Poster: Kinetic Tremor Measurement via IMU Sensing Data Analysis

Area of Science:

• Neurology
• Biomedical Engineering
• Wearable Technology

Background:

• Tremor is a prevalent symptom across all stages of Parkinson's Disease (PD).
• Accurate and objective measurement of tremor is crucial for disease management and assessment.
• Current methods may not fully capture the daily fluctuations and characteristics of PD-related tremor.

Purpose of the Study:

• To investigate the utility of Inertial Measurement Unit (IMU) sensing data for quantifying tremor in PD patients.
• To identify and extract tremor episodes and their amplitude during specific motor tasks.
• To assess the potential of wearable sensors for objective, daily tremor measurement in Parkinson's Disease.

Main Methods:

• Collected IMU sensing data from the wrists of 30 Parkinson's Disease patients during standardized drawing activities.
• Performed data analysis to detect tremor episodes and quantify tremor amplitude from the IMU data.
• Utilized data aligned with standard rating scale activities for comprehensive analysis.

Main Results:

• Preliminary analysis demonstrated the effectiveness of IMU data in measuring kinetic tremors.
• The study successfully identified tremor episodes and extracted relevant amplitude information.
• Results indicate a strong potential for wearable sensing in objective tremor assessment.

Conclusions:

• Wearable IMU sensors show promise for the objective measurement of kinetic tremors in Parkinson's Disease.
• This approach could facilitate remote monitoring and more precise assessment of tremor severity.
• Further research will focus on analyzing tremor events using wearable sensing devices for enhanced PD management.