Realization of comprehensive detection algorithm of electrocardiogram signal at application layer electrocardiogram monitoring internet of thing

An ECG signal and comprehensive detection technology, applied in the field of the Internet of Things, to achieve good baseline drift, suppress or eliminate baseline drift, and good robustness

Inactive Publication Date: 2011-01-19
TIANJIN POLYTECHNIC UNIV
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  • Realization of comprehensive detection algorithm of electrocardiogram signal at application layer electrocardiogram monitoring internet of thing
  • Realization of comprehensive detection algorithm of electrocardiogram signal at application layer electrocardiogram monitoring internet of thing
  • Realization of comprehensive detection algorithm of electrocardiogram signal at application layer electrocardiogram monitoring internet of thing

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Embodiment Construction

[0012] The best embodiment of the present invention will be described in detail below in conjunction with technical solutions and accompanying drawings.

[0013] The present invention solves the comprehensive detection problem of each waveform component of the ECG signal in the application layer of the ECG monitoring Internet of Things, constructs a series of detection methods, detection criteria and threshold parameters based on wavelet transform technology, and detects and recognizes the QRS wave group, P wave, and T wave. The specific shape and location, the specific implementation steps are:

[0014] 1. ECG signal transformation and improved envelope

[0015] Most of the energy of the QRS complex is at 3-40Hz, and the main part of ECG noise includes baseline drift (0.15-0.3Hz), 50 / 60Hz power frequency interference, myoelectric interference (2-5Hz), artificial influence (below 7Hz) Interference with the surrounding environment, while the main energy of the P / T wave is belo...

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Abstract

The invention discloses the realization of a comprehensive detection algorithm of an electrocardiogram signal at the application layer of an electrocardiogram monitoring internet of thing, belonging to the technical field of the internet of thing. The invention mainly solves the problem of comprehensive detection of each wave shape component in the application layer of the electrocardiogram monitoring internet of thing. The invention builds a series of detection methods, detection standards and threshold parameters based on the wavelet transform technique, provides a detection method based on the wavelet transform, the Hilbert transform and the improved envelope transform to the electrocardiogram signal, and detects and identifies the specific shape and position of the QRS wave group, the P wave and the T wave. The detection algorithm provided in the invention has better robustness, and can preferably restrain or eliminate external factors of baseline drift, high-frequency interference and the like. The electrocardiogram signal comprehensive detection algorithm has the false detection rate of 0.89% through the MATLAB simulation and the MIT-BIH data base mark comparison.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Things, and specifically relates to the comprehensive detection of each waveform component of the ECG signal in the application layer of the Internet of Things for ECG monitoring. Based on wavelet transform technology, a series of detection methods, detection criteria and threshold parameters are constructed to detect and identify QRS waves. Specific shapes and positions of groups, P waves, and T waves. Background technique [0002] The Internet of Things is a network connecting the physical world that integrates sensing technologies such as sensors and sensor networks, transmission technologies such as communication networks and the Internet, and intelligent computing and intelligent processing technologies. In terms of architecture, the Internet of Things consists of three parts: the perception layer, the network layer, and the application layer. The bottom layer is the perception layer...

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Application Information

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IPC IPC(8): A61B5/0452
Inventor 李鸿强于晓刚苗长云田文涛王嘉庆
Owner TIANJIN POLYTECHNIC UNIV
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