An energy efficient epileptic seizure detector

Md Abu Sayeed, Saraju P. Mohanty, Elias Kougianos, Hitten Zaveri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Epilepsy is one of the most common neurological disorders affecting up to 1% of the world's population and approximately 2.5 million people in the United States. Seizures in more than 30% of epilepsy patients are resistant to anti-epileptic drugs. A significant biomedical research is focused on the development of an energy efficient implantable integrated circuit for real-time detection of seizures. In this paper we propose an architecture for an implantable seizure detector using a hyper-synchronous signal detection circuit and signal rejection algorithm (SRA). The proposed seizure detector (SD) continuously monitors neural signals for hyper-synchronous pulses and extracts the seizure onset signal. If the pulses in an epoch exceed a threshold value, a seizure is declared. The design was validated using Simulink®. The signal rejection algorithm (SRA) reduces false detection and minimal circuitry leads to a 12% reduction of power consumption.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics, ICCE 2018
EditorsSaraju P. Mohanty, Peter Corcoran, Hai Li, Anirban Sengupta, Jong-Hyouk Lee
Pages1-4
Number of pages4
ISBN (Electronic)9781538630259
DOIs
StatePublished - 26 Mar 2018
Event2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States
Duration: 12 Jan 201814 Jan 2018

Publication series

Name2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Volume2018-January

Conference

Conference2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/TerritoryUnited States
CityLas Vegas
Period12/01/1814/01/18

Keywords

  • Energy Efficient Design
  • Epilepsy
  • Hypersynchronous
  • Seizure

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