NDLI: An Implantable Seizure-Onset Detector Based on a Dual-Path Single-Window Count-Based Technique for Closed-Loop Applications

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An Implantable Seizure-Onset Detector Based on a Dual-Path Single-Window Count-Based Technique for Closed-Loop Applications

Content Provider	IEEE Xplore Digital Library
Author	Safi-Harb, M. Salam, M. T. Nguyen, D. K. Sawan, M.
Copyright Year	2011
Abstract	In this paper, we present a single voltage-window count-based seizure onset detection algorithm and its associated hardware implementation. The proposed algorithm combines the advantages associated with voltage-window count-based and event-based threshold-voltage detections. The result is an algorithm that is more tolerant to noise, dc offsets, baseline energy variations, and seconds-long nonseizure related sharp activities. In addition, only one parameter (one threshold voltage) needs to be optimized per patient, and for that, only one seizure per patient is used for training, making the process of optimizing the patient-specific detector a simple task. The time evaluation period when counting is performed is kept constant across all patients studied, and is fixed at 5 s in this work. A novel dual path digital signal processing unit in the back-end of the detector is included and is shown to decrease the detection latency by 14%. Experimental results on a printed circuit board using commercially available discrete components confirm the correct functionality of the proposed detector. The proposed algorithm achieves 100% sensitivity, 10.7 s average detection delay, and a single false alarm when evaluated on a total of 25 seizures and 24 nonseizure datasets of intracerebral electroencephalographic (icEEG) recordings from five patients from the epilepsy monitoring unit of Notre-Dame Hospital in Montréal. In addition, monolithic integration of the overall system, including bio-amplification and comparison, is also carried out in a TSMC 0.18-$\mu$ m complementary metal–oxide–semiconductor technology. Simulations show that a static power dissipation of 7 $\mu {\rm W}$, 99% of which is consumed by the front-end bio-amplifier, is achieved, showing the potential of using the proposed seizure detector in a closed-loop brain–prosthesis device interface for seizure control and treatment.
Starting Page	603
Ending Page	612
Page Count	10
File Size	1279805
File Format	PDF
ISSN	21563357
Volume Number	1
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Threshold voltage Closed loop systems Brain computer interfaces Implantable biomedical devices Signal processing algorithms Algorithm design and analysis Epilepsy seizure detection Analysis of neural signals brain–machine interface (BMI) epilepsy implantable systems neural engineering neurological disorder
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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