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Low-power DWT-based quasi-averaging algorithm and architecture for epileptic seizure detection

Published: 18 August 2010 Publication History

Abstract

In this paper, we have developed a low-complexity algorithm for epileptic seizure detection with a high degree of accuracy. The algorithm has been designed to be feasibly implementable as battery-powered low-power implantable epileptic seizure detection system or epilepsy prosthesis. This is achieved by utilizing design optimization techniques at different levels of abstraction. Particularly, user-specific critical parameters are identified at the algorithmic level and are explicitly used along with multiplier-less implementations at the architecture level. The system has been tested on neural data obtained from in-vivo animal recordings and has been implemented in 90nm bulk-Si technology. The results show up to 90 % savings in power as compared to prevalent wavelet based seizure detection technique while achieving 97% average detection rate.

References

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S. Raghunathan et al., "The design and hardware implementation of a low-power real-time seizure detection Algorithm", J. Neural Engineering, 2009, Vol 6, pp. 056005.
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D. K. Binder et al., "Recent advances in epilepsy research", Ch 17, Kluwer Academic/Plenum, 2004.
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Stéphane Mallat, "A wavelet tour of signal processing", Academic Press, 1999.
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M.K. Kiymik et al. "Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application", Computers in Biology and Medicine, 2005 Vol 35, Issue 7, pp. 603--616.
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I. Osorio et al. "Real-time detection, quantification, warning, and control of epileptic seizures: The foundations for a scientific epileptology", Epilepsy & Behavior, 2009, Vol 16, Issue 3, pp. 391--396.
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A. Berdakh et al, "Epileptic Seizures Detection using Continuous Time Wavelet Based Artificial Neural Networks", Sixth International Conference on Information Technology, 2009.
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J. Aziz et al., "Towards real time in-implant epileptic seizure prediction", Proc. 28th IEEE EMBS Annual International Conference, 2006, pp. 5476--5479.
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C. Souani et al, "VLSI design of 1-D DWT architecture with parallel filters", Integration, the VLSI journal, 2000, Vol 29, Issue 2, pp. 181--207.
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G. Karakonstantis et al., "An optimal algorithm for low power multiplier-less FIR filter design using Chebychev criterion", IEEE ICASSP, 2007, Vol 2, pp. II-49-II-52.
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Cited By

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  • (2019)An Energy Efficient AdaBoost Cascade Method for Long-Term Seizure Detection in Portable NeurostimulatorsIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2019.294742627:11(2274-2283)Online publication date: Nov-2019
  • (2016)Low-Power System for Detection of Symptomatic Patterns in Audio Biological SignalsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2016.252186924:8(2679-2688)Online publication date: Aug-2016
  • (2016)Avoiding event driven energy drainage in wireless acoustic sensor nodes for security application2016 International Conference on Communication and Signal Processing (ICCSP)10.1109/ICCSP.2016.7754522(1991-1996)Online publication date: Apr-2016
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  1. Low-power DWT-based quasi-averaging algorithm and architecture for epileptic seizure detection

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    cover image ACM Conferences
    ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
    August 2010
    458 pages
    ISBN:9781450301466
    DOI:10.1145/1840845
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 18 August 2010

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    Author Tags

    1. biomedical
    2. epilepsy
    3. low power
    4. seizure detection

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    View all
    • (2019)An Energy Efficient AdaBoost Cascade Method for Long-Term Seizure Detection in Portable NeurostimulatorsIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2019.294742627:11(2274-2283)Online publication date: Nov-2019
    • (2016)Low-Power System for Detection of Symptomatic Patterns in Audio Biological SignalsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2016.252186924:8(2679-2688)Online publication date: Aug-2016
    • (2016)Avoiding event driven energy drainage in wireless acoustic sensor nodes for security application2016 International Conference on Communication and Signal Processing (ICCSP)10.1109/ICCSP.2016.7754522(1991-1996)Online publication date: Apr-2016
    • (2016)Balancing accuracy, delay and battery autonomy for pervasive seizure detection2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2016.7592179(6343-6348)Online publication date: Aug-2016
    • (2015)Low-Energy Two-Stage Algorithm for High Efficacy Epileptic Seizure DetectionIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2014.230279823:1(208-212)Online publication date: Jan-2015
    • (2015)Near-Threshold Energy- and Area-Efficient Reconfigurable DWPT/DWT Processor for Healthcare-Monitoring ApplicationsIEEE Transactions on Circuits and Systems II: Express Briefs10.1109/TCSII.2014.236279162:1(70-74)Online publication date: Jan-2015
    • (2014)Cross-Hierarchy Design Exploration for Implantable ElectronicsImplantable Bioelectronics10.1002/9783527673148.ch5(65-85)Online publication date: 7-Mar-2014
    • (2012)A low-power "near-threshold" epileptic seizure detection processor with multiple algorithm programmabilityProceedings of the 2012 ACM/IEEE international symposium on Low power electronics and design10.1145/2333660.2333725(285-290)Online publication date: 30-Jul-2012
    • (2012)Low-Power Architecture for Epileptic Seizure Detection Based on Reduced Complexity DWTACM Journal on Emerging Technologies in Computing Systems10.1145/2180878.21808828:2(1-14)Online publication date: 1-Jun-2012
    • (2012)A 9.87 nW 1 kS/s 8.7 ENOB SAR ADC for implantable epileptic seizure detection microsystems2012 IEEE Asia Pacific Conference on Circuits and Systems10.1109/APCCAS.2012.6418956(1-4)Online publication date: Dec-2012
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