Elisa Pelosin

A framework to standardize gait study protocols in Parkinson's disease

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders

Motor imagery ability scores are related to cortical activation during gait imagery

Cognitive rehabilitation and aerobic exercise for cognitive impairment in people with progressive multiple sclerosis (CogEx): a randomised, blinded, sham-controlled trial

Digital Mobility Measures: A Window into Real‐World Severity and Progression of Parkinson's Disease

Motor–Cognitive Treadmill Training With Virtual Reality in Parkinson’s Disease: The Effect of Training Duration

Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning

Falls Risk in Relation to Activity Exposure in High-Risk Older Adults

Do Patients With Parkinson’s Disease With Freezing of Gait Respond Differently Than Those Without to Treadmill Training Augmented by Virtual Reality?

Gait impairments in Parkinson's disease

Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults

Analysis of Free-Living Gait in Older Adults With and Without Parkinson’s Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics

Everyday Stepping Quantity and Quality Among Older Adult Fallers With and Without Mild Cognitive Impairment: Initial Evidence for New Motor Markers of Cognitive Deficits?

Fall-Prone Older People's Attitudes towards the Use of Virtual Reality Technology for Fall Prevention

Addition of a non-immersive virtual reality component to treadmill training to reduce fall risk in older adults (V-TIME): a randomised controlled trial

V-TIME: a treadmill training program augmented by virtual reality to decrease fall risk in older adults: study design of a randomized controlled trial