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Electrocardiogram characteristic selecting method

A feature selection method and electrocardiogram technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as overlapping heart beats before and after heart beats, difficulty in extracting features between heart beats, etc., and achieve the effect of convenient identification

Inactive Publication Date: 2013-12-04
SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to solve the defect that in the prior art, due to some abnormal or disturbed electrocardiograms, there may be a certain wavelet missing, or the front and rear heartbeats overlap, which causes difficulties in the extraction of heartbeat interval features, Provides a ECG feature selection method

Method used

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Embodiment 1

[0073] see Figure 5 , Figure 5 In the annotated time series diagram of a 360Hz sampled electrocardiogram provided in Embodiment 1 of the present invention, the P wave is missing.

[0074] Will Figure 5 The annotated time series of the sampled ECG shown in , is searched through the left and right windows to obtain the cardiac beat data matrix, as described in Figure 6 for details. in, Figure 6a , Figure 6b and Figure 6c They are respectively the first heartbeat, the second heartbeat and the completed second heartbeat data matrix structure diagram provided by Embodiment 1 of the present invention. In order to reduce storage space and facilitate processing, the serial number of the sampling point is stored in the heartbeat structure, and the serial number and the known sampling frequency can be easily converted to the sampling time.

[0075] Based on the data matrix in Figure 6, the interval characteristics of the first heartbeat are obtained by calculation:

[0076]...

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Abstract

The invention provides an electrocardiogram characteristic selecting method, which comprises the steps: searching for a QRS wave group in a heart beat; by taking R wave in the QRS wave group as a center, searching for P wave and T wave, and labeling time scales for the P wave and the T wave; converting the time scales into a structurized data matrix; if any waveform of the P wave or T wave is missing, a wave band in the QRS is used for supplementing the data matrix; and extracting interval characteristics of heart beats according to the supplemented data matrix. According to the electrocardiogram characteristic selecting method, a time sequence of gauge points is converted into structurized labeled data of the heart beat, missing gauge points can be supplemented in the structurized labeled data, characteristics of the width of the P wave, the width of QRS, the width of the T wave, the PR interval and the QRT interval can be conveniently extracted, and characteristics of the PP interval and the RR interval between heart beats can be conveniently extracted.

Description

technical field [0001] The invention relates to the technical field of electrocardiogram signals, in particular to an electrocardiogram feature selection method. Background technique [0002] Electrocardiogram examination is an effective method for diagnosing arrhythmia and myocardial ischemia. This method has the advantages of non-invasiveness and low cost, and has a huge market prospect. Especially in institutions such as physical examination centers and remote consultation centers, full-time electrocardiogram doctors need to interpret daily A large number of electrocardiograms, in order to reduce the workload of doctors, computer-aided electrocardiogram automatic classification and recognition system has been paid more and more attention in recent years. [0003] A complete ECG automatic classification and recognition system usually includes the following processes: data acquisition, data preprocessing, feature extraction, and classifier training / prediction. There are ma...

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 张战成张高登董军
Owner SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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