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. 2019 Mar 12;14(3):e0212199. doi: 10.1371/journal.pone.0212199

Table 3. The clustering of features based on a network.

Group 1 Group 2 Group 3
max time time to reach VAT max VE/VO2
max VT time from the VAT to the end max VE/VCO2
max VE (PP,MP) relative time of VAT VO2-1 at VAT
max VO2 ratio of VAT (VO2) to the max time VCO2-1 at VAT
max VCO2 ratio of VAT to the max value of RER(VO2) slope VCO2 versus VE (PP)
max VO2 [ml/min/kg] (PP,MP) Slope A slope VO2 versus VE
max RR Slope B VO2 at 1st min
VO2-2 at VAT area A of graph VO2 as a function of VCO2 VO2 at 2nd min
VCO2-2 at VAT Time at VAT VO2 at 3rd min
area B of graph VO2 as a function of VCO2 RF at VAT predicted VO2 at VAT/the real VO2 at VAT
slope at 1st min increase VO2 (MP) VE at VAT max RF (PP) 
slope at 2nd min increase VO2 VCO2 [ml/min] at VAT  
slope at 3rd min increase VO2 VO2[ml/min/kg]
at VAT
 
max slope time max speed (PP, MP) RR at VAT  
VEmax/slope*speed  VSLOPE  
VO2max/slope*speed (PP)    
predicted VO2    
max slope * max speed * max time