A Novel Method for Classifying Body Mass Index on the Basis of Speech Signals for Future Clinical Applications: A Pilot Study
Table 6
Statistical analysis results by independent two sample -test and Benjamin-Hochberg's method.
Group
Feature
Class
Mean
Std.
value
Adj. value
Female: 20–30
aF60_120_F240_480
Normal
0.834
0.390
3.474
<0.001
0.005
Overweight
0.699
0.365
aF240_480_960_1960
Normal
2.285
0.818
3.510
<0.001
0.005
Overweight
1.996
0.806
aF60_120_960_1960
Normal
2.135
1.416
3.618
<0.001
0.005
Overweight
1.631
1.248
eF240_480_960_1960
Normal
3.033
0.627
3.342
<0.001
<0.01
Overweight
2.818
0.660
eMFCC4
Normal
1.277
6.836
2.581
<0.05
<0.05
Overweight
−0.801
8.315
oMFCC4
Normal
−4.087
5.624
2.757
<0.01
<0.05
Overweight
−5.989
7.191
SITS
Normal
56.14
7.515
3.106
<0.005
0.01
Overweight
53.73
8.074
Male: 20–30
eMFCC4
Normal
5.057
6.678
3.393
<0.001
<0.01
Overweight
2.679
6.929
value < 0.05 was considered statistically significant. The values were adjusted using the Benjamin-Hochberg method to control the false discovery rate. Only statistically significant features among all features selected by wrapper-based feature subset selection in each group are described in this table (Std: standard deviation, Adj: adjusted).
