Quantitative Assessment of Appendicular Bradykinesia in Parkinson’s Disease using Wearable Sensors
Objective: To quantify appendicular bradykinesia during a repetitive motor task in patients with Parkinson’s disease. Background: Bradykinesia is a cardinal motor symptom of Parkinson’s Disease…Usefulness of gait-aid system using smart glasses for freezing gait of atypical parkinsonian syndromes
Objective: A recent our study showed that the typical parkinsonian syndrome patients experiencing freezing of gait could be significantly improved by using smart glasses. We…Personal KinetiGraph™ Movement Recording System: An Assessment of Utility in a Movement Disorder Clinic
Objective: The objective of this open-label study was to evaluate the clinical utility of the Personal KinetiGraph™ (PKG) Movement Recording System in the care of…Gait and stance events measured with smartwatches in patients with PD and ET
Objective: The goal of this study was to analyze differential gait patterns in patients with Parkinson's disease (PD) and essential tremor (ET). To this end,…Free-living gait in REM sleep behaviour disorder: Measures of prodromal Parkinson’s disease?
Objective: The aim of this study was to investigate if free-living gait monitoring can discriminate individuals with REM sleep behaviour disorder (RBD) from controls. Background:…Effects of L-DOPA on Quantitative Gait Parameters Measured with Wearable Sensors
Objective: To quantify and validate the ability of wearable sensors to detect response to symptomatic medication in Parkinson's Disease (PD). Background: While clinical visual assessment…The Levodopa Response Trial and the Parkinson Disease Digital Biomarker Challenge: Monitoring symptoms of Parkinson’s disease in the lab and home using wearable sensors
Objective: To leverage a community of researchers and shared wearable data to develop algorithms to estimate the severity of PD specific symptoms. Background: People with…Objective assessment of Parkinson’s disease motor symptoms during leg agility test using motion sensors
Objective: To develop and evaluate machine learning methods for assessment of Parkinson’s disease (PD) motor symptoms using leg agility (LA) data collected with motion sensors…Which is the best condition to evaluate the decline in gait automaticity in people with Parkinson’s disease? A ParkiMob study
Objective: To identify which is the most efficient condition in terms of distance and kind of concurrent task to identify the decline in gait automaticity…NMSQ Application: A New Way to Access Non-Motor Symptoms in Patients with Parkinson’s Disease
Objective: To investigate the utility and satisfaction of non-motor symptoms questionnaire (NMSQ) application in Thai patients with Parkinson’s disease (PD) in clinical practice. Background: Non-motor…
