Artificial Neural Network-based Equation For Estimating Vo_(2max) From The 20 M Shuttle Run Test In Adolescents

摘要

Leger's equation was 4.27 ml/(kg min), while for the ANN-equation was 2.84 ml/ (kg min). A Bland-Altman plot for the measured VO_(2max) and Leger-VO_(2max) showed a mean difference of 4.9 ml/(kg min) (P < 0.001), while the Bland-Altman plot for the measured VO_(2max) and ANN-VO_(2max) showed a mean difference of 0.5 ml/(kg min) (P = 0.654). In the validation sample, the percentage error was 21.08 and 8.68 for Leger and ANN-equation (P < 0.001), respectively. Conclusions: In this study, an ANN-based equation to estimate VO_(2max) from 20mSRT performance (stage), sex, age, weight, and height in adolescents was developed and cross-validated. The newly developed equation was shown to be more accurate than Leger's. The proposed model has been coded in a user-friendly spreadsheet.