A hardware-efficient lowpass filter design for biomedical applications

Panayiota Demosthenous, Nicoletta Nicolaou, Julius Georgiou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010
Pages130-133
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010 - Paphos, Cyprus
Duration: 3 Nov 20105 Nov 2010

Conference

Conference2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010
CountryCyprus
CityPaphos
Period3/11/105/11/10

Keywords

  • Exponentially weighted moving average filter
  • Filtering
  • Low-area moving average filter implementation
  • Neural spike detection

Fingerprint Dive into the research topics of 'A hardware-efficient lowpass filter design for biomedical applications'. Together they form a unique fingerprint.

  • Cite this

    Demosthenous, P., Nicolaou, N., & Georgiou, J. (2010). A hardware-efficient lowpass filter design for biomedical applications. In 2010 IEEE Biomedical Circuits and Systems Conference, BioCAS 2010 (pp. 130-133). [5709588] https://doi.org/10.1109/BIOCAS.2010.5709588