Ambient intelligence architecture of MRPM context based 12-tap further desensitized half band FIR filter for EEG signal

Abstract

The half band filter constructed with cascade structure of FIR filter reduces the insensitivity of frequency response due to coefficient quantization. The coefficient insensitivity can be further reduced by desensitized half band FIR filter. A digital desensitized filter incorporates a first and a second half band filter joined in a cascade between an input and the output of the digital filter. The design for analyzing the electroencephalogram (EEG) signals with the half band finite impulse response (FIR) filter architecture. In this work the 12-tap further desensitized FIR half band employs an efficient modified Russian peasant multiplier (MRPM) with a square root carry select adder (SQRT CSLA) stage has been used to reduce the hardware in multiplier and accumulate (MAC) unit. The proposed filter design is used to analyze the EEG signals with reduced hardware in the health care monitoring for ambient environment. The proposed method offers 38.5% reduction in No. of LUTs, 47.49% reduction in No. of slices, 8.16% reduction in delay (ns) and 29.80% reduction in power (mw).