Factors influencing explicit locomotor learning and saving by people with Parkinson’s disease
Objective: To determine factors associated with explicit locomotor learning and saving by people with Parkinson’s disease (PD). Background: PD leads to movement problems such as…Improving fall prediction in Parkinson’s disease: A machine-learning-based approach
Objective: To explore the prediction of falling in PD using a machine-learning-based approach. Background: The strongest predictor of falling in Parkinson’s disease (PD) is the…Ambulatory Capacity Measure derived from the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS)
Objective: (1) Construct a measure of ambulatory capacity derived from the MDS-UPDRS that is similarly structured to the original Ambulatory Capacity Measure (ACM) derived from…Using machine learning methods to explore gait features associated with freezing of gait in Parkinson’s Disease
Objective: To find hidden gait patterns associated with freezing of gait (FoG) in Parkinson’s disease (PD) by using machine learning techniques on the spatial and…Remote monitoring of physical activity and falls in patients with Huntington’s disease using wearable sensors
Objective: To investigate the use of a novel tele-health system to remotely monitor physical activity and falls in patients with Huntington’s disease. Background: Increased physical…An objective comparison of forward and backward postural instability in early Parkinson’s disease
Objective: To test if perturbations that induce backward or forward steps are better for distinguishing reactive stepping impairment between people with mild-to-moderate early PD and…Technology-based therapy response and prognostic biomarkers in Parkinson’s disease: results from a prospective evaluation of a de novo PD patients’ cohort
Objective: To prospectively evaluate motor performances with technology-based objective measures (TOMs) in a cohort of PD patients in order to identify therapy response and prognostic…Remote and frequent assessment of Huntington’s disease in clinical trials: Strategies for assessing and accounting for the practice effect
Objective: To assess the impact of task repetition on performance in digital assessments on Huntington’s disease (HD) and establish the number of practice test iterations…Predictive factors of serious falls in Parkinson’s disease
Objective: We aimed to determine predictive factors for serious falls in PD by long term follow-up for four years after comprehensive evaluation both in physical…Determination of freezing of gait with wearable sensors in patients with Parkinson’s disease
Objective: The aim was to determine freezing of gait (FOG) with wearable sensors in patients with Parkinson's disease (PD). Background: PD is a neurodegenerative disorder…
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