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…Interrater reliability of the Unified Huntington’s Disease Rating Scale-Total Motor Score certification
Objective: The aim of this study was to investigate the interrater reliability of the Unified Huntington’s Disease Rating Scale-Total Motor Score (UHDRS-TMS) and of its…Missing Data in the Unified Dyskinesia Rating Scale (UDysRS)
Objective: Identify the number of allowable missing values still permitting valid surrogate score calculation for the Unified Dyskinesia Rating Scale (UDysRS). Background: Missing data occur…Network analysis of symptoms in a Parkinson patient using experience sampling data: An n=1 study
Objective: To identify longitudinal associations between motor symptoms and mood states in a patient with Parkinson’s disease. Background: Experience Sampling consists of multiple repeated within-subject…Assessing the Quality of Economic Evaluation of Treatment Options for Parkinson’s disease Using the Quality of Health Economic Studies (QHES) Scale
Objective: The objective of this study was to critically appraise all the published evidences on the economic evaluation of treatment options for Parkinson’s disease. Background:…Efficacy of Smartphone-enabled Active Tests in Automated PD Severity Assessment
Objective: To compare the efficacy of five smartphone-enabled active tests in detecting severity changes after medication, via an automated Parkinson Disease Severity Score (PDSS). Background:…Does the side of onset affect motor and non-motor symptoms in Parkinson’s disease?
Objective: To assess the association between motor and non-motor symptoms of Parkinson’s Disease (PD) and side of onset considering hand dominance. Background: PD motor symptoms…Patient Clustering through a Mobile-based PD Severity Score
Objective: To demonstrate that PD patients can be clustered based on their performance on smartphone-enabled active tests. Background: Treatment decisions of PD require granular information…
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