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…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…The cognitive profiles differ among freezing of gait subtypes in Parkinson’s disease
Objective: Analyze differences in cognitive profiles among freezing of gait (FOG) subtypes in Parkinson’s disease (PD). Background: FOG in PD has been shown to be…A Neuroscientific approach for MCI Characterization using a Motor and Cognitive Dual-Task
Objective: To investigate the relationship between cognition and motion skills, through an innovative technological tool able to quantify gait parameters, while providing for a Motor…Dual-task in Parkinson’s disease: a gait analysis and functional MRI study
Objective: To study gait parameters and functional MRI (fMRI) patterns performing dual-task in Parkinson’s disease patients with postural instability and gait disorders phenotype (PD-PIGD) and…Characteristics of gait and quality of life in Parkinson’s disease
Objective: To find the independent correlation between characteristics of gait and QoL in PD, comprehensive assessment of clinical characteristics and objective gait analyses were done…
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