Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal-Reference-Cited by-同舟云学术

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal

Published:2022 Issue: Volume:10 Page:108710-108721
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tripathi Pragati¹^ORCID,Ansari M. A.¹,Gandhi Tapan Kumar²,Mehrotra Rajat³^ORCID,Heyat Md Belal Bin⁴^ORCID,Akhtar Faijan⁵,Ukwuoma Chiagoziem C.⁶^ORCID,Muaad Abdullah Y.⁷,Kadah Yasser M.⁸^ORCID,Al-Antari Mugahed A.⁹^ORCID,Li Jian Ping⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, Greater Noida, Gautam Buddha University, Uttar Pradesh, India

2. Department of Electrical Engineering, Indian Institute of Technology Delhi, Delhi, India

3. Department of Electrical Engineering, G.L. Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

4. IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

5. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

6. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China

7. Department of Studies in Computer Science, University of Mysore, Mysuru, Karnataka, India

8. Electrical and Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

9. Department of Artificial Intelligence, Daeyang AI Center, College of Software and Convergence Technology, Sejong University, Seoul, Republic of Korea

Funder

National Research Foundation of Korea (NRF) Grant

Korea Government [Ministry of Science and ICT (MSIT)]

Sejong University Industry-University Cooperation Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09917483.pdf?arnumber=9917483

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