A system of detecting epileptic seizure waveform based on coefficient in multi-frequency bands from electroencephalogram signals using feature extraction method with probabilistic model and machine learning

摘要

The present invention relates to a system for detecting an epilepsy seizure wave based on a multi-frequency band coefficient of an electroencephalogram signal using feature extraction with a probability model and machine learning, which exhibits accurate detection performance. The system of the present invention comprises: an electroencephalogram input unit for receiving an electroencephalogram signal; a signal preprocessing unit; a feature extracting unit for generating a feature vector; a codebook generating unit for generating a codebook; a classified model generation unit for generating at least one classified model; and a classification unit for classifying a seizure state.