The scoring of sleep stages is one of the essential tasks in sleep analysis. Since a manual
procedure requires considerable human and financial resources, and incorporates some …

Recently, self-powered health monitoring systems using a wearable thermoelectric
generator (WTEG) have been rapidly developed since no battery is needed for continuous …

Although many people suffer from sleep disorders, most are undiagnosed, leading to
impairments in health. The existing polysomnography method is not easily accessible; it's …

Sleep is an essential physiological process that is crucial for human health and well-being.
However, with the rise of technology and increasing work demands, people are …

Wearable devices have received significant attention recently for their ability to monitor
critical physiological signals noninvasively, such as electrocardiography …

Anomaly detection is a significant task in sensors' signal processing since interpreting an
abnormal signal can lead to making a high-risk decision in terms of sensors' applications …

Accurate sleep stage detection is crucial for diagnosing sleep disorders and tailoring
treatment plans. Polysomnography (PSG) is considered the gold standard for sleep …

Over the past few decades, researchers have attempted to simplify and accelerate the
process of sleep stage classification through various approaches; however, only a few such …

In lower-limb rehabilitation, human action recognition (HAR) technology can be introduced
to analyze the surface electromyography (sEMG) signal generated by movements, which …

Sleep staging is essential for sleep assessment and plays an important role in disease
diagnosis, which refers to the classification of sleep epochs into different sleep stages …