Automated Spike Detection in EEG

For a long time clinicians have wanted a reliable device to analyze EEG records so as to reduce the time needed to review these records. As computers became more accessible to individual clinicians and engineers it became possible in the 1970s to digitize the analog EEG and write programs to detect features such as epileptiform activity ("spikes") in the record. Jean Gotman was one of the first to develop such a program (Gotman et al. 1975). The 70s saw several further refinements to automated EEG analysis, but automated analysis did not get into general use due to a high false positive rate and the lack of a commonly accepted standard as to what an EEG spike is, at least a standard that a computer could understand and implement.

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