Relative Wave Energy based Adaptive Neuro-Fuzzy Inference System model for the Estimation of Depth of Anaesthesia-Reference-Cited by-同舟云学术

Relative Wave Energy based Adaptive Neuro-Fuzzy Inference System model for the Estimation of Depth of Anaesthesia

Published:2018-02-07 Issue:1 Volume:17 Page:69-82
ISSN:1757-448X
Container-title:Journal of Integrative Neuroscience
language:
Short-container-title:JIN

Author:

Benzy V.K.¹,Jasmin E.A.¹,Koshy Rachel Cherian²,Amal Frank³,Indiradevi K.P.¹

Affiliation:

1. Department of Electrical Engineering, Govt. Engineering College, Thrissur, Kerala, India. E-mails: benzyvk@yahoo.com, eajasmin@gmail.com, indiradevikp@gmail.com

2. Department of Anaesthesiology, Regional Cancer Centre, Trivandrum, Kerala, India. E-mail: rachelrcc@yahoo.co.in

3. Department of Anaesthesiology, Railway Hospital, Palakkad, Kerala, India. E-mail: frankamal1975@rediffmail.com

Publisher

IOS Press

Subject

General Medicine,General Neuroscience

Reference28 articles.

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3. V.K. Benzy, E.A. Jasmin, R.C. Koshy and F. Amal, Wavelet entropy based classification of depth of anesthesia, in: Computational Techniques in Information and Communication Technologies (ICCTICT), 2016 International Conference on, IEEE, 2016, pp. 521–524.

4. T. Bilgiç and I.B. Türkşen, Measurement of membership functions: Theoretical and empirical work, in: Fundamentals of Fuzzy Sets, Springer, 2000, pp. 195–227.

5. Kruskal–Wallis one-way analysis of variance by ranks;Daniel;Applied Nonparametric Statistics,1990

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