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