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Evaluation of a sensor algorithm for motor state rating in Parkinson's disease
Dongni Johansson1, Ilias Thomas2, Anders Ericsson3
1Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Parkinsonism & Related Disorders
|April 3, 2019
Summary
The Treatment Response Objective Index (TRIS) shows promise for Parkinson's disease medication management. This sensor-based index aids in creating individual dose-response models, though further refinement is needed.
Area of Science:
- Neurology
- Biomedical Engineering
- Movement Disorders
Background:
- A Treatment Response Objective Index (TRIS) was developed using sensor data from pronation-supination tests.
- Assessing medication effects and individual dose-response models in Parkinson's disease (PD) is crucial for effective treatment.
Purpose of the Study:
- To evaluate the performance of TRIS in a new PD population sample for medication effects.
- To determine the usefulness of TRIS in constructing individual dose-response models for PD patients.
Main Methods:
- Twenty-five PD patients underwent levodopa challenge tests with wearable sensors.
- TRIS assessed motor changes in pronation-supination tests and was compared with clinical ratings (Treatment Response Scale and UPDRS part III).
Main Results:
- TRIS showed significant correlations with clinical ratings, particularly in patients with good levodopa response and motor fluctuations (rs = 0.38).
- TRIS values significantly increased from the 'off' to the 'on' state (P = 0.024).
- Individual dose-response models were more successfully fitted using TRIS compared to the Treatment Response Scale.
Conclusions:
- The objective sensor-based TRIS demonstrates potential for developing personalized medication management strategies in PD.
- Further evaluation and algorithm retraining are recommended to enhance TRIS performance and clinical utility.