Transactions on Control, Automation and Systems Engineering

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Multi-Valued Decision Making for Transitional Stochastic Event: Determination of Sleep Stages Through EEG Record

  • Nakamura, Masatoshi (Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University) ;
  • Sugi, Takenao (Department of Electrical and Electronic Engineering, Faculty of Science and Engineering Saga University)
  • Published : 2002.09.01
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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 $\sfrac{3}{4}$). 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.

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References

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