Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges

M Sharma, H Lodhi, R Yadav, H Elphick… - Computer Methods and …, 2023 - Elsevier
Background and objectives: Sleep quality is associated with wellness, and its assessment
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …

A review of methods for sleep arousal detection using polysomnographic signals

X Qian, Y Qiu, Q He, Y Lu, H Lin, F Xu, F Zhu, Z Liu… - Brain sciences, 2021 - mdpi.com
Multiple types of sleep arousal account for a large proportion of the causes of sleep
disorders. The detection of sleep arousals is very important for diagnosing sleep disorders …

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network

HW Loh, CP Ooi, SG Dhok, M Sharma, AA Bhurane… - Applied …, 2022 - Springer
The visual sleep stages scoring by human experts is the current gold standard for sleep
analysis. However, this method is tedious, time-consuming, prone to human errors, and …

Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network

S Murarka, A Wadichar, A Bhurane, M Sharma… - Computers in Biology …, 2022 - Elsevier
Sleep contributes to more than a third of a person's life, making sleep monitoring essential
for overall well-being. Cyclic alternating patterns (CAP) are crucial in monitoring sleep …

Automated phase classification in cyclic alternating patterns in sleep stages using Wigner–Ville distribution based features

S Dhok, V Pimpalkhute, A Chandurkar… - Computers in Biology …, 2020 - Elsevier
Sleep is one of the most important body mechanisms responsible for the proper functioning
of human body. Cyclic alternating patterns (CAP) play an indispensable role in the analysis …

Automatic a-phase detection of cyclic alternating patterns in sleep using dynamic temporal information

S Hartmann, M Baumert - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
The identification of recurrent, transient perturbations in brain activity during sleep, so called
cyclic alternating patterns (CAP), is of significant interest as they have been linked to …

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features

M Sharma, AA Bhurane, UR Acharya - Expert Systems, 2024 - Wiley Online Library
Humans spend a significant portion of their time in the state of sleep, and therefore one's'
sleep health'is an important indicator of the overall health of an individual. Non‐invasive …

Towards automatic EEG cyclic alternating pattern analysis: a systematic review

F Mendonça, SS Mostafa, F Morgado-Dias… - Biomedical Engineering …, 2023 - Springer
This study conducted a systematic review to determine the feasibility of automatic Cyclic
Alternating Pattern (CAP) analysis. Specifically, this review followed the 2020 Preferred …

GTransU-CAP: Automatic labeling for cyclic alternating patterns in sleep EEG using gated transformer-based U-Net framework

J You, Y Ma, Y Wang - Computers in Biology and Medicine, 2022 - Elsevier
Cyclic alternating pattern (CAP) sequences are composed of cycles of alternate activation
phases (A-phases) and background phases. CAP A-phases can be further divided into three …

Automatic detection of cyclic alternating pattern

F Mendonça, A Fred, SS Mostafa… - Neural Computing and …, 2022 - Springer
The cyclic alternating pattern is a microstructure phasic event, present in the non-rapid eye
movement sleep, which has been associated with multiple pathologies, and is a marker of …