Tremoroton

Tremoroton performs electrophysiological classification of tremors to support diagnostic differentiation and treatment planning.

Key Features:

• Multi-Channel Input: Supports simultaneous reading of up to six channels for multi-source tremor recordings.
• Time Analysis: Enables detailed examination of tremor temporal patterns.
• Frequency Analysis: Assesses tremor frequency characteristics for distinction between tremor types.
• Time-Frequency Analysis: Provides dynamic assessment of how tremor frequencies evolve over time.
• Coherence Calculation: Measures correlation between signals from different channels to evaluate intermuscular synchronicity.
• Frequency Estimation Accuracy: Validated against commercial software with intraclass correlation coefficients of 0.97 (95% CI: 0.945–0.984) for accelerometers, 0.98 (95% CI: 0.977–0.994) for extensor carpi radialis EMG, and 0.99 (95% CI: 0.987–0.997) for flexor carpi radialis EMG.
• Implementation: Implemented using the R programming language.

Scientific Applications:

• Differential diagnosis of essential tremor and Parkinsonian tremor: Uses frequency and coherence metrics to distinguish essential tremor from Parkinsonian tremor.
• Clinical treatment planning: Provides high-accuracy frequency estimation to inform clinician decisions about treatment strategies.

Methodology:

Implemented in R; validation compared Tremoroton's frequency estimates to commercial software across 20 patients (10 with essential tremor, 10 with Parkinson’s disease) using accelerometer, extensor carpi radialis EMG, and flexor carpi radialis EMG recordings with intraclass correlation coefficient used for accuracy assessment.