A wrist-worn biosensor system for assessment of neurological status

D. Cogan, M. Baran Pouyan, M. Nourani, J. Harvey

Research output: Contribution to journalArticle

Abstract

EEG based monitoring for the purpose of assessing a patient's neurological status is conspicuous and uncomfortable at best. We are analyzing a set of physiological signals that may be monitored comfortably by a wrist worn device. We have found that these signals and machine based classification allows us to accurately discriminate among four stress states of individuals. Further, we have found a clear change in these signals during the 70 minutes preceding a single convulsive epileptic seizure. Our classification accuracy on all data has been greater than 90% to date.

ASJC Scopus subject areas

  • Medicine(all)

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