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 …

Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

This paper reviews the recent literature on technologies and methodologies for quantitative
human gait analysis in the context of neurodegenerative diseases. The use of technological …

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

Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

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 …

Parkinson's disease (PD) is a progressive neurodegenerative disorder. Gait impairments are
common among people with PD. Wearable sensor systems can be used for gait analysis by …

Parkinson's disease (PD) is globally the most common neurodegenerative movement
disorder. It is characterized by a loss of dopaminergic neurons in the substantia nigra of the …

Parkinson's disease (PD) is the second most common neurodegenerative disease; gait
impairments are typical and are associated with increased fall risk and poor quality of life …