Title :
Detecting Seizure Onset in the Ambulatory Setting: Demonstrating Feasibility
Author :
Shoeb, Ali ; Schachter, Steven ; Schomer, Donald ; Bourgeois, Blaise ; Treves, S.T. ; Guttag, John
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Boston, MA
Abstract :
Ambulatory EEG recorders are commercially available. The majority of these recorders are only capable of capturing and storing EEG for later review by clinicians. A few models are equipped with real-time seizure event detectors, but these detectors make no guarantees on when during a seizure a detection is made. This renders current ambulatory EEG recorders unsuitable for activating alarms or initiating therapies to acutely impact seizure progression in the ambulatory setting. Integrating seizure onset detectors into existing ambulatory recorders will make these applications feasible. Successful integration requires that these detectors be executable on the resource-limited digital signal processors found within ambulatory recorders. In this paper we describe the integration of a patient-specific seizure onset detector with a commercially available ambulatory EEG recorder, and demonstrate how such integration could enable the detection of seizure onset in the ambulatory setting
Keywords :
electric sensing devices; electroencephalography; medical signal detection; medical signal processing; ambulatory EEG recorders; ambulatory setting; patient-specific seizure onset detector; real-time seizure event detectors; resource-limited digital signal processors; seizure onset detection; Brain modeling; Detectors; Digital signal processors; Electroencephalography; Epilepsy; Event detection; Hospitals; Medical treatment; Nervous system; Pediatrics;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617245