A low-power "near-threshold" epileptic seizure detection processor with multiple algorithm programmability

Himanshu S. Markandeya, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy

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

Abstract

In this paper, we developed and implemented a low-power multiple-algorithm processor for detection of epileptic seizures with high efficacy. Four different algorithms - The Coastline, Hjorth parameter, Energy and Non-linear energy metric based algorithms - are used in our analysis. The Boolean logical combinations of these algorithms allow programmability according to the patient specific needs and improve efficacy by almost 10%. The system implemented in 65-nm TSMC technology consumes about 13.1 μW (measured) at scaled supply voltage of 400mV. Programmability using Boolean logic helps in improving the efficacy resulting in almost an error-free detection.

Original languageEnglish (US)
Title of host publicationISLPED'12 - Proceedings of the International Symposium on Low Power Electronics and Design
Pages285-290
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'12 - Redondo Beach, CA, United States
Duration: Jul 30 2012Aug 1 2012

Publication series

NameProceedings of the International Symposium on Low Power Electronics and Design
ISSN (Print)1533-4678

Conference

Conference2012 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED'12
Country/TerritoryUnited States
CityRedondo Beach, CA
Period7/30/128/1/12

Keywords

  • asic
  • biomedical
  • epilepsy
  • low-power implants

ASJC Scopus subject areas

  • General Engineering

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