Developing composite measures that track physical activity change in people with early-stage Parkinson’s disease using machine learning and wearable sensors
Objective: To describe an approach using machine learning (ML) to develop composite digital measures that capture changes in physical activity in people with early-stage Parkinson’s…Gait Digital Outcomes Exploration from Continuous Real-World Recordings in Parkinson’s Disease
Objective: To measure how people with Parkinson's disease (PD) feel, function, and survive, derived from continuous recordings with a wearable ankle inertial device in a real-world…Determining the optimal filtering method for the removal of gait-related movement artefacts from EEG acquired from People with Parkinson’s Disease
Objective: Development of an adaptive filtering algorithm to remove movement artefacts from EEG data acquired during a dual sensory-motor gait task when performed by People…Association between Walking Pace, Brain Structure, and Risk of Parkinson’s Disease and Atypical Parkinsonism in the UK Biobank
Objective: This study sought to explore the effects of walking pace on Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) investigating…Comparing digital gait and turning measures from a prescribed gait test in the clinic/laboratory versus the same test at home in people with Parkinson’s disease
Objective: We aim to compare the performance of the same prescribed walk test in the laboratory/clinic versus in the home. Background: With the advent of…Characterization of Muscle activity before and during Freezing of Gait Episodes
Objective: Objective: The study aims to characterize surface electromyography (EMG) activity in the distal and proximal leg muscles of 17 participants with Parkinson’s disease (PD)…Proposed framework to evaluate the ability of digital measures to track early stage Parkinson’s disease progression
Objective: To introduce a technical framework for evaluating digital measures for their ability to track Parkinson’s disease (PD) progression and apply the framework to digital…AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease
Objective: This study developed a novel patient-independent, cost-effective AI model for detecting Freezing of Gait (FoG), using a single wearable sensor and without the need…Baseline Data of the Mobilise-D Parkinson Cohort
Objective: To report baseline data of the Parkinson’s disease (PD) cohort in the Mobilise-D project. Background: Mobility is one of the most affected domains in…Instrument-supported Gait Analysis Characterizes Gait Domain Changes in Patients with Suspected Normal Pressure Hydrocephalus – a Retrospective Study
Objective: This study aimed at further characterizing the gait of patients with clinically suspected Normal Pressure Hydrocephalus (NPH) by investigating changes in several gait domains…
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