Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery

Adaptive Computation of Multiscale Entropy and Its Application in EEG Signals for Monitoring Depth of Anesthesia During Surgery

Entropy as an estimate of complexity of the electroencephalogram is an effective parameter for monitoring the depth of anesthesia (DOA) during surgery. Multiscale entropy (MSE) is useful to evaluate the complexity of signals over different time scales. However, the limitation of the length of proces...

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Bibliographic Details
Main Authors: Shou-Zen Fan, Cheng-Wei Lu, Jiann-Shing Shieh, Maysam F. Abbod, Tzu-Yu Lin, Qin Wei, Quan Liu
Format: Article
Language:English
Published: MDPI AG 2012-05-01
Series:Entropy
Subjects:
multiscale entropy
electroencephalography
depth of anesthesia
adaptive resampling procedure
Online Access:http://www.mdpi.com/1099-4300/14/6/978

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http://www.mdpi.com/1099-4300/14/6/978

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