The Algorithm Research and Methods of a Computerized Automated Eeg Analysis System

In the paper a knowledge-based system is described to eliminate artifacts in the automated analysis of EEG. The recognition method of EEG artifacts and Epileptogenic spikes are discussed with emphasis. The system makes use of time domain analysis to reject the artifacts ,recognizes Epileptogenic spikes by waveform analysis and makes a preliminary diagnosis. The preliminary result shows :the preprocessing is simple,the waveform feature is easy to be extracted,artifacts that often found in EEG can be recognized,and Epileptogenic spikes can be correctly detected at proper speed.