Video-Based Smartphone-Assisted Bradykinesia Assessment In Parkinson’S Disease
Posted Date: May 9, 2025
- Investigator: Luca Marsili
- Specialties: Movement Disorders, Neurology, Parkinson's Disease
- Type of Study: Observational/Survey
Background: An unmet need in clinical trials for PD is the lack of objective measures to quantify dopaminergic treatment responses. Recent technological advancements have expanded the use of computer vision and video-based movement analysis in medicine and neurology. Advanced technology-based assessment tools could enhance our understanding of motor responses and improve the detection of subtle therapeutic effects that are easily missed while using traditional clinical scales and questionnaires. Objective: We aim to validate a computer vision digital analysis system for the remote video analysis of bradykinesia (through finger tapping movements analysis) using three-dimensional kinematic analysis in healthy controls (HC) and to validate the computer vision digital analysis system in Parkinson's disease (PD) patients by analyzing videos of their finger tapping movements of each hand to assess disease severity and response to treatment (before vs after dopaminergic therapy). Methods: We will capture evaluation data for a cohort of 26 HC (Rome, validation study) and 26 patients (Cincinnati, validation in PD study), with a subgroup of PD patients followed for up to 4-6 months. Kinematic recordings will be performed using an optoelectronic system. Hand movements will be recorded using the video-based computer vision digital analysis system from a camera placed on a tripod at a distance of 1 meter from the participant’s chair. In patients, objective data collected through the computer vision digital analysis system will be compared to existing clinical scales (The MDS-UPDRS Part III) and questionnaires (Activities of daily living, ADLs; Instrumental activities of daily living, IADLs; The Parkinson's Disease Questionnaire, PDQ-39). We will compare video analysis of finger tapping between HC and PD patients to demonstrate its accuracy in detecting bradykinesia and its severity in patients. The validated computer vision analysis system will then allow future applications, namely the prospective evaluation of bradykinesia severity, treatment effects, and overall management in PD patients both in-person and remotely via telemedicine sessions.
Criteria:
Subjects (18 Years And Older) With A Clinical Diagnosis Of Parkinson’S Disease (Pd) According To Current Clinical Diagnostic Criteria. Exclusion Criteria Include Parkinsonian Syndromes Other Than Pd And Inability To Undergo Testing Procedures.
Keywords:
Computer Vision, Parkinson’S Disease
For More Information:
Luca Marsili
513-558-2003
marsilla@ucmail.uc.edu