Sleep staging automaton based on the theory of evidence.
Sleep staging automaton based on the theory of evidence.
复制标题
基于证据理论的睡眠分期自动机。
DOI：
10.1109/10.24251
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
Chang,TG
中科院分区：
文献类型：
--
作者：
Principe,JC;Gala,SK;Chang,TG
The authors address sleep staging as a medical decision problem. They develop a model for automated sleep staging by combining signal information, human heuristic knowledge in the form of rules, and a mathematical framework. The EEG/EOG/EMG (electroencephalogram/electroculogram/electromyogram) events relevant for sleep staging are detected in real time by an existing front-end system and are summarized per minute. These token data are translated, normalized and constitute the input alphabet to a finite-state machine (automaton). The processed token events are used as partial belief in a set of anthropomimetic rules, which encode human knowledge about the occurrence of a particular sleep stage. The Dempster-Shafer theory of evidence weighs the partial beliefs and attributes the minute sleep stage to the machine state transition that displays the highest final belief. Results are briefly presented.<>
