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

Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …

Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …

Among Parkinson's disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …

For the treatment and monitoring of Parkinson's disease (PD) to be scientific, a key
requirement is that measurement of disease stages and severity is quantitative, reliable, and …

The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …

Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …

Despite the large number of studies that have investigated the use of wearable sensors to
detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus …