Health care organizations are leveraging machine-learning techniques, such as artificial
neural networks (ANN), to improve delivery of care at a reduced cost. Applications of ANN to …

Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer
biomechanists a wealth of data on healthy and pathological movement. To harness the …

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 …

Background Older adults may use wearable devices for various reasons, ranging from
monitoring clinically relevant health metrics or detecting falls to monitoring physical activity …

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

Feature extraction is crucial for human activity recognition (HAR) using body-worn
movement sensors. Recently, learned representations have been used successfully, offering …

Abstract Machine learning algorithms that use data streams captured from soft wearable
sensors have the potential to automatically detect PD symptoms and inform clinicians about …

Parkinson's disease (PD) is a progressive neurological disorder of the central nervous
system that deteriorates motor functions, while it is also accompanied by a large diversity of …

Introduction: Telemedicine represents an emerging model for the assessment and
management of various neurological disorders. Methods: We sought to discuss …

At present, the standard practices for home-based assessments of abnormal movements in
Parkinson's disease (PD) are based either on subjective tools or on objective measures that …