Comparative study of FIR and IIR filters for the removal of 50 Hz noise from EEG signal Online publication date: Thu, 29-Sep-2016
by Vivek Singh; Karan Veer; Reecha Sharma; Sanjeev Kumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 22, No. 3, 2016
Abstract: Small amplitude (μV) of the Electroencephalography (EEG) signal is contaminated by various artefacts in a recorded signal and changes the originality of the signal. The most common disturbance among them is power-line frequency noise of 50 Hz. This makes clinical analysis and information retrieval difficult. It is necessary to remove all such disturbances in EEG signals for proper diagnosis. In this study, performance analysis of Finite Impulse Response (FIR) filter based on various windows and Infinite Impulse Response (IIR) filters for noise reduction from EEG signals have been done. Digital FIR and IIR filter of 100th order applied to signal epochs were studied and performance analysis was done by calculating the fast Fourier transform and signal-to-noise ratio. The result shows that Kaiser window-based FIR filters is better at removing power-line noise from EEG signal.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook