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ECG signal feature extraction method, device, equipment and system and storage medium

A technology of signal characteristics and extraction methods, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of no critical state discrimination, underutilization and omission of ECG information, etc.

Active Publication Date: 2020-03-24
HANGZHOU ARTERYFLOW TECH CO LTD
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  • Claims
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Problems solved by technology

[0002] The electrocardiogram represents the electrical activity of the human heart. Due to the variety of heart diseases, the characteristics of the same disease on the electrocardiogram are often different at different stages. For the twelve-lead electrocardiogram commonly used in clinical practice, there are U waves, P wave, T wave, and QRS wave group, the cardiac parameters calculated according to each characteristic wave have a critical state, and there is no effective method to screen the critical state in the prior art, so that the information in the electrocardiogram is not fully utilized, and omissions may occur

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  • ECG signal feature extraction method, device, equipment and system and storage medium
  • ECG signal feature extraction method, device, equipment and system and storage medium
  • ECG signal feature extraction method, device, equipment and system and storage medium

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Embodiment Construction

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0068] like figure 1 Shown, a kind of electrocardiogram signal feature extraction method comprises the steps:

[0069] Step 100, extracting the Q wave, R wave and S wave of the QRS complex in the electrocardiogram, flattening the QRS complex in the electrocardiogram, and smoothing the electrocardiogram after the flattened QRS complex to obtain a smooth electrocardiogram.

[0070] The electrocardiogram is preferably a 12-lead electrocardiogram, and an electroc...

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Abstract

The invention discloses an ECG signal feature extraction method, device, equipment and system and a storage medium. The method comprises the following steps of extracting Q waves, R waves and S wavesin a QRS wave group of ECG, scraping the QRS wave group in the ECG, and performing smooth processing on the ECG after QRS wave group scraping is completed so as to obtain smooth ECG; in the smooth ECG, extracting P waves; in the smooth ECG, extracting T waves; and according to the Q waves, the S waves, the P waves and the T waves, calculating physiological parameters, if a certain physiological parameter is located in the + / - N% fluctuation range of a certain heart state judging threshold, labelling the physiological parameter as a critical state, wherein the value range of the N is 10-15. TheECG signal feature extraction method, device, equipment and system and the storage medium provided by the invention are used for discriminating the ECG signals under the critical state, and sufficiently reading the information in the ECG.

Description

technical field [0001] The invention relates to the technical field of electrocardiogram signal processing, in particular to a method, device, equipment, system and storage medium for extracting features of electrocardiogram signals. Background technique [0002] The electrocardiogram represents the electrical activity of the human heart. Due to the variety of heart diseases, the characteristics of the same disease on the electrocardiogram are often different at different stages. For the twelve-lead electrocardiogram commonly used in clinical practice, there are U waves, P wave, T wave, and QRS wave group, the cardiac parameters calculated according to each characteristic wave have a critical state, and there is no effective method to screen the critical state in the prior art, so that the information in the electrocardiogram is not fully utilized, and omissions may occur . Contents of the invention [0003] The invention provides an electrocardiogram signal feature extra...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0452
CPCA61B5/7264A61B5/7267A61B5/7246A61B5/318A61B5/349
Inventor 孙勇冯立冷晓畅向建平
Owner HANGZHOU ARTERYFLOW TECH CO LTD
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