Table 1
The parameters used with the ANN in the classifying system.
| Name | Description |
|---|---|
| 1. Energy | Sum of squared values of signal. |
| 2. Frequency roughness | Mean of the absolute value of the second derivative of the signals’ % Fourier Spectrum. |
| 3. Variance | Variance of the track. |
| 4. Max-minus-median | Maximum value minus median value. |
| 5. Fraction over half-max | The fraction of the signal’s values that are greater from 40% of its maximum value. |
| 6. RMS | Root mean square value of the track. |
| 7. Fractal dimension | The fractal dimension of the signal with values 1–2. |
| 8. Stdev of variances | The standard deviation of the variance values of the signal using a sliding window of 100 measurements. |
| 9. Maximum | Maximum value of track. |
| 10. Zero-cross area variance | The variance of the integral from one zero-crossing of the signal to another. |
| 11. Zero-cross norm area variance | The variance of the integral from one zero-crossing of the signal to another normalized by it duration. |
| 12. Zero-cross area difference mean | The mean difference of consecutive integrals from one zero-crossing of the signal to another. |
| 13. Zero-cross area difference variance | The variance of the differences of consecutive integrals from one zero-crossing of the signal to another. |
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