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17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04)
The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals
Bethesda, Maryland
June 24-June 25
ISBN: 0-7695-2104-5
ASCII Text
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Ying-Wen Bai, Wen-Yang Chu, Chien-Yu Chen, Yi-Ting Lee, Yi-Ching Tsai, Cheng-Hung Tsai, "The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals," Computer-Based Medical Systems, IEEE Symposium on, pp. 273, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004.
 
 
BibTex
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@article{ 10.1109/CBMS.2004.1311727,
author = {Ying-Wen Bai and Wen-Yang Chu and Chien-Yu Chen and Yi-Ting Lee and Yi-Ching Tsai and Cheng-Hung Tsai},
title = {The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2004},
issn = {1063-7125},
pages = {273},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2004.1311727},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals
SN - 1063-7125
SP
EP
A1 - Ying-Wen Bai,
A1 - Wen-Yang Chu,
A1 - Chien-Yu Chen,
A1 - Yi-Ting Lee,
A1 - Yi-Ching Tsai,
A1 - Cheng-Hung Tsai,
PY - 2004
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Ying-Wen Bai, Fu Jen Catholic University, Taipei, Taiwan
Wen-Yang Chu, Fu Jen Catholic University, Taipei, Taiwan
Chien-Yu Chen, Fu Jen Catholic University, Taipei, Taiwan
Yi-Ting Lee, Fu Jen Catholic University, Taipei, Taiwan
Yi-Ching Tsai, Fu Jen Catholic University, Taipei, Taiwan
Cheng-Hung Tsai, Fu Jen Catholic University, Taipei, Taiwan
After an analog ECG signal is transferred into digital format, a suitable digital filter can be used to suppress the high-frequency embedded noise. In this paper, we use the equiripple FIR low-pass filter by superimposing of the optimal method, the Butterworth IIR low-pass filter, the 8-point moving-average filter, and the FIR filter designed by using a Kaiser window. Furthermore, we combine the 8-point moving-average filter with the FIR filter designed by using a Kaiser window. In addition, we use the mean square error (M. S. E.) to estimate the effect of the digital filters in order to compare the reduction of the embedded high-frequency noise. Hence, we compute the mean square error with respect to the order, N, of these filters and plot the relationship between M. S. E. and N. Finally, we find the relationship between the CPU time and N.
Citation:
Ying-Wen Bai, Wen-Yang Chu, Chien-Yu Chen, Yi-Ting Lee, Yi-Ching Tsai, Cheng-Hung Tsai, "The Combination of Kaiser Window and Moving Average for the Low-Pass Filtering of the Remote ECG Signals," cbms, pp.273, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004
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