Title :
Automatic Analysis and Detection of EEG Spikes
Author_Institution :
Department of Electrical Engineering, University of Florida, Gainesville, Fla.
Abstract :
A method for detecting spikes in the EEG is described. A digital computer is used to perform a detailed analysis of abnormal spikes to obtain quantitative values for spike characteristics and to determine the parameter values to be used in a special-purpose spike detector. This detector is described together with application results.
Keywords :
Application software; Automation; Computer aided analysis; Detectors; Electroencephalography; Epilepsy; Event detection; Matched filters; Pathological processes; Performance analysis; Adult; Automation; Computers; Diagnosis, Computer-Assisted; Electroencephalography; Epilepsy; Epilepsy, Temporal Lobe; Female; Humans; Male;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1974.324354
