Table 2 Model features
From: Use of capnography for prediction of obstruction severity in non-intubated COPD and asthma patients
Feature | Description |
|---|---|
1 | Age |
2 | Gender |
3 | Height |
4 | ‘Curvature of signal from start to D’ |
5 | ‘Hjorth mobility’ |
6 | ‘Ratio of areas from middle of signal to end over start to middle’ |
7 | ‘Time spent in EtCO2 (with error of 0.01)’ |
8 | ‘First index to reach EtCO2 (with error of 0.1) normalized by D’ |
9 | 'Slope for C to D’ |
10 | ‘Exponential Fit—MSE’ |
11 | ‘Angle of the downward slope’ |
12 | ‘Distance of point C from (0,1)’ |
13 | ‘Linear regression from C to D–a’ |
14 | ‘Ratio between time signal rises and time signal descends’ |
15 | ‘Distance from point C to the line connecting (0,0) to point D’ |
16 | ‘Normalized signal at 0.5*D’ |
17 | ‘First index to reach EtCO2 (with error of 0.1)’ |
18 | ‘d2–d1’ |
19 | ‘Amount of times the signal rises’ |
20 | ‘RW score1’ |
21 | ‘Linear regression from 1 to D–R2’ |
22 | ‘Ratio between time until D/time from D to end (upstroke/downstroke)’ |
23 | ‘Angle at C’ |
24 | ‘Normalized signal at 0.45*D’ |
25 | ‘Signal at the point where line from (0,1) to (1,0) crosses the signal’ |
26 | ‘Ratio between signal rises/signal descends (from C to end)’ |
27 | ‘Normalized signal at 0.35*D’ |
28 | ‘Normalized signal at 0.4*D’ |
29 | ‘Normalized signal at 0.55*D’ |
30 | ‘Normalized signal at 0.3*D’ |
31 | ‘Linear regression from C to D–b’ |
32 | ‘Like previous normalized by D’ |
33 | ‘Normalized signal at D/2’ |
34 | ‘Normalized signal at C’ |
35 | ‘Curvature of signal from start to Midpoint’ |