Evidence-Based Complementary and Alternative Medicine / 2013 / Article / Tab 6

Research Article

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.

GroupFeatureClassMeanStd. valueAdj. value

Female: 20–30aF60_120_F240_480Normal0.834 0.390 3.474<0.001 0.005
Overweight0.699 0.365
aF240_480_960_1960Normal2.285 0.818 3.510<0.001 0.005
Overweight1.996 0.806
aF60_120_960_1960Normal2.135 1.416 3.618<0.001 0.005
Overweight1.631 1.248
eF240_480_960_1960Normal3.033 0.627 3.342<0.001 <0.01
Overweight2.818 0.660
eMFCC4Normal1.277 6.836 2.581<0.05 <0.05
Overweight−0.801 8.315
oMFCC4Normal−4.087 5.624 2.757<0.01 <0.05
Overweight−5.989 7.191
SITSNormal56.14 7.515 3.106<0.005 0.01
Overweight53.73 8.074

Male: 20–30eMFCC4Normal5.057 6.678 3.393<0.001 <0.01
Overweight2.679 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).