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CN109303557A - A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio - Google Patents

A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio Download PDF

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Publication number
CN109303557A
CN109303557A CN201811227150.0A CN201811227150A CN109303557A CN 109303557 A CN109303557 A CN 109303557A CN 201811227150 A CN201811227150 A CN 201811227150A CN 109303557 A CN109303557 A CN 109303557A
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CN
China
Prior art keywords
doctor
data
electrocardio
alpha
shafts
Prior art date
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Pending
Application number
CN201811227150.0A
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Chinese (zh)
Inventor
刘春梅
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Shenzhen Meilin Medical Equipment Technology Co Ltd
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Shenzhen Meilin Medical Equipment Technology Co Ltd
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Priority to CN201811227150.0A priority Critical patent/CN109303557A/en
Publication of CN109303557A publication Critical patent/CN109303557A/en
Pending legal-status Critical Current

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    • 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
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems

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

Abstract

The invention discloses a kind of automatic diagnosing machinery people of Alpha's shafts electrocardio, the following steps are included: doctor's collection terminal obtains patient ECG's data, and data are assigned to idle cardiac diagnosis server, cardiac diagnosis server is the automatic diagnosing machinery people of Alpha's shafts electrocardio, is a kind of server for diagnosing electrocardiogram (ECG) data;Cardiac diagnosis server analysis data are classified.The automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio of the present invention, first, the workload of doctor can preferably be reduced, more fully utilize human resources, secondly, the network structure of P2P can preferably coordinate the workload of each server, the accumulation of data to be analyzed can be effectively reduced in this way, to improve analysis efficiency, finally, all data audits are completed in identical platform, such doctor trans-regional can be audited abnormal electrocardiographic pattern, to share partial region analysis review doctor's pressure, better prospect of the application is brought.

Description

A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio
Technical field
The present invention relates to the automatic diagnostic platform field of electrocardio, in particular to a kind of automatic diagnosing machinery of Alpha's shafts electrocardio People.
Background technique
Electrocardiogram is to record the variation figure of electrical activity caused by heart each cardiac cycle from body surface using electrocardiograph Technology, electrocardiogram is the best way of measurement and diagnosis abnormal heart rhythms, when being that diagnosis electrocardio conductive tissue is impaired The allorhythmia of heart and due to electrolyte balance imbalance caused by cardiac rhythm change;
The automatic diagnostic platform of electrocardio at this stage mostly be to send the data of acquisition to given server, audit doctor into Row manual analysis signs and issues filing according to process after the completion of analysis, although this mode realizes the remote diagnosis of electrocardiogram report, But according to used its data volume of frontal region domain can unusual unshapeliness, which results in the serious wastes of doctor's resource, and in institute In the data of upload, the overwhelming majority is normal data, and time and efforts needed for analyzing these normal datas is also to limited Doctor's resource causes burden, to cause to waste.
Summary of the invention
The main purpose of the present invention is to provide a kind of automatic diagnosing machinery people of Alpha's shafts electrocardio, can effectively solve to carry on the back The problems in scape technology.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio, comprising the following steps:
(1), doctor's collection terminal obtains patient ECG's data, and data are assigned to idle cardiac diagnosis server;
(2), cardiac diagnosis server analysis data are classified, at the same by abnormal data be transmitted to audit doctor backstage with Monitor server in real time;
(3), real time monitoring server reminds corresponding doctor to diagnose by doctor's wechat;
(4), doctor receives data and audits, and sends doctor's collection terminal for diagnostic result after audit, and by curing Teacher's collection terminal is sent to corresponding doctor.
Preferably, in the step (1), it is one that cardiac diagnosis server, which is the automatic diagnosing machinery people of Alpha's shafts electrocardio, The server of kind diagnosis electrocardiogram (ECG) data.
Preferably, can classification in the step (2) identify point according to the automatic diagnosing machinery people of Alpha's shafts electrocardio Class cannot identify to be abnormal data, can identify to be normal data, and normal data is transmitted directly to doctor's collection terminal.
Preferably, it in the step (2), is communicated between cardiac diagnosis server using P2P network.
Preferably, in the step (3), real time monitoring server use between P2P network and cardiac diagnosis server into Row communication, real time monitoring server is monitored the data mode of transmission, by storing doctor's account data.
Preferably, in the step (3), real time monitoring server includes that doctor audits platform, and doctor is audited by doctor Platform is registered, while doctor's auditing result is transferred to doctor's collection terminal by collection terminal doctor.
Preferably, in the step (4), the data that doctor receives are that the automatic diagnosing machinery people of Alpha's shafts electrocardio gives Tentative diagnosis data and cardiac diagnosis data, the tentative diagnosis that doctor gives according to the automatic diagnosing machinery people of Alpha's shafts electrocardio Data are modified.
Compared with prior art, the invention has the following beneficial effects:
1, the automatic diagnosing machinery people of Alpha's shafts electrocardio can automatically process and sign and issue the data of normal ECG, in this way can be with Reduce by 70% ecg analysis amount;And the conclusion that the automatic diagnosing machinery people of Alpha's shafts electrocardio provides abnormal electrocardiographic pattern, it can To give the audit necessary guidance of doctor, 20% or so analysis review process can simplify in this way;And it needs by doctor's manual analysis The data of audit are just only left 10% or so, greatly reduce the work load of doctor in this way;
2, the network structure of P2P can preferably coordinate the workload of each server, can effectively reduce in this way to The accumulation for analyzing data, to improve analysis efficiency;
3, all data audit is completed in identical platform, and such doctor can be trans-regional to abnormal electrocardiographic pattern It is audited, to share partial region analysis review doctor's pressure.
Detailed description of the invention
Fig. 1 is a kind of overall structure flow chart of the automatic diagnosing machinery people of Alpha's shafts electrocardio of the present invention.
Specific embodiment
To be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, below with reference to Specific embodiment, the present invention is further explained.
Embodiment 1
The automatic diagnostic platform of traditional electrocardio is mostly to send the data of acquisition to given server, and audit doctor is carrying out Manual analysis signs and issues filing according to process after the completion of analysis, although this mode realizes the remote diagnosis of electrocardiogram report, but Be according to used its data volume of frontal region domain can unusual unshapeliness, which results in the serious wastes of doctor's resource, and in institute In the data of upload, the overwhelming majority is normal data, and time and efforts needed for analyzing these normal datas is also to limited Doctor's resource causes burden, to cause to waste.
Embodiment 2
(1), doctor's collection terminal obtains patient ECG's data, and data are assigned to idle cardiac diagnosis server, Cardiac diagnosis server is the automatic diagnosing machinery people of Alpha's shafts electrocardio, is a kind of server for diagnosing electrocardiogram (ECG) data;
(2), cardiac diagnosis server analysis data are classified, and are classified according to the automatic diagnosing machinery people of Alpha's shafts electrocardio It can identify and classify cannot identify to be abnormal data, can identify to be normal data, normal data is transmitted directly to Doctor's collection terminal, while abnormal data is transmitted to audit doctor backstage and real time monitoring server;
(3), real time monitoring server reminds corresponding doctor to diagnose by doctor's wechat, monitors server pair in real time The data mode of transmission is monitored, and by storing doctor's account data, real time monitoring server includes that doctor audits platform, doctor Teacher audits platform by doctor and registers, while doctor's auditing result is transferred to doctor's collection terminal by collection terminal doctor;
(4), doctor receives data and audits, and sends doctor's collection terminal for diagnostic result after audit, and by curing Teacher's collection terminal is sent to corresponding doctor, and the data that doctor receives are given first for the automatic diagnosing machinery people of Alpha's shafts electrocardio Walk diagnostic data and cardiac diagnosis data, the tentative diagnosis data that doctor gives according to the automatic diagnosing machinery people of Alpha's shafts electrocardio It modifies.
By using the automatic diagnosing machinery people of Alpha's shafts electrocardio, the automatic diagnosing machinery people of Alpha's shafts electrocardio can locate automatically The data of normal ECG are managed and signed and issued, can reduce by 70% ecg analysis amount in this way;And Alpha's shafts electrocardio is automatic The conclusion that diagnosing machinery people provides abnormal electrocardiographic pattern can give the audit necessary guidance of doctor, can simplify 20% left side in this way Right analysis review process;Later, the data for needing to be audited by doctor's manual analysis are just only left 10% or so, greatly drop in this way The work load of low doctor, preferably improve human resources from utilization.
Embodiment 3
(1), doctor's collection terminal obtains patient ECG's data, and data are assigned to idle cardiac diagnosis server, Cardiac diagnosis server is the automatic diagnosing machinery people of Alpha's shafts electrocardio, is a kind of server for diagnosing electrocardiogram (ECG) data;
(2), cardiac diagnosis server analysis data are classified, and are classified according to the automatic diagnosing machinery people of Alpha's shafts electrocardio It can identify and classify cannot identify to be abnormal data, can identify to be normal data, normal data is transmitted directly to Doctor's collection terminal, at the same by abnormal data be transmitted to audit doctor backstage and real time monitoring server, cardiac diagnosis server it Between communicated using P2P network;
(3), real time monitoring server reminds corresponding doctor to diagnose by doctor's wechat, and real time monitoring server is adopted It being communicated between P2P network and cardiac diagnosis server, real time monitoring server is monitored the data mode of transmission, By storing doctor's account data, real time monitoring server includes that doctor audits platform, and doctor audits platform by doctor and carries out Registration, while doctor's auditing result is transferred to doctor's collection terminal by collection terminal doctor;
(4), doctor receives data and audits, and sends doctor's collection terminal for diagnostic result after audit, and by curing Teacher's collection terminal is sent to corresponding doctor, and the data that doctor receives are given first for the automatic diagnosing machinery people of Alpha's shafts electrocardio Walk diagnostic data and cardiac diagnosis data, the tentative diagnosis data that doctor gives according to the automatic diagnosing machinery people of Alpha's shafts electrocardio It modifies.
The automatic diagnosing machinery people of Alpha's shafts electrocardio can automatically process and sign and issue the data of normal ECG, can subtract in this way Few 70% ecg analysis amount;And the conclusion that the automatic diagnosing machinery people of Alpha's shafts electrocardio provides abnormal electrocardiographic pattern, it can be with The audit necessary guidance of doctor is given, can simplify 20% or so analysis review process in this way;And it needs to be examined by doctor's manual analysis The data of core are just only left 10% or so, greatly reduce the work load of doctor in this way;
The network structure of P2P can preferably coordinate the workload of each server, can be effectively reduced in this way wait divide The accumulation for analysing data, to improve analysis efficiency;
All data audits are completed in identical platform, such doctor can it is trans-regional to abnormal electrocardiographic pattern into Row audit, to share partial region analysis review doctor's pressure.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its Equivalent thereof.

Claims (7)

1. a kind of automatic diagnosing machinery people of Alpha's shafts electrocardio, comprising the following steps:
(1), doctor's collection terminal obtains patient ECG's data, and data are assigned to idle cardiac diagnosis server;
(2), cardiac diagnosis server analysis data are classified, at the same by abnormal data be transmitted to audit doctor backstage with it is real-time Monitoring server;
(3), real time monitoring server reminds corresponding doctor to diagnose by doctor's wechat;
(4), doctor receives data and audits, and sends doctor's collection terminal for diagnostic result after audit, and adopted by doctor Collection end is sent to corresponding doctor.
2. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (1) in, cardiac diagnosis server is the automatic diagnosing machinery people of Alpha's shafts electrocardio, is a kind of server for diagnosing electrocardiogram (ECG) data.
3. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (2) can classification, identify according to the automatic diagnosing machinery people of Alpha's shafts electrocardio and classify, cannot identify to be abnormal number in According to can identify to be normal data, normal data is transmitted directly to doctor's collection terminal.
4. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (2) it in, is communicated between cardiac diagnosis server using P2P network.
5. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (3) in, real time monitoring server monitors server pair in real time using being communicated between P2P network and cardiac diagnosis server The data mode of transmission is monitored, by storing doctor's account data.
6. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (3) in, real time monitoring server includes that doctor audits platform, and doctor is registered by doctor's audit platform, while by doctor Auditing result is transferred to doctor's collection terminal by collection terminal doctor.
7. the automatic diagnosing machinery people of a kind of Alpha's shafts electrocardio according to claim 1, it is characterised in that: the step (4) in, the data that doctor receives are that the tentative diagnosis data that the automatic diagnosing machinery people of Alpha's shafts electrocardio gives are examined with electrocardio Disconnected data, doctor modify according to the tentative diagnosis data that the automatic diagnosing machinery people of Alpha's shafts electrocardio gives.
CN201811227150.0A 2018-10-22 2018-10-22 A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio Pending CN109303557A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811227150.0A CN109303557A (en) 2018-10-22 2018-10-22 A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811227150.0A CN109303557A (en) 2018-10-22 2018-10-22 A kind of automatic diagnosing machinery people of Alpha's shafts electrocardio

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Publication Number Publication Date
CN109303557A true CN109303557A (en) 2019-02-05

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101292867A (en) * 2008-05-28 2008-10-29 北京工业大学 Physiological multi-parameter remote monitoring system and method based on B/S structure
CN102232827A (en) * 2010-04-22 2011-11-09 上海四维医学科技有限公司 Remote electrocardio monitoring system
US8360975B1 (en) * 2008-02-25 2013-01-29 Midmark Corporation Networked interface appliance for improved medical device integration and physician workflow
CN107714029A (en) * 2017-11-20 2018-02-23 北京工业大学 A kind of ECG Telemonitor System

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8360975B1 (en) * 2008-02-25 2013-01-29 Midmark Corporation Networked interface appliance for improved medical device integration and physician workflow
CN101292867A (en) * 2008-05-28 2008-10-29 北京工业大学 Physiological multi-parameter remote monitoring system and method based on B/S structure
CN102232827A (en) * 2010-04-22 2011-11-09 上海四维医学科技有限公司 Remote electrocardio monitoring system
CN107714029A (en) * 2017-11-20 2018-02-23 北京工业大学 A kind of ECG Telemonitor System

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Application publication date: 20190205