Fall Detection Systems (FDS) are automated systems designed to detect falls experienced
by older adults or individuals. Early or real-time detection of falls may reduce the risk of …

Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …

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

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 …

Advancing conventional open‐loop DBS as a therapy for PD is crucial for overcoming
important issues such as the delicate balance between beneficial and adverse effects and …

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 …

Background and objective Elderly populations are more prone to diseases and need
continuous monitoring of parameters to ensure good health. Wearable devices (WDs) can …

Despite the large number of studies that have investigated the use of wearable sensors to
detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus …

More than 8.6 million people suffer from neurological disorders that affect their gait and
balance. Physical therapists provide interventions to improve patient's functional outcomes …

Background Quality of life in Parkinson's disease (PD) is affected by motor and nonmotor
symptoms, necessitating an integrated care approach. Existing care models vary …