Quantitative gait analysis using a pose-estimation algorithm with a single 2D-video of PD patients
Objective: To develop an easily accessible and objective tool to evaluate gait in PD patients, we analyzed gait from a single 2-dimensional (2D) video. Background:…Gait Dysfunction in Blepharospasm
Objective: Characterizing gait in blepharospasm patients. Background: Blepharospasm ranges from frequent blinking to forced eye closure potentially causing functional blindness that can impair walking. Gait…Medication effects and validity of home-based freezing tests in Parkinson’s disease
Objective: Determine the validity of a ‘freezing-provoking protocol’ (FOG-PP) in the home setting and assess the effects of medication on freezing of gait (FOG) during…Motor asymmetry in Parkinson’s disease: relation with freezing of gait
Objective: To evaluate the relation between motor symptoms asymmetry in patients with Parkinson’s disease (PD) and freezing of gait (FOG) episodes. Background: It is yet…The effect of levodopa and cognitive-motor dual interference on gait parameters in PD FOG
Objective: Our purpose in conducting this study was to investigate the effects of dopamine on dual task effects associated with specific gait parameters between individuals…Wearable sensors- early prediction of freezing of gait episodes based on bilateral leg stepping coherence in patients with Parkinson’s disease
Objective: To evaluate the characteristics of a freezing of gait (FOG) detection algorithm based on continuous data from inertial sensors (placed bilaterally on the shanks…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…
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