A hardware-efficient lowpass filter design for biomedical applications

Author

Demosthenous, Panayiota ; Nicolaou, Nicoletta ; Georgiou, Julius

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus

fYear

2010

fDate

3-5 Nov. 2010

Firstpage

130

Lastpage

133

Abstract

A hardware-efficient lowpass filter design technique based on an exponentially weighted moving average (EWMA) filter architecture is proposed for the detection of general action potentials and nerve spikes in noisy signals. The EWMA VLSI architecture is compared with a basic moving average (MA) architecture and it is found that the EWMA technique is the most economical in terms of space of the two. In addition, a rule of thumb is given for converting a MA filter to the proposed filter. In the comparison, it was found that an EWMA filter is almost 85% more hardware-efficient than an MA filter.

Keywords

VLSI; biomedical electronics; low-pass filters; EWMA technique; biomedical applications; exponentially weighted moving average filter architecture; general action potentials; hardware-efficient lowpass filter design; nerve spike detection; noisy signals; Computer architecture; Cutoff frequency; Digital filters; Hardware; Low pass filters; Noise measurement; Transistors; Low-area moving average filter implementation; exponentially weighted moving average filter; filtering); neural spike detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE

Conference_Location

Paphos

Print_ISBN

978-1-4244-7269-7

Electronic_ISBN

978-1-4244-7268-0

Type

conf

DOI

10.1109/BIOCAS.2010.5709588

Filename

5709588