DocumentCode :
3172559
Title :
Pre processing the abdominal ECG signal using combination of FIR filter and principal component analysis
Author :
Savitha, R.V. ; Breesha, S.R. ; Joseph, X. Felix
Author_Institution :
Dept. of Electr. & Electron. Eng., Noorul Islam Univ., Kanyakumari, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
Pre Processing the abdominal ECG signal in order to extract the fetal ECG is becoming very crucial nowadays. The extracted Fetal ECG should not contain any of the noise interferences, since it will affect the diagnosis. Before extracting the Fetal ECG, the abdominal ECG must be pre processed so that the noises (such as power line interference, Base line wandering, electrode contact noise etc) can be reduced. In this paper, pre processing is done using a combination of FIR Filter and Principal component Analysis (PCA). The result shows that the proposed method (Combination of FIR and PCA) removes noise and other unwanted interferences more efficiently than existing methods. A comparison between Butterworth filter, FIR Filter, Principal Component Analysis and the current work is done and better results (PSNR and MSE) are obtained by the proposed method.
Keywords :
Butterworth filters; FIR filters; biological organs; biomedical electrodes; electrocardiography; feature extraction; medical signal processing; obstetrics; principal component analysis; signal denoising; Butterworth filter; FIR filter; PCA; abdominal ECG signal preprocessing; base line wandering; diagnosis; electrode contact noise; extracted fetal ECG; noise interferences; power line interference; principal component analysis; Computers; Electrocardiography; Fetus; Finite impulse response filters; Noise; Principal component analysis; Abdominal ECG; Butter worth filter; FIR Filter; Fetal ECG; Principal Component Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
Type :
conf
DOI :
10.1109/ICCPCT.2015.7159460
Filename :
7159460
Link To Document :
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