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Method for recognizing ST segment of electrocardiosignal

An electrocardiographic signal and identification method technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of large calculation, unsatisfactory effect of dynamic electrocardiographic signal ST segment identification, and high complexity, and achieves high accuracy. , easy-to-implement, simple-to-calculate effects

Active Publication Date: 2015-11-11
SHANGHAI NORMAL UNIVERSITY
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Problems solved by technology

At present, although there are time window detection methods, waveform elimination detection methods, wavelet analysis methods, principal component analysis methods and other discriminative methods to identify ST segments, some of them have large calculations and high complexity, and some are not suitable for actual non-standard dynamic heart conditions. The ST segment identification effect of electrical signals is not ideal. Therefore, with the increasing social demand for ECG monitoring, it is necessary to study a new ST segment identification method with simple calculation and strong adaptability.

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  • Method for recognizing ST segment of electrocardiosignal
  • Method for recognizing ST segment of electrocardiosignal
  • Method for recognizing ST segment of electrocardiosignal

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[0028] The human ECG signal reflects the regular depolarization and repolarization process of myocardial cells. The human heart signal S(t) is collected by the ECG detector, and the baseline drift, power frequency interference, and EMG interference are removed by filtering methods. Mixed interference signals, to obtain a clearer ECG signal Then, features such as QRS wave, RR interval, S wave, T wave, ST segment displacement, ST segment slope and other features of ECG signal are extracted by feature extraction method to reflect the strength of cardiac function.

[0029] Such as figure 1 As shown, the end point J of the QRS complex in the ECG signal is to the beginning point T of the T wave on A segment is called ST segment, and for the problem of ECG signal ST segment recognition, it can be converted to ECG signal J point and T on point detection. Usually, the ST segment displacement features are extracted according to R+X, J+X and other methods, but this method is still gr...

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Abstract

The invention discloses a method for recognizing the ST segment of an electrocardiosignal. According to the method, a wave S and a wave T are accurately located through a slope ratio extremum method based on a peak R for the filtered electrocardiosignal, and finally the displacement, slope and length characteristics of the ST segment are accurately recognized. The method is simple in calculation, easy to implement and high in accuracy rate, and a new way is provided for fast and effective recognition of the electrocardiosignal.

Description

technical field [0001] The invention is a digital recognition algorithm for the ST segment of the ECG signal, which is mainly aimed at the filtered ECG signal of the human body, using the slope ratio extreme value method to locate the S wave and the T wave, and realizing the accurate identification of the displacement, slope and width characteristics of the ST segment . Background technique [0002] Electrocardiogram (ECG) records the heart in each cardiac cycle, excited by the pacemaker, atrium, and ventricle successively, accompanied by changes in electrical energy, and its morphological changes reflect the function of the human heart and reflect the state of the heart. It is very important to accurately identify the changing characteristics of ECG signals. [0003] The amplitude range of the ECG signal is about 10μV-5mV, and the frequency range is about 0.05-100Hz. A typical ECG waveform is figure 1 Shown: ECG signal is composed of many characteristic parts, namely: P ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452
Inventor 何宏王争谭永红王月霞闫晓雯
Owner SHANGHAI NORMAL UNIVERSITY
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