Preliminary validation of a novel, comprehensive digital biomarker smartphone application to assess motor symptoms in de-novo diagnosed Parkinson patients
Objective: To determine the reliability and validity of a novel, comprehensive digital biomarker remote monitoring approach to actively and passively measure motor symptom progression in…Use of e-PROMs in Parkinson’s disease clinics: A qualitative study of healthcare professionals perceptions
Objective: To explore the views of PD healthcare professionals on the use of e-PROMs. Background: Assessment of motor AND non-motor symptoms are critical to the…Sex differences by design and outcome in the Safety of Urate Elevation in PD (SURE-PD) trial
Objective: To investigate whether women and men with Parkinson's disease (PD) may differ in their biochemical and clinical responses to long-term treatment with urate-elevating inosine.…Prospective, home-based assessment of motor symptoms in Parkinson’s disease by mean of the Sleep Fit app: A potential new clinical approach
Objective: To investigate the correspondence between subjective data on motor symptoms prospectively collected at home and retrospective, subjective data assessed by structured interview in patients…Pediatric Tics and DCD: Motor Network Disorders?
Objective: To characterize and quantify pediatric tics and DCD according to specific movement disorder features. Background: Until now, it has been impossible to attribute the…Motivators, Barriers and Clinical Correlates of Physical Activity in Parkinson Disease
Objective: To characterize physical activity levels as well as barriers and motivators for exercise in US military Veterans with Parkinson disease (PD). Background: Physical activity…A New Scale to Measure Impairment in Patients with Writer’s Cramp
Objective: To validate a new writer’s cramp impairment scale (WCIS) and compare it with an existing writer’s cramp rating scale (WCRS) Background: Writer’s cramp (WC)…Quantification of the PD Motor Syndrome Using an Inclusive Score (PD9) Derived from Sensor Data with Deep Learning
Objective: To quantify the PD motor syndrome with increased temporal and severity granularity using non-invasive internet-of-things (IoT) devices and deep learning methods. Background: Brady-hypokinetic parkinsonistic…Toward an automated, video-based method to measure motor severity in cervical dystonia
Objective: The objective of this study was to compare options for machine learning-based video analysis software for measuring motor severity in cervical dystonia (CD). Background:…Validation of the French version of the Munich Dysphagia Test-Parkinson’s disease (MDT-PD) in a multilingual population of the Luxembourg Parkinson’s Study (HELP-PD)
Objective: To provide the psychometric validation of the French MDT-PD in the Luxembourgish multilingual population. Background: The MDT-PD, developed and validated in German [1], is…
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