A compressed-domain processor for seizure detection to simultaneously reduce computation and communication energy

Mohammed Shoaib, Niraj K. Jha, Naveen Verma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Scopus citations

Abstract

In low-power sensing systems, communication constraints play a critical role; e.g., biomedical devices often acquire physiological signals from distributed sources and/or wireless implants. Compressive sensing enables sub-Nyquist sampling for low-energy data reduction on such nodes. The reconstruction cost, however, is severe, typically pushing signal analysis to a base station. We present a seizure-detection processor that directly analyzes compressively-sensed electroencephalograms (EEGs) on the sensor node. In addition to alleviating communication costs while also circumventing reconstruction costs, it leads to computational energy savings, due to the reduced number of input samples. This provides an effective knob for system power management and enables scaling of energy and application-level performance. For compression factors of 2-24x, the energy to extract signal features (over 18 channels) is 7.13-0.11/iJ, and the detector's performance for sensitivity, latency, and specificity is 96-80%, 4.7-17.8 sec, and 0.15-0.79 false-alarms/hr., respectively (compared to baseline performance of 96%, 4.6 sec, and 0.15 false-alarms/hr.).

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 2012 Custom Integrated Circuits Conference, CICC 2012
DOIs
StatePublished - Nov 26 2012
Event34th Annual Custom Integrated Circuits Conference, CICC 2012 - San Jose, CA, United States
Duration: Sep 9 2012Sep 12 2012

Publication series

NameProceedings of the Custom Integrated Circuits Conference
ISSN (Print)0886-5930

Other

Other34th Annual Custom Integrated Circuits Conference, CICC 2012
CountryUnited States
CitySan Jose, CA
Period9/9/129/12/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Shoaib, M., Jha, N. K., & Verma, N. (2012). A compressed-domain processor for seizure detection to simultaneously reduce computation and communication energy. In Proceedings of the IEEE 2012 Custom Integrated Circuits Conference, CICC 2012 [6330601] (Proceedings of the Custom Integrated Circuits Conference). https://doi.org/10.1109/CICC.2012.6330601