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Automatic electrocardiogram recognition system

An automatic identification system, electrocardiogram technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve problems such as morphological differences between electrocardiograms and heartbeats

Inactive Publication Date: 2013-05-22
EAST CHINA NORMAL UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In isolated cases, such as when premature ventricular contractions occur (see image 3 ), there may be no obvious abnormality in the difference between adjacent main wave intervals, but at this time there will be a large difference in the shape of each beat of the ECG

Method used

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  • Automatic electrocardiogram recognition system
  • Automatic electrocardiogram recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0170] Collection and analysis of 251 individual electrocardiograms

[0171] Step 1, ECG collection; 251 pieces of 12-lead ECG data were collected from the portable ECG device.

[0172] Step 2, ECG transmission, collection, and time-domain feature recognition. Mainly identify the start point of the wavelet and the peak point of the wavelet of the electrocardiogram. In the actual calculation process, if the program fails to detect the R wave peak, the RR interval related to the peak is invalid. At this time, the number of records with invalid RR interval was 1 (supraventricular premature beat bigeminy). The total effective number is 250, and the effective rate is 99.60%. Among the 250 pieces of data, there are 75 pieces of normal data and 175 pieces of abnormal data.

[0173] Step 3: The real-time collected ECG is first analyzed by the RR interval, and the results calculated based on the program are compared with the actual medical judgment results. When the input parameter...

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Abstract

The invention discloses an automatic electrocardiogram recognition system. The system comprises an electrocardiogram acquisition device, a wireless / wired network transmission module, an electrocardiogram collection and time domain feature recognizer, an electrocardiogram dominant wave interphase recognizer, an electrocardiogram QRS wave group similarity recognizer and an electrocardiogram queuing recognizer, the electrocardiogram acquisition device inputs acquired data to the electrocardiogram collection and time domain feature recognizer via the transmission module, the electrocardiogram collection and time domain feature recognizer recognizes to obtain positions of peak points of P waves, QRS waves and T waves on a 12-lead, the electrocardiogram dominant wave interphase recognizer recognizes heart rate to obtain normal and abnormal results of the heart rate, the electrocardiogram QRS wave group similarity recognizer recognizes whether an electrocardiogram probably has premature beat or not, and the electrocardiogram queuing recognizer sequences and outputs. The system performs real-time computer-aided analysis of clinically acquired 12-lead electrocardiograms to automatically recognize arrhythmia and premature beat electrocardiograms, and accordingly efficiency of electrocardiogram analysis is improved while a priority processing means is provided for emergency electrocardiograms.

Description

technical field [0001] The invention relates to an automatic identification system, in particular to an automatic identification system for electrocardiograms of arrhythmia and premature beats. Background technique [0002] Electrocardiogram (ECG) is a visual graphic record that uses ECG acquisition equipment (such as ECG monitor) to record changes in human heart potential and applies it to clinical heart disease monitoring and diagnosis. It is an important means of diagnosing common heart diseases. Clinical ECG examination usually collects 12-lead ECG data of 10 to 20 seconds for analysis by doctors. The types of arrhythmia (tachycardia, bradycardia, arrhythmia, etc.) and premature beats (atrial premature beats, ventricular premature beats, junctional premature beats, etc.) account for the vast majority of abnormal ECG types, and the automatic identification of this type of ECG The research can effectively assist doctors to improve diagnosis efficiency. [0003] At presen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
Inventor 王丽苹朱洪海董军
Owner EAST CHINA NORMAL UNIV
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