DocumentCode :
3504734
Title :
Preprocessing MAMD and RSEF for R-R interval detection of ECG
Author :
Kohama, Takashi ; Nakamura, Shogo ; Hoshino, Hiroshi
Author_Institution :
Dept. of Electron. Eng., Tokyo Denki Univ., Japan
Volume :
2
fYear :
1999
fDate :
36495
Firstpage :
1162
Abstract :
Electrocardiogram (ECG) is used in order to discover heart disease early. Especially, the R-R interval gives useful information about the heart condition. The purpose of this study is the detection of an accurate R wave position in order to extract the R-R interval of the ECG. Recently, a method for detecting the position of an R wave was proposed using moving averaged magnitude difference (MAMD). Since there is an individual difference in the ECG waveform, however, improvement of the approach is necessary. The authors proposed the R/S wave enhancement filter (RSEF) for preprocessing and an R wave detection algorithm which adaptively decides the search region. The algorithm searches for only the short time duration estimated from the most recent R-wave position in order to detect the next R-wave efficiently. The authors call this duration a Window. In this paper, the comparison between the MAMD and the RSEF is also investigated
Keywords :
adaptive signal processing; diseases; electrocardiography; medical signal detection; medical signal processing; ECG R-R interval detection; ECG waveform; R/S wave enhancement filter; accurate R wave position; early heart disease discovery; electrodiagnostics; individual difference; moving averaged magnitude difference; signal preprocessing; Adaptive filters; Cardiac disease; Detection algorithms; Detectors; Educational institutions; Electrocardiography; Frequency; Heart; Monitoring; Noise figure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
Type :
conf
DOI :
10.1109/TENCON.1999.818632
Filename :
818632
Link To Document :
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