Blind source extraction-based atrial fibrillation monitoring method

A kind of atrial fibrillation, blind source technology, applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of accurate estimation, affecting the extraction results, large noise signal interference, etc.

Inactive Publication Date: 2011-02-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the extraction process, the autoregressive (AR) model (signal) of the desired signal is often not adaptively and accurately estimated, and it is greatly interfered by the noise signal, which affects the extraction result

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
  • Blind source extraction-based atrial fibrillation monitoring method
  • Blind source extraction-based atrial fibrillation monitoring method
  • Blind source extraction-based atrial fibrillation monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In this embodiment, the monitored person is an old man aged 68 as an example, the data is a single channel acquisition signal, and the sampling rate of the ECG acquisition instrument used is fs=128S / s.

[0049] Step 1. Classification setting of monitoring standard parameters: Initialize the corresponding monitoring standard parameters according to the type of the monitored person, that is, the monitored person:

[0050] For children, the normal heart rate is set to 100-145 beats / min, for adult men, the normal heart rate is set to 60-80 beats / min, for adult women, the normal heart rate is set to 60-90 beats / min, for the elderly , The normal heart rate is set to 55-85 beats / min; at the same time, the alarm threshold, the standard for the separation and processing of normal and abnormal ECG, and the time period of data collection and processing are used as basic parameters to initialize and set for calling;

[0051] Step 2. Data collection: the present embodiment adopts co...

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 belongs to a monitoring method for an atrial fibrillation disease. The method comprises initialized setting of monitoring standard parameters, data acquisition, baseline drift removal, determination of heart rate, early warning, extraction of AR characteristic signals, extraction of normal electrocardio, normal electrocardio removal with spectral subtraction, nonlinear dimension expansion, separation processing of the signals, spectrum concentration analysis and alarm. The method determines the AR of the normal electrocardio and the AR characteristic signals of abnormal electrocardio of a monitored person based on extraction of atrial fibrillation signals with blind source extracting technology according to the spectrum characteristics when the atrial fibrillation disease attacks by combing the signal processing technology of wavelet transform, nonlinear expansion, spectral subtraction and the like and skillfully using the heart rate parameters and the 'normal' and 'abnormal' electrocardio of a patient. Compared with the traditional monitoring method, the method effectively reduces the consumption of manpower and time for monitoring data analysis, greatly improves the real-time property of atrial fibrillation monitoring and the monitoring accuracy, and is more favorable for clinical application.

Description

technical field [0001] The invention belongs to the field of electrocardiogram monitoring, and the specific content is to realize a method for monitoring atrial fibrillation by using single-lead electrocardiogram signals. Background technique [0002] Atrial fibrillation, referred to as "atrial fibrillation", can be complicated by many types of heart disease, such as rheumatic valvular heart disease, coronary heart disease, cardiomyopathy, constrictive pericarditis, etc. The prevalence of atrial fibrillation is about 1% in people under 60 years old, but increases significantly in people over 70 years old, reaching as high as 10% in people over 80 years old. At present, the extraction methods of atrial fibrillation signals at home and abroad include template matching method, principal component analysis (PCA), independent component analysis (independent component analysis, ICA), blind source separation (Blind source separation, BSS), and blind source separation. Source extra...

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 Applications(China)
IPC IPC(8): A61B5/0402
Inventor 王云鹤王刚饶妮妮李杰刘广雄杨泽武
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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