2016-03-10 2016-05-25 西安科技大学 Driving fatigue electroencephalogram monitoring method based on stepped fatigue determination
CN105989271A (en) * 2015-03-17 2016-10-05 松下知识产权经营株式会社 Personal authentication apparatus and personal authentication method
CN106778685A (en) * 2017-01-12 2017-05-31 司马大大(北京)智能系统有限公司 Electrocardiogram image-recognizing method, device and service terminal

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070276270A1 (en) * 2006-05-24 2007-11-29 Bao Tran Mesh network stroke monitoring appliance
US20090220921A1 (en) * 2008-03-03 2009-09-03 Sonitus Medical, Inc. Systems and methods to provide communication and monitoring of user status
CN201353142Y (en) * 2008-12-31 2009-12-02 浙江大学城市学院 WLAN real time cardiogram transmitting detecting system
CN102274029A (en) * 2011-05-25 2011-12-14 中国科学院深圳先进技术研究院 Identity recognition method and system
CN102793532A (en) * 2011-05-27 2012-11-28 纬创资通股份有限公司 Physiological signal measuring device with identification function and method thereof
CN105989271A (en) * 2015-03-17 2016-10-05 松下知识产权经营株式会社 Personal authentication apparatus and personal authentication method
CN105468951A (en) * 2015-11-17 2016-04-06 安徽华米信息科技有限公司 Method and device for identity recognition through electrocardiographic feature and wearable device
CN105595997A (en) * 2016-03-10 2016-05-25 西安科技大学 Driving fatigue electroencephalogram monitoring method based on stepped fatigue determination
CN106778685A (en) * 2017-01-12 2017-05-31 司马大大(北京)智能系统有限公司 Electrocardiogram image-recognizing method, device and service terminal

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109431487A (en) * 2018-09-28 2019-03-08 上海优加利健康管理有限公司 The recognition methods of room property heartbeat typical data in electrocardiogram dynamic real-time analysis data
CN109431487B (en) * 2018-09-28 2021-11-16 上海乐普云智科技股份有限公司 Method for identifying typical data of ventricular heart beat in electrocardiogram dynamic real-time analysis data

Similar Documents

Publication Publication Date Title
CN210167123U (en) Screening system for fundus image lesions
CN103825958B (en) Telemedicine consultant information system and information access method thereof
US8046060B2 (en) Differentiating arrhythmic events having different origins
US11051740B2 (en) System and method for rapid ECG acquisition
CN110827994B (en) Myocardial infarction early warning method, device and equipment and storage medium
CN103908244A (en) ECG lead wrong connection judging method and device
CN109674464B (en) Multi-lead electrocardiosignal composite feature extraction method and corresponding monitoring system
CN109044340B (en) Electrocardiogram data classification method and device, electronic equipment and storage medium
US11426113B2 (en) System and method for the prediction of atrial fibrillation (AF)
CN104572858B (en) A kind of data matching method between electrocardiograph and electro cardio signal workstation and system
CN107374614A (en) The automatic classification storage control method of electrocardiogram and system
CN107212879A (en) A kind of electrocardiosignal monitoring system
Srinivas et al. Adaptive learning based heartbeat classification
CN108968950A (en) A kind of digitlization electrocardiogram acquisition method, apparatus and system
CN110811608A (en) Atrial fibrillation monitoring method based on ECG (ECG) signals
CN106709237A (en) Method for operating pathological monitoring and diagnosis systems
US20110295134A1 (en) Method For ECG Screening
CN110811597B (en) Electrocardiogram recording method, electrocardiogram recorder, electrocardiogram recording device and electrocardiogram recording medium
CN105520729A (en) Electrocardiogram information collecting and managing system with information distribution function
CN105708444A (en) Electrocardio information collecting and processing method
Choudhary et al. Multibranch 1D CNN for detection and localization of myocardial infarction from 12 lead electrocardiogram signal
CN110968717A (en) Dynamic electrocardiogram data retrieval method and device, storage medium and processor
CN106859633A (en) Mobile ecg telemonitoring early warning system
CN211243353U (en) Remote detector for electrocardiogram monitor
CN108926345B (en) CNN neural network-based automatic determination system for acute myocardial infarction timing period

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
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20171124