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

Title: Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection
Authors: Patel, Kunjan
Bleakley, Chris J.
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Date: 2015
Online since: 2016-03-07T02:00:14Z
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.
Funding Details: 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 reconfigurable architectureBiosignal processingLow energySeizure detectionAmbulatory monitoring
DOI: 10.1007/s11265-015-0981-9
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection

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