StimVision: smartphone video kinematics to optimize DBS programming in Parkinson's disease

Area of Science:

• Neurology
• Biomedical Engineering
• Movement Disorders

Background:

• Deep brain stimulation (DBS) is crucial for Parkinson's disease (PD) motor management.
• Current DBS programming is subjective and time-consuming.
• Objective tools are needed for precise DBS optimization and therapy comparison.

Purpose of the Study:

• To evaluate a smartphone video-based kinematic framework (StimVision) for objective DBS programming.
• To characterize motor signatures associated with effective DBS settings.
• To enable within-session optimization of DBS parameters.

Main Methods:

• Fifteen Parkinson's disease patients with subthalamic DBS underwent testing in a medication-off state.
• Markerless pose estimation from 60 fps smartphone video captured kinematic data.
• A Dynamically Weighted Improvement Score (DWIS) objectively ranked stimulation programs.

Main Results:

• StimVision identified a unique, stable optimal DBS program for each patient.
• Optimal settings significantly improved movement speed, rhythm, and consistency.
• Kinematic domains included Movement Speed, Movement Consistency, and Rhythm & Timing.

Conclusions:

• Smartphone kinematics provide objective, quantitative data for DBS optimization in Parkinson's disease.
• StimVision enables personalized DBS programming and facilitates comparison with pharmacological treatments.
• This approach offers a standardized framework for evaluating motor therapies.