Over the past 20 years, the use of telemedicine has increased exponentially. Its fundamental
aim is to improve access to care. In this review, we assess the extent to which telemedicine …

Mobile health technologies (wearable, portable, body-fixed sensors, or domestic-integrated
devices) that quantify mobility in unsupervised, daily living environments are emerging as …

Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

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 …

Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …

Sensors | Free Full-Text | Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables
and Machine Learning Next Article in Journal CAFD: Context-Aware Fault Diagnostic Scheme …

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 …

Disease diagnosis and monitoring using conventional healthcare services is typically
expensive and has limited accuracy. Wearable health technology based on flexible …

Personalized medicine promises individualized disease prediction and treatment. The
convergence of machine learning (ML) and available multimodal data is key moving …