Development of Automatic Scoring System for Sleep EEG Using Fuzzy Logic
Yoichi Tsuji, Takefumi Usui, Yasuhisa Sato and Kazuyuki Nagasawa
Department of Electrical Engineering, Ashikaga Institute of Technology, Omae 268-1, Ashikaga, Tochigi 326, Japan
Determination of the EEG sleep stages by clinicians is a time consuming task, because of a great amount of record obtained during one night. Therefore, an effective computer technique for an automatic processing EEG is strongly desired. We tried to make an automatic scoring system for human sleep EEG stages by a computer. The specific EEG wave form (e.g. delta, theta, alpha or spindle wave) was detected by means of a specific algorithm using a Fuzzy logic and an “if…then…” procedure. The scoring results by this system and clinicians agreed with each epoch more than 72%. This system is an available system for the clinical sleep EEG.
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