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 …

Recent technologic advancements have enabled the creation of portable, low-cost, and
unobtrusive sensors with tremendous potential to alter the clinical practice of rehabilitation …

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

Objectives Wearable technology is increasingly used to monitor neurological disorders. The
purpose of this systematic review was to synthesize knowledge from quantitative and …

This literature review addressed wearable sensor systems to monitor motor symptoms in
individuals with Parkinson's disease (PD) during activities of daily living (ADLs). Specifically …

In the past decade, the use of wearable medical devices has been a great breakthrough in
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …

Parkinson's disease (PD) is affecting about 1.2 million patients in Europe with a prevalence
that is expected to have an exponential increment, in the next decades. This epidemiological …

Background: Parkinson's disease (PD) is the most prevalent movement disorder of the
central nervous system, and affects more than 6.3 million people in the world. The …

Bradykinesia is a cardinal symptom of Parkinson's disease (PD) and describes the slowness
of movement revealed in patients. Current PD therapies are based on dopamine …

Background: The emergence of new technologies measuring outcomes in Parkinson's
disease (PD) to complement the existing clinical rating scales has introduced the possibility …