Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …

Background The past few years have seen a rapid emergence of artificial intelligence (AI)-
enabled technology in the field of sleep medicine. AI refers to the capability of computer …

The market for smartphones, smartwatches, and wearable devices is booming. In recent
years, individuals and researchers have used these devices as additional tools to monitor …

This paper reviewed the Application of Digital Signal Processing (DPS) and Machine
Learning (ML) for Electromyography (EMG) by previous studies. There is a need of the DSP …

This thesis investigated the use of consumer wearable devices to gather large quantities of
data in naturalistic settings and enable large-scale sleep studies. By exploiting the massive …

An analysis of the sequence of sleep stages can uncover the presence of sleep disorders.
This thesis aims to focus on three key research problems related to sleep. Firstly, it focuses …

Fatal accidents are an inseparable part of life which often costs us loss of limbs especially
hands and legs and turns any of our body asset into a burden to the family, as well as the …

Sleep disorders have negative effects on human health. Sleep Disorder Breathing (SDB)
and Periodic Leg Movement (PLM) are common sleep disorders that happen during sleep …

Movement events during sleep could be used to infer underlying sleep physiologies and
disorders based on their motor presentations. Periodic Limb Movement Disorder (PLMD), for …

In this study, we proposed a detection method of periodic limb movement disorder (PLMD)
based on deep learning model. We designed a 6-layer convolutional neural network (CNN) …