Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Evaluating exoskeleton actuation methods and designing an effective controller for these exoskeleton...
A significant proportion of clinical physiologic monitoring alarms are false. This often leads to al...
Accurate classification of adrenal lesions on magnetic resonance (MR) images are very important for ...
Drop-foot is characterised by an inability to lift the foot, and affects an estimated 3 million peop...
Restorative environments help people recover from mental fatigue and negative emotional and physical...
Leveraging liquid crystal elastomers (LCEs) to realize scalable fabrication of high-performing fibro...
INTRODUCTION: In light of the potential problems of missed diagnosis and misdiagnosis in the diagnos...
The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) vir...
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic...
BACKGROUND: Vital information about a person's physical and emotional health can be perceived in the...
Although robotic telesurgery is growing in popularity, the benefits of telesurgery compared to local...
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safe...
Bottom-up models of functionally relevant patterns of neural activity provide an explicit link betwe...
The roles of emergency responders are challenging and often physically demanding, so it is essential...
INTRODUCTION: The increasing number of gabapentinoid (pregabalin and gabapentin) harms, including de...
To maintain a surgeon's concentration, reduce fatigue, and train young surgeons, surgical procedures...
Early circulatory failure detection is an effective way to reduce medical fatigue and improve state ...
A prolonged period of cognitive performance often leads to mental fatigue, a psychobiological state ...
Coronavirus disease 2019 (COVID-19) continues to be a disease of global importance, with an increasi...
It is of great practical and theoretical significance to identify driver fatigue state in real time ...
Label noise is omnipresent in the annotations process and has an impact on supervised learning algor...