research-article

Implantable Closed-Loop Epilepsy Prosthesis: Modeling, Implementation and Validation

Authors:

Muhammad Tariqus Salam,

Dang Khoa NguyenAuthors Info & Claims

ACM Journal on Emerging Technologies in Computing Systems (JETC), Volume 8, Issue 2

Article No.: 9, Pages 1 - 18

https://doi.org/10.1145/2180878.2180881

Published: 01 June 2012 Publication History

Abstract

In this article, we present an implantable closed-loop epilepsy prosthesis, which is dedicated to automatically detect seizure onsets based on intracerebral electroencephalographic (icEEG) recordings from intracranial electrode contacts and provide an electrical stimulation feedback to the same contacts in order to disrupt these seizures. A novel epileptic seizure detector and a dedicated electrical stimulator were assembled together with common recording electrodes to complete the proposed prosthesis. The seizure detector was implemented in CMOS 0.18-μm by incorporating a new seizure detection algorithm that models time-amplitude and -frequency relationship in icEEG. The detector was validated offline on ten patients with refractory epilepsy and showed excellent performance for early detection of seizures. The electrical stimulator, used for suppressing the developing seizure, is composed of two biphasic channels and was assembled with embedded FPGA in a miniature PCB. The stimulator efficiency was evaluated on cadaveric animal brain tissue in an in vitro morphologic electrical model. Spatial characteristics of the voltage distribution in cortex were assessed in an attempt to identify optimal stimulation parameters required to affect the suspected epileptic focus. The experimental results suggest that lower frequency stimulation parameters cause significant amount of shunting of current through the cerebrospinal fluid; however higher frequency stimulation parameters produce effective spatial voltage distribution with lower stimulation charge.

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Cited By

Min AMiller WRocha LBörner KBrattig Correia RShih P(2021)Just In TimeProceedings of the ACM on Human-Computer Interaction10.1145/34491875:CSCW1(1-24)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449187
Xia LSoltan ALuo JChester GDegenaar P(2018)A Rodent Flash FPGA Control System for Closed-loop Optogenetic Stimulation to Suppress Seizures2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)10.1109/NANO.2018.8626342(1-4)Online publication date: Jul-2018
https://doi.org/10.1109/NANO.2018.8626342

Index Terms

Implantable Closed-Loop Epilepsy Prosthesis: Modeling, Implementation and Validation
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

cover image ACM Journal on Emerging Technologies in Computing Systems

ACM Journal on Emerging Technologies in Computing Systems Volume 8, Issue 2

Special Issue on Implantable Electronics

June 2012

94 pages

ISSN:1550-4832

EISSN:1550-4840

DOI:10.1145/2180878

Issue’s Table of Contents

Copyright © 2012 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 01 June 2012

Accepted: 01 September 2011

Revised: 01 August 2011

Received: 01 March 2011

Published in JETC Volume 8, Issue 2

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Cited By

Min AMiller WRocha LBörner KBrattig Correia RShih P(2021)Just In TimeProceedings of the ACM on Human-Computer Interaction10.1145/34491875:CSCW1(1-24)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449187
Xia LSoltan ALuo JChester GDegenaar P(2018)A Rodent Flash FPGA Control System for Closed-loop Optogenetic Stimulation to Suppress Seizures2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO)10.1109/NANO.2018.8626342(1-4)Online publication date: Jul-2018
https://doi.org/10.1109/NANO.2018.8626342

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