Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …

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) diagnosis is a complex and challenging task which needs the
assessment of various motor and non-motor symptoms. As gait impairment is one of the …

Gait analysis, a way of assessing the manner of walking, is considered a significant criterion
in diagnosing movement disorders. Various factors contribute to the alterations in gait …

As the motor symptoms of Parkinson's disease (PD) are complex and influenced by many
factors, it is challenging to quantify gait abnormalities adequately using a single type of …

Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Treadmill training (TT) has been extensively used as an intervention to improve gait and
mobility in patients with Parkinson's disease (PD). Regional and global effects on brain …

A novel approach is presented in this study for the classification of lower limb disorders, with
a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the …

To diagnose Parkinson's disease (PD) in a clinical setting, generally clinicians utilize several
clinical manifestations such as motor impairments and non-motor symptoms and predict the …