Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alternating Patterns Using Wavelet Transforms

Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alternating Patterns Using Wavelet Transforms

Cyclic Alternating Pattern (CAP) is a sleep instability marker defined based on the amplitude and frequency of the electroencephalogram signal. Because of the time and intensive process of labeling the data, different machine learning and automatic approaches are proposed. However, due to the low ac...

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Bibliographic Details
Main Authors: Ankit Gupta, Fábio Mendonça, Sheikh Shanawaz Mostafa, Antonio G. Ravelo-García, Fernando Morgado-Dias
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Electronics
Subjects:
continuous wavelet transform
cyclic alternating patterns
deep learning
electroencephalogram
signal processing
Online Access:https://www.mdpi.com/2079-9292/12/13/2954

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https://www.mdpi.com/2079-9292/12/13/2954

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