Estimating an individual’s oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study-Reference-Cited by-同舟云学术

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Estimating an individual’s oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study

Published:2020-03-12 Issue:3 Volume:15 Page:e0229466
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Zignoli Andrea^ORCID,Fornasiero Alessandro,Ragni Matteo,Pellegrini Barbara,Schena Federico,Biral Francesco,Laursen Paul B.

Funder

Fondazione Cassa di Risparmio di Trento e Rovereto

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference53 articles.

1. Oxygen uptake dynamics: from muscle to mouth–an introduction to the symposium;AM Jones;Medicine and Science in Sports and Exercise,2005

2. Limiting factors for maximum oxygen uptake and determinants of endurance performance. Medicine & Science in Sports &;DR Bassett;Exercise,2000

3. ATS/ACCP Statement on cardiopulmonary exercise testing;American Thoracic Society, American College of Chest Physicians;Am J Respir Crit Care Med,2003

4. Heart rate monitoring: applications and limitations;J Achten;Sports Med,2003

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1. Combined Impact of Heart Rate Sensor Placements with Respiratory Rate and Minute Ventilation on Oxygen Uptake Prediction;Sensors;2024-08-21

2. Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling;Journal of Sports Sciences;2024-07-17

3. Estimating intra-subject and inter-subject oxygen consumption in outdoor human gait using multiple neural network approaches;2024-04-28

4. Pro-cycling team cyclist assignment for an upcoming race;PLOS ONE;2024-03-04

5. Prediction of peak oxygen consumption using cardiorespiratory parameters from warmup and submaximal stage of treadmill cardiopulmonary exercise test;PLOS ONE;2024-01-10

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