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Tremor Detection Using Parametric and Non-Parametric Spectral Estimation Methods: A Comparison with Clinical
Octavio Martinez Manzanera1, Jan Willem Elting1, Johannes H van der Hoeven1
1Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, the Netherlands.
Plos One
|June 4, 2016
Summary
Automated analysis of accelerometer data can help diagnose tremor disorders. A study found that a specific parametric method, High Freq, effectively detects tremor segments, improving diagnostic efficiency for clinicians.
Area of Science:
- Neurology
- Biomedical Engineering
- Signal Processing
Background:
- Clinical diagnosis of tremor relies on visual assessment, which may not capture daily activity variations.
- Objective tremor analysis using accelerometry and electromyography is valuable but time-consuming.
- Long-term home recordings offer insights but pose evaluation challenges.
Purpose of the Study:
- To evaluate automated techniques for detecting tremor segments in accelerometer data.
- To compare the performance of non-parametric and parametric methods for tremor detection.
- To identify methods suitable for analyzing long-term home-recorded accelerometer data.
Main Methods:
- Tested nine methods (four non-parametric, five parametric) on accelerometer data from 14 tremor patients.
- Used clinician consensus on 3943 data segments as the reference standard.
- Optimized parameters for each method against the reference data.
Main Results:
- Non-parametric methods generally outperformed parametric methods with optimal parameters.
- One parametric method (High Freq) showed comparable performance to non-parametric methods.
- The High Freq method achieved the highest recall, indicating strong tremor segment detection.
Conclusions:
- Automated tremor detection in accelerometer data can enhance diagnostic efficiency.
- The High Freq parametric method shows promise for automatic tremor detection in daily activity recordings.
- This approach could aid in more accurate differential diagnosis of tremor disorders.
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