Machine Vision Based MDS-UPDRS III Machine Rating

Shanghai Jiao Tong University

Status: Enrolling

Conditions: Parkinsonian Disorders; Machine Learning

Treatments: Other: video recording

Study type: Observational

Funder types: Other

Identifiers

NCT05906719

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Details and patient eligibility

About

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.

Enrollment: 871 estimated patients

Sex: All

Ages: 20 to 80 years old

Volunteers: No Healthy Volunteers

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