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
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