In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …

Wearables developed for human body signal detection receive increasing attention in the
current decade. Compared to implantable sensors, wearables are more focused on body …

This study presents the fabrication process of flexible hybrid electronic (FHE) nanofiber
electrodes designed for wearable smart electronics. Electrospinning was used to obtain …

The mDurance® system is an innovative digital tool that combines wearable surface
electromyography (sEMG), mobile computing and cloud analysis to streamline and …

Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

One of the major research areas in analysis of human movements is to investigate how
different movements are related to biosignals. Hand gestures belong to major movements of …

Deep learning frameworks (such as deep convolutional networks) require data to have a
regular shape. However, discrete features extracted from heterogeneous data cannot be …

Analysis of body movement is the most important aspect of rehabilitation science. Hand
movement as one of the major movements of humans has aroused the attention of many …

Background: Laparoscopic surgery demands high precision and skill, necessitating effective
training protocols that account for factors such as hand dominance. This study investigates …

Previous studies have identified driving fatigue as the main cause of road traffic accidents,
therefore, the aim of this literature review is to explore the characteristics of driving fatigue …