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A p-wave detection method based on double-density wavelet transform

A technology of wavelet transform and detection method, which is applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of accurate detection and extraction of difficult P waves, and achieve high signal-to-noise ratio, small smoothing value, and high smoothness Effect

Active Publication Date: 2020-12-11
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention mainly solves the technical problems existing in the prior art that it is difficult to accurately detect and extract P waves, and provides a high-precision P wave detection method based on double-density wavelet transform

Method used

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  • A p-wave detection method based on double-density wavelet transform
  • A p-wave detection method based on double-density wavelet transform
  • A p-wave detection method based on double-density wavelet transform

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Embodiment

[0039] Embodiment: a kind of P wave detection method based on double-density wavelet transform of the present embodiment, such as figure 1 shown, including the following steps:

[0040] S01. Denoising the ECG signal: using a wavelet threshold denoising method based on double-density wavelet transform to perform noise reduction processing on the front-end ECG signal to obtain a relatively pure ECG signal S(n);

[0041] S02. Positioning the R wave: performing continuous wavelet decomposition on the ECG signal S(n). The wavelet decomposition is specifically calling the cwt function and then selecting the wavelet basis function mexh to decompose the signal. The decomposition scale is determined according to the sampling frequency Fs of the ECG signal. For example, the sampling frequency is 50Hz, the decomposition scale is 1, and the signal in the 0-25Hz frequency band is mainly obtained, and the decomposition scale is 2, and the signal in the 0-12.5Hz frequency band is mainly obta...

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Abstract

The invention discloses a P-wave detection method based on double-density wavelet transform, which comprises the following steps: S01, using double-density wavelet transform to reduce noise of electrocardiographic signal; S02, locating R wave; S03, locating Q wave; S04, performing double-density wavelet decomposition and reconstruction on the ECG signal to determine whether there is a P wave; S05, locating the P wave. Through this scheme, P waves with high signal-to-noise ratio, small smoothing value, and high smoothness can be obtained, which provides a good foundation for subsequent data analysis. This solution is applicable to the processing of ECG signals of the wearable ECG system.

Description

technical field [0001] The invention relates to the field of electrocardiogram data processing, in particular to a P wave detection method based on double-density wavelet transform. Background technique [0002] The wearable ECG detection system can meet the requirements of continuous monitoring, dynamic detection, and mobile access, and is being more and more widely used in the field of medical and health care. The wearable ECG detection system can collect ECG signals for a long time, obtain a large amount of data, and has the following characteristics: 1. Weakness and low frequency; 2. Randomness and instability; 3. High impedance and near Field detection characteristics; 4. Vulnerable to interference. How to detect and extract useful signal components from ECG signals is the core problem that needs to be solved urgently. [0003] The object of extracting the characteristic parameters of the ECG signal is mainly QRS wave group, P wave, T wave, ST segment and other wavefo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0452A61B5/0456A61B5/352
CPCA61B5/7225A61B5/7203A61B5/352A61B5/349
Inventor 潘敏马艺文赵静
Owner ZHEJIANG UNIV