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

Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …

Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …

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 …

Among Parkinson's disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …

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 …

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 …

Background Although a growing number of studies focus on the measurement and detection
of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure …

The increasing prevalence of neurodegenerative conditions such as Parkinson's disease
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …