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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 …

Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …

The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …

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

Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial
applications from navigation systems to guidance and robotics. Their use in clinical practice …

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 …

Although the preclinical detection of Parkinson's disease (PD) has been explored, a
practical, inexpensive, and overall screening diagnosis has yet to be made available …

The aim of this study is to propose a practical smartphone-based tool to accurately assess
upper limb tremor in Parkinson's disease (PD) patients. The tool uses signals from the …

Millions of people worldwide are affected by Parkinson's disease (PD), which significantly
worsens their quality of life. Currently, the diagnosis is based on assessment of motor …