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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 4    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 4,April 2012
Removal of Baseline wander and detection of QRS complex using wavelets
Full Text(PDF, )  PP.41-45  
Author(s)
Nilesh Parihar, Dr. V. S. Chouhan
KEYWORDS
— Baseline wander, Differentiator, ECG, Kaiser Window, MAI, QRS Complex, Wavelets
ABSTRACT
ECG signals are used to detect the heart rate and heart abnormalities. For extraction of ECG features and detection of QRS complexes it is required to remove baseline wander and minimize the noise interference. In this paper we proposed a technique to remove baseline wander using Kaiser Windowing filter and wavelet transform, among which wavelet is most powerful and effective tool for analyzing transient signal. The algorithm is developed in matlab with standard CSEECG database.
References
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