Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement

• Published in: Medical engineering & physics Vol. 130; p. 104208
• Main Authors: Ingle, Manisha, Sharma, Manish, Verma, Shresth, Sharma, Nishant, Bhurane, Ankit, Rajendra Acharya, U.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.08.2024
• Subjects: Aged; Automation; Female; Humans; Male; Middle Aged; Nocturnal Myoclonus Syndrome - diagnosis; Nocturnal Myoclonus Syndrome - physiopathology; Polysomnography; Signal Processing, Computer-Assisted; Sleep - physiology; Sleep Apnea Syndromes - diagnosis; Sleep Apnea Syndromes - physiopathology; Sleep Initiation and Maintenance Disorders - diagnosis; Sleep Initiation and Maintenance Disorders - physiopathology; Sleep Stages; Wavelet Analysis

Sleep is an integral and vital component of human life, contributing significantly to overall health and well-being, but a considerable number of people worldwide experience sleep disorders. Sleep disorder diagnosis heavily depends on accurately classifying sleep stages. Traditionally, this classifi...