Title :
EEG waveform analysis using CaseNet
Author :
Eberhart, R.C. ; Dobbins, R.W. ; Webber, W.R.S.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Abstract :
CaseNet, a neural-network-based tool for the analysis and classification of EEG waveforms, is described. The development of CaseNet, and of the EEG signal preprocessing procedures required to use CaseNet for multichannel epileptiform spike detection are reviewed. Results using CaseNet to detect epileptiform spikes in a four-channel offline system are presented. The spike detection work described is part of a larger cooperative program. Program goals include online spike detection and online seizure prediction and detection
Keywords :
computerised signal processing; electroencephalography; medical computing; neural nets; waveform analysis; 4-channel offline system; CaseNet; EEG waveform analysis; cooperative program; multichannel epileptiform spike detection; neural-network-based tool; seizure detection; seizure prediction; signal preprocessing procedures; Biological neural networks; Collaborative work; Electroencephalography; Epilepsy; Hospitals; Laboratories; Nervous system; Neural networks; Physics; Signal analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96587
