DocumentCode :
333468
Title :
Using beat sequence filter to reduce noise in late potentials detecting
Author :
Mang, I. Vai ; Li-Gao, Zhou
Author_Institution :
Fac. of Sci. & Technol., Macau Univ, Macau
fYear :
1998
fDate :
29 Oct-1 Nov 1998
Firstpage :
227
Abstract :
Signal averaging is a general and effective method to reduce noise in ECG late potentials detection, but it may also extinguish the beat to beat variance. Other filters applied to the time sequence may destroy the late potentials when trying to filter out the noise. Filters, which are beat sequence originated, are proposed here to preserve beat to beat variance as well as late potentials as much as possible. A few different methods, including low pass and Wiener adaptive beat sequenced filters are applied and discussed
Keywords :
FIR filters; Gaussian noise; IIR filters; Wiener filters; adaptive filters; electrocardiography; low-pass filters; medical signal processing; signal sampling; white noise; Butterworth IIR filter; ECG late potentials detection; Gaussian white noise; Hamming window FIR filter; QRS complex; Wiener adaptive filters; beat sequence filter; beat to beat variance; low pass filters; noise reduction; signal averaging; Adaptive filters; Electrocardiography; Filtering; Finite impulse response filter; IIR filters; Low pass filters; Noise level; Noise reduction; Signal processing; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.745880
Filename :
745880
Link To Document :
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