A review of approaches for sleep quality analysis
Sleep quality is directly related to overall wellness and can reveal symptoms of several
diseases. However, the term “sleep quality” still lacks a definitional consensus and is …
diseases. However, the term “sleep quality” still lacks a definitional consensus and is …
Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges
Background and objectives: Sleep quality is associated with wellness, and its assessment
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
Automatic sleep-stage scoring in healthy and sleep disorder patients using optimal wavelet filter bank technique with EEG signals
Sleep stage classification plays a pivotal role in effective diagnosis and treatment of sleep
related disorders. Traditionally, sleep scoring is done manually by trained sleep scorers. The …
related disorders. Traditionally, sleep scoring is done manually by trained sleep scorers. The …
Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
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 …
analysis. However, this method is tedious, time-consuming, prone to human errors, and …
CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signals
Abstract The Cyclic Alternating Pattern (CAP) can be considered a physiological marker of
sleep instability. The CAP can examine various sleep-related disorders. Certain short events …
sleep instability. The CAP can examine various sleep-related disorders. Certain short events …
Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural network
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 …
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
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 …
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
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 …
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
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 …
sleep health'is an important indicator of the overall health of an individual. Non‐invasive …
Automated explainable detection of cyclic alternating pattern (cap) phases and sub-phases using wavelet-based single-channel eeg signals
Sleep is a crucial component of health and well-being. It maintains the metabolism of the
body and covers one-third of total life. The assessment of sleep quality is typically done by …
body and covers one-third of total life. The assessment of sleep quality is typically done by …