An efficient embedded hardware for high accuracy detection of epileptic seizures

Mushfiq U. Saleheen, Homa Alemzadeh, Ajay M. Cheriyan, Zbigniew Kalbarczyk, Ravishankar K. Iyer

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

Abstract

This paper presents design, implementation and evaluation of an efficient embedded hardware for accurate automated detection of epileptic seizures. Three hardware configurations are proposed and evaluated in terms of accuracy of detection, utilization of hardware resources, and power consumption. The results show that a solution based on combination of the statistical function of variance (for feature extraction) and an artificial neural network (ANN) classifier allows to achieve high detection accuracy (99.18%) with moderate hardware footprint (around 44% of the FPGA resources). Furthermore, use of algorithmic and architectural optimization techniques (reduction in precision of the fixed-point number representation and reuse of hardware components) allows reducing hardware footprint by a factor of 4.4 and power consumption by a factor of 2.7 as compared with an un-optimized hardware configuration. High accuracy, real-time detection, simplicity, power efficiency and small hardware footprint make our approach a good candidate for embedded epileptic seizure detection implementation.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages1889-1896
Number of pages8
DOIs
StatePublished - Dec 1 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Publication series

NameProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Volume5

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10/16/1010/18/10

Keywords

  • Biomedical devices
  • Biomedical signal processing
  • Epileptic seizure detection
  • Reconfigurable hardware

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Saleheen, M. U., Alemzadeh, H., Cheriyan, A. M., Kalbarczyk, Z., & Iyer, R. K. (2010). An efficient embedded hardware for high accuracy detection of epileptic seizures. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (pp. 1889-1896). [5639541] (Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010; Vol. 5). https://doi.org/10.1109/BMEI.2010.5639541