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Our intent is to develop a wearable system that will detect seizures, alert a caregiver and record the time of seizure in an electronic diary for the patient\u2019s physician. Stage I looks for concurrent activity in heart rate, arterial oxygenation and electrodermal activity, all of which can be monitored by a wrist-worn device and which in combination produce a very low false positive rate. Stage II looks for a specific pattern created by these three biosignals. For the patients whose seizures cannot be detected by Stage II, Stage III detects seizures using limited-channel electroencephalogram (EEG) monitoring with at most three electrodes. Out of 10 patients, Stage I recognized all 11 seizures from seven patients, Stage II detected all 10 seizures from six patients and Stage III detected all of the seizures of two out of the three patients it analyzed.<\/jats:p>","DOI":"10.1142\/s0129065716500313","type":"journal-article","created":{"date-parts":[[2016,4,7]],"date-time":"2016-04-07T08:37:22Z","timestamp":1460018242000},"page":"1650031","source":"Crossref","is-referenced-by-count":109,"title":["Multi-Biosignal Analysis for Epileptic Seizure Monitoring"],"prefix":"10.1142","volume":"27","author":[{"given":"Diana","family":"Cogan","sequence":"first","affiliation":[{"name":"Quality of Life Technology Laboratory, Department of Electrical Engineering, University of Texas at Dallas, 800 W. 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