Electrocardiosignal preanalysis method

An electrocardiographic signal and pre-analysis technology, applied in the field of biological signals and intelligent processing, can solve problems such as low signal-to-noise ratio, achieve less calculation, reduce transmission, and achieve simple effects

Active Publication Date: 2016-10-12
TIANJIN UNIVERSITY OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

[0002] The human ECG signal is a weak electrical signal. The physiological signal carrying the information of the human body function is always mixed together through complex patterns, which will be interfered by various noises, and the signal-to-noise ratio is low.

Method used

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  • Electrocardiosignal preanalysis method

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Embodiment Construction

[0031] A specific embodiment of the present invention will be described below in conjunction with the accompanying drawings.

[0032] A method for ECG signal pre-analysis, characterized in that the specific steps are as follows:

[0033] Step 1: the electrocardiographic signal data that finishes filter processing is detected R wave based on window threshold algorithm, and carries out heart rate variability analysis;

[0034] Step 2: Display the processed data on the custom control, and mark the R point, mark the QRS point, calculate parameters, etc.;

[0035] Step 3: Screen the ECG data collected by the patient, save the waveform with better quality, reduce the transmission of some ECG data with poor waveform quality between doctors and patients, and serve as the coordination center between the patient and the doctor, providing follow-up doctors Diagnosis provides the basis, and finally the data with better waveform quality is also sent to the doctor through social software. ...

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Abstract

The invention belongs to the field of biological signal and intelligent processing, and particularly relates to an electrocardiosignal preanalysis method. The method particularly comprises the steps that an R wave is detected out from electrocardiosignal data subjected to filtering processing through a threshold value algorithm based on a window, and heart rate variability analysis is conducted; the processed data is displayed on a customized control, an R point is marked, a QRS point is marked, and parameters are calculated; screening is conducted on electrocardiogram data collected from patients, waveforms with good quality are stored, transmission of the electrocardiogram data with poor waveform quality between doctors and the patients is reduced, the electrocardiogram data serves as a coordinating center between the patients and the doctors, a basis is provided for follow-up diagnosis of doctors, and the data with good waveform quality is sent to a doctor side through social software finally. The electrocardiosignal preanalysis method has the advantages that implementation is easy, the calculation amount is small, the result is visual and convenient to check, screening can be effectively conducted on the electrocardiosignal data collected by the patients, and transmission of the electrocardiogram data with the poor waveform quality between doctors and the patients is reduced.

Description

technical field [0001] The invention belongs to biological signal and intelligent processing, in particular to a method for pre-analyzing electrocardiographic signals. Background technique [0002] The human ECG signal is a weak electrical signal. The physiological signal carrying the information of the human body function is always mixed together through complex patterns, which will be interfered by various noises, and the signal-to-noise ratio is low. In real life, people need to obtain accurate physiological information as an intermediate result to analyze the functional status of the signal source that generates the physiological signal. Among them, the R wave detection method of the ECG (Electrocardiogram, electrocardiogram) signal belongs to the processing of the electrocardiogram signal. The ECG signal is the performance of the electrical activity of the myocardium on the body surface. It is almost a periodic signal. The main feature, therefore, the most important th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0472A61B5/366
CPCA61B5/0006A61B5/7203A61B5/316A61B5/366A61B5/318
Inventor 郑刚戴敏陈彦会
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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