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Abstracts from the International Congress of Parkinson’s and Movement Disorders.

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Assessing a Video Based Approach at Measuring Parkinson’s Disease Severity – A Validation Study

BP. Bridges (St. John's, Canada)

Meeting: 2024 International Congress

Abstract Number: 697

Keywords: Motor control, Parkinson’s

Category: Parkinson’s Disease: Clinical Trials

Objective: To validate the Parkinson’s remote interactive monitoring system’s assessment of Parkinson’s disease compared to a clinical assessment completed by a movement disorder specialist.

Background: The most rapidly advancing neurological condition worldwide is Parkinson’s Disease (PD). PD is commonly managed using Leva-Dopa, an oral medication aimed at elevating dopamine levels. Nonetheless, with disease progression, the efficacy of the medication diminishes, and medication changes are necessary. Consequently, remote monitoring systems capable of delivering comprehensive and precise updates on a patient’s condition on a regular basis are invaluable tools for both clinicians and patients in medication management. The Parkinson’s Remote Interactive Monitoring System (PRIMS) was conceived with the intention of being a digital platform adept at remotely quantifying motor symptoms of PD with accuracy. This tool utilizes data captured by two depth cameras and employs machine learning networks to intuitively score and rate a patient’s motor severity based on the MDS-UPDRS scoring system.

Method: The outlined validation study is a cohort study involving patients with Parkinson’s Disease (PD). The PRIMS motor examination, comprising 16 tests, was performed concurrently with the clinical MDS-UPDRS III examination. Data collection involved both clinician observations and PRIMS system recordings, with detailed scoring and movement analysis retained. This methodology aimed to evaluate PD severity using PRIMS alongside conventional clinical assessments.

Results: Our results indicated a high level of agreement between the two measurement methods, as demonstrated by a statistically significant IntraClass Correlation Coefficient (ICC). The Bland-Altman analysis method further supported this finding, with the mean difference and limits of agreement falling within an acceptable clinical cutoff limit of <=5% bias.

Conclusion: The findings of this validation study provide robust evidence supporting the reliability and accuracy of the PRIMS tool as an alternative to clinician judgment in assessing Parkinson’s Disease severity. Further research and implementation of such tools in clinical practice hold promise for enhancing patient care, optimizing treatment strategies, and ultimately improving outcomes for individuals living with Parkinson’s Disease.

To cite this abstract in AMA style:

BP. Bridges. Assessing a Video Based Approach at Measuring Parkinson’s Disease Severity – A Validation Study [abstract]. Mov Disord. 2024; 39 (suppl 1). https://www.mdsabstracts.org/abstract/assessing-a-video-based-approach-at-measuring-parkinsons-disease-severity-a-validation-study/. Accessed June 14, 2025.
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