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Subject Keyword Abstract Author
 
 
Multi-Valued Decision Making for Transitional Stochastic Event: Determination of Sleep Stages through EEG Record

Masatoshi Nakamura/Takenao Sugi
Transaction on Control Automation, and Systems Engineering, vol. 4, no. 3, pp.239-243, 2002

Abstract : Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of knowledge database which included experts' knowledge and experience. The proposed multi-valued decision making was successfully adopted to the determination of the five levels of the vigilance of a subject during the EEG (electroencephalogram) recording; awake stage (stage W), and sleep stages (stage REM (rapid eye movement), stage 1, stage 2, stage 3/4). Innovative feature of the proposed method is that the algorithm of decision making can be constructed only by use of the knowledge database, inspected by experts. The proposed multi-valued decision making with a mathematical background of the probability can also be applicable widely, in industries and in other medical fields for purposes of the multi-valued decision making

Keyword : Sleep Stages, Multi-Valued Decision Making, Transitional Stochastic Event

 
 
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