Distance estimation from acceleration for quantitative evaluation of Parkinson tremor

Area of Science:

• Biomedical Engineering
• Neurology
• Movement Disorders

Background:

• Parkinson's Disease (PD) is a neurodegenerative disorder characterized by motor symptoms, including resting tremor.
• Accurate quantification of tremor severity is crucial for diagnosis and treatment monitoring.
• Existing methods for tremor assessment may lack practicality or simplicity.

Purpose of the Study:

• To develop and validate a practical method for quantifying Parkinson tremor using distance amplitude.
• To assess the correlation between estimated tremor distance and clinical severity ratings.

Main Methods:

• Utilized a triaxial accelerometer to record resting tremor in 7 Parkinson Disease (PD) patients.
• Segmented 7-second acceleration signals and applied a moving average filter to reduce integration errors.
• Performed double integration of acceleration data to estimate displacement and calculated 1-second tremor distance using Euclidean distance.
• Correlated estimated tremor distance with the Unified Parkinson's Disease Rating Scale (UPDRS) scores.

Main Results:

• A simple method was established to estimate tremor distance from acceleration data.
• A clear positive correlation was observed between estimated tremor distance and UPDRS scores.
• Average 1-second tremor distances were 11.52 mm (UPDRS 1), 33.58 mm (UPDRS 2), and 382.22 mm (UPDRS 3).

Conclusions:

• The proposed method provides a practical and simple approach for evaluating Parkinson tremor severity.
• Estimated tremor distance is proportional to the clinical rating scale (UPDRS), suggesting its utility in objective tremor assessment.
• This technique offers potential for improved monitoring of Parkinson's Disease progression and treatment efficacy.