Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection
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|Title:||Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection||Authors:||Patel, Kunjan
Bleakley, Chris J.
|Permanent link:||http://hdl.handle.net/10197/7026||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 architecture; Biosignal processing; Low energy; Seizure detection; Ambulatory 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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