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  5. Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection
 
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Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection

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Author(s)
Patel, Kunjan 
Bleakley, Chris J. 
Uri
http://hdl.handle.net/10197/7026
Date Issued
2015
Date Available
07T02:00:14Z March 2016
Abstract
There is increasing research and commercial interest in miniature on-body and implantable devices for continuous real-time biosignal monitoring. A key challenge in realizing this vision is in implementation of biosignal processing algorithms with acceptably low energy consumption. In this article, we investigate implementation of the REACT algorithm for real-time epileptic seizure detection on a Coarse Grained Reconfigurable Array (CGRA) based architecture. Computationally expensive biosignal processing tasks are offloaded from a conventional Digital Signal Processor (DSP) to the CGRA. The CGRA is designed to support low power biosignal processing by means of a systolic architecture, flexible interconnect and low resource usage. The CGRA architecture is shown to provide 38% and 60% improvements in energy consumption and in performance, respectively, for the REACT system, without the use of voltage scaling or increased clock frequency.
Sponsorship
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Springer
Journal
Journal of Signal Processing Systems
Volume
82
Issue
1
Start Page
55
End Page
68
Copyright (Published Version)
2015 Springer Science+Business Media New York
Keywords
  • Coarse grained reconf...

  • Biosignal processing

  • Low energy

  • Seizure detection

  • Ambulatory monitoring...

DOI
10.1007/s11265-015-0981-9
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
5
Acquisition Date
Jan 24, 2023
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Views
1447
Acquisition Date
Jan 26, 2023
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Downloads
493
Acquisition Date
Jan 26, 2023
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