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Completed
NCT05906719
Machine Vision Based MDS-UPDRS III Machine Rating
Conditions: Parkinsonian Disorders, Machine Learning
Sex: All
Ages: 20 Years – 80 Years
Healthy volunteers: No
Enrollment: 1679
Sponsor: Ruijin Hospital
Location: Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University Beijing Beijing Municipality
Summary
The Movement Disorders Society (MDS) Unified Parkinson's Disease Rating Scale (UPDRS) Part III (MDS-UPDRS III) is the primary assessment method for motor symptoms in Parkinson's disease patients. Currently, movement disorder specialists conduct semi-quantitative scoring, which entails limitations such as subjectivity, weak sensitivity, and a limited number of professional physicians. This study, based on machine vision, establishes gold standard labels according to expert scoring. By using machine learning, we develop a machine rating model and compare the model's performance with gold standard rating and general clinical rating to investigate the accuracy of machine vision-based MDS-UPDRS III machine rating.
Eligibility Criteria
Inclusion Criteria:
* Meeting the diagnostic criteria for Parkinsonism established by the International Movement Disorder Society: having bradykinesia, and meeting at least one of the two criteria for resting tremor or muscle rigidity
* 20 to 80 years old
* Good compliance, voluntarily joining the study, and able to sign an informed consent form or have it signed by a legal representative
Exclusion Criteria:
* Significant cognitive impairment (MMSE ≤ 23)
* Unable to sign written informed consent or unable to complete the trial due to other reasons
* Other situations in which the researcher deems the participant unsuitable for this study
* Participation in other clinical trials
Source: ClinicalTrials.gov (NCT05906719). StuddyBuddy aggregates publicly available trial information.