title: Ambulatory REACT: real-time seizure detection with a DSP microprocessor.
abstract: REACT (Real-Time EEG Analysis for event deteCTion) is a Support Vector Machine based technology which, in recent years, has been successfully applied to the problem of automated seizure detection in both adults and neonates. This paper describes the implementation of REACT on a commercial DSP microprocessor; the Analog Devices Blackfin®. The primary aim of this work is to develop a prototype system for use in ambulatory or in-ward automated EEG analysis. Furthermore, the complexity of the various stages of the REACT algorithm on the Blackfin processor is analysed; in particular the EEG feature extraction stages. This hardware profile is used to select a reduced, platform-aware feature set, in order to evaluate the seizure classification accuracy of a lower-complexity, lower-power REACT system.
authors.affiliation: Department of Electrical & Electronic Engineering, University College Cork, Western Road, Ireland. robertmce@eleceng.ucc.ie
authors.forename: Robert P
authors.initials: RP
authors.lastname: McEvoy
authors.forename: Stephen
authors.initials: S
authors.lastname: Faul
authors.forename: William P
authors.initials: WP
authors.lastname: Marnane
mesh_terms: D000465:Algorithms; D003201:Computers; D004569:Electroencephalography / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D008838:Microcomputers; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D011381:Programming Languages; D012640:Seizures / Q000175:diagnosis*; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors