The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 52-377
Full Name: Manpreet Kaur
Position: Associate Professor
Age: ON
Sex: Female
Address: SLIET Longowal
Country: INDIA
Tel: 01672-305342
Tel prefix: 01672
Fax: 01672-305121
E-mail address: aneja_mpk@yahoo.com
Other E-mails: birmohans@gmail.com
Title of the Paper: Digital IIR Filters for Removal of Baseline and Powerline Interference from ECG Signal
Authors as they appear in the Paper: Seema Rani, Manpreet Kaur, Birmohan Singh, J.S.Ubhi
Email addresses of all the authors: seemagoyal.2009@gmail.com,aneja_mpk@yahoo.com,birmohans@gmail.com,js_ubhi@yahoo.com
Number of paper pages: 11
Abstract: - In signal processing, the function of a filter is to remove unwanted parts of the signal, such as random noise, or to extract useful parts of the signal, such as the components lying within a certain frequency range. This paper presents the Digital IIR filter structures to remove Baseline drift and Powerline interference noises from the ECG signal hence it is desirable to remove them for proper analysis and display of the ECG signal. In this paper, firstly IIR high pass filters are designed and implemented to remove Baseline drift and their performance is compared with FIR equiripple filter. After that, IIR notch filter is applied on the original signal & the signal obtained after removing baseline, to remove Powerline interference. The results show that IIR filters have proved that Baseline drift & Powerline Interference can be removed efficiently at very low cost and with less computational complexity.
Keywords: ECG, Butterworth Filter, Chebyshev I Filter, IIR Notch Filter, Baseline Drift, Powerline Interference, Power Spectral Density
EXTENSION of the file: .doc
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How Did you learn about congress: Baseline and powerline interference removal from ECG Signal
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