DocumentCode
2180726
Title
Implementaion of Real-Time Detection System Based on DWG
Author
Wang Xinchun ; Wang Kunling
Author_Institution
Dept. of Phys. & Electron., Chuxiong Normal Univ., Chuxiong, China
Volume
1
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
3
Lastpage
6
Abstract
The paper presented a simple and reliable real-time ECG signals detection method which was named Derivative Windows Algorithm (DWA). Firstly, the algorithm detects QRS wave group by method of baseline-opposite amplitude-derivative, then detects TP wave by method of mean-variance-window. And finally, we simulated DWA algorithm in Matlab and performed the algorithm in ARM7TDMI-S subsequently according to the clinical collected ECG signals and 48 groups of ECG signals from MIT-BIH Arrhythmia Database. The results show that the accuracy rate was as high as 99.98%. The algorithm implemented real-time analysis of ECG. The results also testified feasibility and reliability of the algorithm. At last, we drew the conclusion that DWA can pick up and identify main characteristic parameters of ECG, so it can perform rapid and exact diagnosis and is easily applied in the portable system.
Keywords
electrocardiography; medical signal detection; ARM7TDMI-S; MIT-BIH arrhythmia database; Matlab; QRS wave group detection; TP wave detection; baseline-opposite amplitude-derivative; derivative windows algorithm; mean-variance-window; real time ECG signals detection method; Accuracy; Algorithm design and analysis; Electrocardiography; Instruments; Noise; Real time systems; Wavelet transforms; Derivative Windows Algorithm (DWG); QRS waves; TP waves; real-time analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2010 International Symposium on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-8094-4
Type
conf
DOI
10.1109/ISCID.2010.8
Filename
5692649
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