Literature DB >> 32555021

Modeling the Recovery of W' in the Moderate to Heavy Exercise Intensity Domain.

Vijay Sarthy M Sreedhara1, Faraz Ashtiani1, Gregory M Mocko1, Ardalan Vahidi1, Randolph E Hutchison2.   

Abstract

PURPOSE: This study (i) investigates the effect of recovery power (Prec) and duration (trec) on the recovery of the curvature constant (W') of the power-duration relationship, (ii) compares the experimentally measured W' balance to that predicted (W'bal) by two models (SK2 and BAR), and (iii) presents a case of real-time performance optimization using the critical power (CP) concept.
METHODS: Seven competitive amateur cyclists performed a ramp test to determine their V˙O2peak and gas exchange threshold, two to four 3-min all-out tests to determine CP and W', and nine intermittent cycling tests to investigate W' recovery. The intermittent cycling tests involved a 2-min constant work-rate interval above CP, followed by a constant work-rate recovery interval below CP (Prec and trec were varied), followed by a 3-min all-out interval.
RESULTS: There was a significant two-way interaction between Prec and trec on W' recovery, P = 0.004 (η = 0.52). Simple main effects were present only with respect to Prec at each trec. The actual W' balance at the end of the recovery interval was less than the W'bal predicted by both SK2 (P = 0.035) and BAR (P = 0.015) models. The optimal strategy derived from the subject-specific recovery model reduced the race time by 55 s as compared with the self-strategy.
CONCLUSIONS: This study has shown that in a recovery interval, Prec has a greater influence than trec on W' recovery. The overprediction of W'bal from SK2 and BAR suggests the need for individualized recovery parameters or models for sub-CP exercise. Finally, the optimal strategy results provide encouraging signs for real-time, model-based performance optimization.

Entities:  

Mesh:

Year:  2020        PMID: 32555021     DOI: 10.1249/MSS.0000000000002425

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  2 in total

1.  High-intensity interval training: optimizing oxygen consumption and time to exhaustion taking advantage of the exponential reconstitution behaviour of D'.

Authors:  Filippo Vaccari; Jacopo Stafuzza; Nicola Giovanelli; Stefano Lazzer
Journal:  Eur J Appl Physiol       Date:  2022-10-15       Impact factor: 3.346

2.  Bi-exponential modelling of [Formula: see text] reconstitution kinetics in trained cyclists.

Authors:  Alan Chorley; Richard P Bott; Simon Marwood; Kevin L Lamb
Journal:  Eur J Appl Physiol       Date:  2021-12-18       Impact factor: 3.078

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.