title: A wrist-worn biosensor system for assessment of neurological status.
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.
authors.forename: D
authors.initials: D
authors.lastname: Cogan
authors.forename: M Baran
authors.initials: MB
authors.lastname: Pouyan
authors.forename: M
authors.initials: M
authors.lastname: Nourani
authors.forename: J
authors.initials: J
authors.lastname: Harvey
mesh_terms: D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology* / Q000523:psychology; D006801:Humans; D008991:Monitoring, Physiologic; D012680:Sensitivity and Specificity; D013312:Stress, Physiological; D013315:Stress, Psychological / Q000175:diagnosis / Q000503:physiopathology; D014953:Wrist