CN107374614A - The automatic classification storage control method of electrocardiogram and system - Google Patents
The automatic classification storage control method of electrocardiogram and system Download PDFInfo
- 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
Links
Classifications
-
- 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]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
-
- 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
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
-
- 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
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; 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
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.
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)
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)
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 |
-
2017
- 2017-07-25 CN CN201710614003.8A patent/CN107374614A/en active Pending
Patent Citations (9)
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)
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 |