The method of biofeedback training for the patients with Parkinson’s disease
Objective: The objective of the research was to develop a biofeedback training method for the patients with Parkinson's disease (PD), utilizing videomotion analysis for the…Automated assessment of advanced motor Parkinson’s disease; a pilot study of the Parkinson’s KinetiGraph as an objective tool for measurement of motor fluctuations
Objective: To evaluate the utility of the Parkinson's KinetiGraph (PKG) as a tool in advanced Parkinson's disease (PD) to determine need for treatment change by…Implementation of a mobile application in the Luxembourg Parkinson’s study for identification and validation of disease stage and variation
Objective: The project focuses on integrating a mobile application (mPower) into the Luxembourg Parkinson's cohort (HELP-PD) to monitor frequency and degree of variation in symptoms…Reliability and responsiveness of in-clinic and at-home app-based bradykinesia assessment
Objective: To evaluate reliability and responsiveness of an objective app-based bradykinesia assessment tool in the clinic and at home and to compare it to clinical…Survey of telemedicine use among MDS members
Objective: To evaluate telemedicine use amongst global members of the International Parkinson and Movement Disorders Society (MDS). Background: The current utilization of telemedicine by healthcare…Automated Telehealth Diagnostics for Remote Parkinson Monitoring
Objective: To clinically assess and evaluate the impact of automated telehealth diagnostics on patients with Parkinson's disease (PD). Background: A single evaluation in a clinical…Testing feasibility and utility of remote data capture technology to assess Parkinson’s disease
Objective: To test feasibility and utility of home-based video-recording uploaded from a mobile device app to a cloud-based storage platform, in order to quantitate motor…mPower: A smartphone-based study of Parkinson’s disease provides personalized measures of disease impact
Objective: mPower is a clinical observational study of Parkinson's disease (PD) conducted completely through an iPhone app focused on the ability of mobile devices and…Quantifying turning behavior in Parkinson’s disease patients using mobile technology
Objective: To use inertial measurement unit (IMU) data from a mobile device, iPad or iPhone, to quantify PD patients' gait and turning behavior, on and…Analysis of temporal gait features extracted from accelerometer-based signals during ambulatory walking in Parkinson’s disease
Objective: To perform a proof-of-concept study showing the utility of versatile algorithms aimed at objectively quantifying the duration of refined gait features during ambulatory walking…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.