Abstract

Nitin Jain, Dr. Shanti Rathore

ABSTRACT

It is highly desired to smooth the noise and motion artifacts form the Electro-Encephalography (EEG) signals. The recorded scalp EEG data suffers from the eye blink and muscular motion artifacts. The IIR filter has been previously used for filtering the artifacts from EEG signals. But pass-band-stop band IIR filters usually suffers from the large delay and phase distortion. Thus in this paper it is proposed to design zero phase (ZP) filter with reduced order and delay. The proposed filter is combination of Forward-Backward (FB) filter designed for minimizing phase distortion and to improve performance. The proposed design smooth motion artefacts using ZP-IIR filter along with Min-Max optimization for reduced order design. The improvement in parametric performance shows the effectiveness of proposed ZP reduced-order IIR filters. Three unique EEG scalp data is considered t for result evaluation. Parametric performance is evaluated for the Ratio of signal to noise (SNR), and mean square error (MSE). Results show that the proposed algorithm provides a good improvement in SNR over existing algorithm.