Type

Journal Article

Authors

Chris Bleakley
Kunjan Patel

Subjects

Computer Science

Topics
seizure detection real time low energy biosignal processing coarse grained reconfigurable architecture low power real time monitoring ambulatory monitoring

Coarse Grained Reconfigurable Array Based Architecture for Low Power Real Time Seizure Detection (2015)

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.
Collections Ireland -> University College Dublin -> College of Science
Ireland -> University College Dublin -> School of Computer Science
Ireland -> University College Dublin -> Computer Science Research Collection

Full list of authors on original publication

Chris Bleakley, Kunjan Patel

Experts in our system

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Chris Bleakley
University College Dublin
Total Publications: 105