Automated Identification of Cyclic Alternating Patterns of Sleep Using Fusion of VGG16 and Vision Transformer

Automated Identification of Cyclic Alternating Patterns of Sleep Using Fusion of VGG16 and Vision Transformer

Sleep plays a crucial role in human health and significantly impacting physical and mental well-being. An automated system is crucially needed to identify Cyclic Alternating Pattern (CAP) phases A and B, which are pivotal in assessing sleep depth and stability, enhancing the understanding of sleep a...

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Bibliographic Details
Main Authors: Hardik Telangore, Ashutosh Kumar Jha, Prithviraj Verma, Manish Sharma, Chakka Sabareesh, Ankit A. Bhurane, Hasan S. Mir, U. Rajendra Acharya
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Continuous wavelet transform (CWT)
convolutional neural network (CNN)
cyclic alternating patterns (CAP)
deep learning
electroencephalogram (EEG)
VGG-16
Online Access:https://ieeexplore.ieee.org/document/11006687/
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