A real-time R-wave detection method of ECG signal

A technology for electrocardiographic signals and detection methods, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of low detection accuracy, easy to be interfered by noise, complex algorithm, etc., to achieve the ability to overcome interference and accuracy High, simple method

Active Publication Date: 2020-03-24
南京和协集成电路科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the differential threshold method has a high accuracy rate, but is susceptible to noise interference; the wavelet transform method and the neural network method have a high recognition accuracy rate, but the algorithm is complex and not suitable for real-time detection; the template matching algorithm is simple, but it is not suitable for high-frequency Sensitive to noise and baseline drift
The algorithm of the slope method is simple, and it can realize real-time detection and meet the requirements of real-time ECG monitoring, but the recognition accuracy is usually not high. For example, a real-time algorithm using the slope method to detect R waves mentioned by Chan et al. (Tan K F, Chan KL,Choi K.Detection of the QRS complex,P wave and T wave in electrocardiogram[C] / / International Conference on Advances in Medical Signal&Information Processing.IET,2000:41-47), the threshold of this method is fixed and the detection is correct low rate

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A real-time R-wave detection method of ECG signal
  • A real-time R-wave detection method of ECG signal
  • A real-time R-wave detection method of ECG signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The data adopted in this embodiment is obtained through a single-lead dry collection of a watch. One electrode signal is taken from the wrist of one hand, and the other electrode signal is taken from the finger of the other hand. Connect the ECG signal, the two electrodes use the differential method to obtain the potential difference between the two points, and collect the ECG signal at a sampling frequency of 250Hz. The sampling method is as follows: figure 2 .

[0036] Below in conjunction with accompanying drawing, the present invention will be further described and introduced:

[0037] 1) Denoising processing of ECG data: use adaptive notch filter to remove power frequency interference, which can remove 50Hz and its harmonic interference, use notch filter to filter out 50Hz power frequency interference, high-pass filter cut-off frequency is 4Hz Filter out baseline drift and motion interference, the denoising effect is as follows image 3 ;

[0038]2) Determinati...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for real-time R-wave detection of electrocardiographic signals. Based on the existing slope method detection algorithm, the method can detect the R wave in real time with a higher accuracy rate in the case of large interference by updating the amplitude screening threshold and slope comparison threshold in real time, and adding the R wave interval check. . The invention has the obvious advantages of simple method, good real-time performance, strong ability to overcome interference and high accuracy, and is suitable for real-time R-wave detection of portable wearable ECG monitoring equipment.

Description

technical field [0001] The invention relates to an improved method for real-time detection of R waves of electrocardiographic signals. Background technique [0002] The incidence of cardiovascular disease is getting higher and higher, and it has become one of the most harmful diseases to human life. Electrocardiogram (ECG), as an important characterization of the state of the heart, plays a very important role in detecting heart diseases. Traditional PC monitors are expensive, bulky, inconvenient to move and mainly concentrated in hospitals, and cannot monitor patients' conditions in real time, which brings great inconvenience to patients and doctors. With the rapid development of embedded and network communication technology, wearable ECG monitoring equipment has emerged as the times require. It has the advantages of low cost, small size, high reliability, and simple operation. It is suitable for individuals, families, small and medium-sized hospitals and community medica...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/0456A61B5/00A61B5/352
CPCA61B5/6801A61B5/7203A61B5/7225A61B5/725A61B5/318A61B5/352
Inventor 张丽敏胡佳伟顾秀秀闫锋丁健文王涟
Owner 南京和协集成电路科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap