有哪些信誉好的足球投注网站adaptive computation of multiscale entropy and its application in eeg signals for monitoring depth of anesthesia during surgery自适应多尺度熵的计算及其应用在手术过程中麻醉深度监测脑电图信号.pdfVIP
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adaptive computation of multiscale entropy and its application in eeg signals for monitoring depth of anesthesia during surgery自适应多尺度熵的计算及其应用在手术过程中麻醉深度监测脑电图信号
Entropy 2012, 14, 978-992; doi:10.3390/
OPEN ACCESS
entropy
ISSN 1099-4300
/journal/entropy
Article
Adaptive Computation of Multiscale Entropy and Its
Application in EEG Signals for Monitoring Depth of Anesthesia
During Surgery
Quan Liu 1, Qin Wei 1, Shou-Zen Fan 2, Cheng-Wei Lu 3,5, Tzu-Yu Lin 3,5, Maysam F. Abbod 4
and Jiann-Shing Shieh 5,*
1 School of Information Engineering, Wuhan University of Technology, Wuhan, 430070, China;
E-Mails: quanliu@ (Q.L.); zivaw2010@ (Q.W.)
2 Department of Anesthesiology, College of Medicine, National Taiwan University, Taipei, 100,
Taiwan; E-Mail: shouzen@
3 Department of Anesthesiology, Far Eastern Memorial Hospital, Ban-Chiao, 220, Taiwan;
E-Mails: drluchengwei@ (C.-W.L.); drlin1971@ (T.-Y.L.)
4 School of Engineering and Design, Brunel University, London, UB8 3PH, UK;
E-Mail: maysam.abbod@brunel.ac.uk
5 Department of Mechanical Engineering, Yuan Ze University, Taoyuan, Chung-Li, 32003, Taiwan
* Author to whom correspondence should be addressed; E-Mail: jsshieh@.tw;
Tel.: +886-3-463-8800 (ext. 2470); Fax: +886-3-455-8013.
Received: 29 March 2012; in revised form: 9 May 2012 / Accepted: 21 May 2012 /
Published: 25 May 2012
Abstract: 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 processed signal is a problem due to observing the
variati
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