Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

Parkinson's Disease (PD) is the second most common neurodegenerative disease in the
elderly population, with a higher prevalence in men, independent of race and social class; it …

Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …

Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …

Flood is the most common phenomenon causing extensive disruption to the environment,
socio-economy, infrastructure and many other aspects of human life. Flood susceptibility …

One of the challenges in computer vision models, especially sign language, is real-time
recognition. In this work, we present a simple yet low-complex and efficient model …

Featured Application We describe a system that uses a Leap Motion device to recognize the
gestures performed by users while immersed in a Virtual Reality (VR). The developed …