Identification of Anesthesia Stages from EEG Signals using Wavelet Entropy and Backpropagation Neural Network

Identification of Anesthesia Stages from EEG Signals using Wavelet Entropy and Backpropagation Neural Network

Ahmed Abdal Shafi Rasel

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α Stamford University Bangladesh

Identification of Anesthesia Stages from EEG Signals using Wavelet Entropy and Backpropagation Neural Network

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Ahmed Abdal Shafi Rasel. 2019. \u201cIdentification of Anesthesia Stages from EEG Signals using Wavelet Entropy and Backpropagation Neural Network\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D1): .

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GJCST Volume 19 Issue D1
Pg. 17- 20

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification: I.5.1

Submission ReceivedDecember 13, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

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v1.2

Issue date

March 26, 2019

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Article Matrices

Total Score: 101

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Ahmed Abdal Shafi Rasel (PhD/Dr. count: 0)

View Count (all-time): 275

Total Views (Real + Logic): 5213

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Publish Date: 2019 03, Tue

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Total Views: 5213

Total Downloads: 1416

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