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Published at December 9A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
cs.HC
eess.SP
Released Date: December 9, 2024
Authors: Maryam Ostadsharif Memar1, Navid Ziaei1, Behzad Nazari1
Aff.: 1Isfahan University of Technology

| Features | Description |
|---|---|
| 1. Average [19] | Averaging signal after smoothing |
| 2. RMS [20] | Calculating signal power |
| 3. Max peak [19] | Determining the maximum peak value |
| 4. Variance [19] | Computing the dispersion of data |
| 5. Skewness [20] | Assessing the asymmetry of data |
| 6. Kurtosis [20] | Describing the distribution shape |
| 7. Autocorrelation [20] | Correlation across time delays |
| 8. Nonlinear energy [21] | Measuring absolute value averaging |
| 9. Spikes [19] | Identifying sharp increases or peaks |
| 10. HFD [22] | Assessing irregularity or self-similarity |
| 11. Shannon entropy [23] | Measuring uncertainty and information content |
| 12. Renyi entropy [23] | Generalizing Shannon entropy to control sensitivity to probabilities |