Conference Publication Details
Mandatory Fields
Temko, A;Sarkar, A;Lightbody, G
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Detection of Seizures in Intracranial EEG: UPenn and Mayo Clinic's Seizure Detection Challenge
2015
January
Validated
1
WOS: 10 ()
Optional Fields
6582
6585
A system for detection of seizures in intracranial EEG is presented that is based on a combination of generative, discriminative and hybrid approaches. We present a methodology to effectively benefit from the advantages each classifier offers. In particular, Gaussian mixture models, Support Vector Machines, hybrid likelihood ratio and Gaussian supervector approaches are developed and combined for the task. This system participated in the UPenn and Mayo Clinic's Seizure Detection Challenge, ranking in the top 5 of over 200 participants. The drawbacks of the proposed method with respect to the winning solutions are critically assessed.
Grant Details