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. 2016 Jun 9;2016:8701973. doi: 10.1155/2016/8701973

Table 2.

A full list of features used for the classification of ED segments: S ALL denotes all data (source signal) in a segment; S NS denotes data in the nondetected (as a sharp or SW) block only within the segment. Some features are paired (e.g., numbers 9 and 21), which can be calculated for sharps and SWs independently.

Feature number Description
1 Standard deviation of amplitude for S ALL

2, 14 Number of detected waveforms

3, 15 Median wave-width of detected waveforms

4, 16 Median amplitude of detected waveforms

5, 17 Mean kurtosis of detected waveforms

6, 18 Mean ratio of amplitude to wave-width of detected waveforms

7, 19 Standard deviation of amplitude for S NS

8, 20 Feature 8 = feature 1/feature 7
Feature 20 = feature 1/feature 19

9, 21 Feature 9 = feature 4/feature 7
Feature 21 = feature 16/feature 19

10, 22 Max(S ALL) − min(S ALL)

11, 23 Max(S NS) − min(S NS)

12, 24 Feature 12 = feature 4/feature 11
Feature 24 = feature 16/feature 23

13, 25 Mean skewness of detected waveforms

26 Mean distance from a SW to its closest and preceding sharp

27 Ratio of detected waveform types: SW to sharp

Basic features (wave-width, amplitude, kurtosis, amplitude to wave-width ratio, and skewness) were calculated from each detected waveform first, and their median/mean was taken as the features for the classification.