EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery-Reference-Cited by-同舟云学术

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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery

Published:2016-12-19 Issue:8 Volume:55 Page:1435-1450
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Liu Quan,Chen Yi-Feng,Fan Shou-Zen,Abbod Maysam F.,Shieh Jiann-Shing

Funder

Ministry of Science and Technology

Chung-Shan Institute of Science and Technology

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s11517-016-1598-2/fulltext.html

Reference54 articles.

1. Alvarez A, Sampedro C, Laredo M, Couceiro V, Perez P, Cacabelos R et al (2003) Effects of Cerebrolysin on quantitative EEG activity in elderly controls and in patients with brain damage. Eur Neuropsychopharmacol 13:400–401

2. Aminghafari M, Cheze N, Poggi J-M (2006) Multivariate denoising using wavelets and principal component analysis. Comput Stat Data Anal 50:2381–2398

3. Aurlien H, Gjerde IO, Aarseth JH, Eldoen G, Karlsen B, Skeidsvoll H et al (2004) EEG background activity described by a large computerized database. Clin Neurophysiol 115:665–673

4. Bajaj V, Pachori RB (2013) Automatic classification of sleep stages based on the time-frequency image of EEG signals. Comput Methods Programs Biomed 112:320–328

5. Boudraa A-O, Cexus J-C (2007) EMD-based signal filtering. IEEE Trans Instrum Meas 56:2196–2202

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