Latest AI and machine learning research in exercise & fitness for healthcare professionals.
INTRODUCTION: Physiological responses are rarely considered during walking after stroke and if consi...
Epistasis learning, which is aimed at detecting associations between multiple Single Nucleotide Poly...
Higher life expectancy is increasing the number of age-related cognitive impairment cases. It is als...
Autonomous robots need to interact with unknown, unstructured and changing environments, constantly ...
In this paper, a closed-loop control has been developed for the exoskeleton robot system based on br...
Locomotor patterns are mainly modulated by afferent feedback, but its actual contribution to spinal ...
Electrocorticogram (ECoG) is a well-known recording method for the less invasive brain machine inter...
The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. T...
BACKGROUND Aryl-carbon receptor (AhR), a ligand-activated transcription factor, is best known for it...
With the recent advancement in wearable computing, sensor technologies, and data processing approach...
Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...
In the current context of epidemiological transition, demographic changes, changes in consumption an...
BACKGROUND: Walking in daily life is complex entailing various prerequisites such as leg strength, t...
This study develops a reliable radial basis function neural networks (RBFNNs) to estimate freshness ...
Intersubject variability in accelerometer-based activity recognition may significantly affect classi...
Two types of inoculated sludges, granular sludge that had been stored at -20°C and activated sludge,...
Wearable sensors can provide detailed information on human movement but the clinical impact of this ...
BACKGROUND: Chronic kidney disease (CKD) patients experience a high symptom burden including fatigue...
UNLABELLED: Although microscopy is often treated as a quasi-static exercise for obtaining a snapshot...
BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes...
OBJECTIVE: Participation in a physical therapy program is considered one of the greatest predictors ...