Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals-Reference-Cited by-同舟云学术

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG Signals

Published:2023 Issue: Volume:11 Page:50946-50961
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sharma Manish¹,Lodhi Harsh¹^ORCID,Yadav Rishita¹,Sampathila Niranjana²^ORCID,Swathi K. S.³^ORCID,Acharya U. Rajendra⁴

Affiliation:

1. Department of Electrical and Computer Science Engineering, Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, India

2. Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), Manipal, India

3. Prasanna School of Public Health, Manipal Academy of Higher Education (MAHE), Manipal, India

4. School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield Central, QLD, Australia

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/ielx7/6287639/10005208/10132390.pdf?arnumber=10132390

Reference62 articles.

1. Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

2. Automatic A-Phase Detection of Cyclic Alternating Patterns in Sleep Using Dynamic Temporal Information

3. Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection

4. Matrix of lags: A tool for analysis of multiple dependent time series applied for CAP scoring;mendonça;Comput Methods Programs Biomed,2020

5. Characterization of cyclic alternating pattern during sleep in older men and women using large population studies

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