The importance of ventilatory thresholds to define aerobic exercise intensity in cardiac patients and healthy subjects

F Anselmi, L Cavigli, A Pagliaro… - … journal of medicine …, 2021 - Wiley Online Library
Background Although structured exercise training is strongly recommended in cardiac
patients, uncertainties exist about the methods for determining exercise intensity (EI) and …

Detection of the anaerobic threshold in endurance sports: validation of a new method using correlation properties of heart rate variability

B Rogers, D Giles, N Draper, L Mourot… - Journal of functional …, 2021 - mdpi.com
Past attempts to define an anaerobic threshold (AnT) have relied upon gas exchange
kinetics, lactate testing and field-based evaluations. DFA a1, an index of heart rate (HR) …

From data to decision: Machine learning determination of aerobic and anaerobic thresholds in athletes

M Tomaszewski, A Lukanova-Jakubowska… - Plos one, 2024 - journals.plos.org
Lactate analysis plays an important role in sports science and training decisions for
optimising performance, endurance, and overall success in sports. Two parameters are …

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

A Zignoli, A Fornasiero, P Rota, V Muollo… - European Journal of …, 2022 - Taylor & Francis
The problem of the automatic determination of the first and second ventilatory thresholds
(VT1 and VT2) from cardiopulmonary exercise test (CPET) still leads to controversy. The …

Making cardiopulmonary exercise testing interpretable for clinicians

BJ Andonian, N Hardy, A Bendelac… - Current sports …, 2021 - journals.lww.com
Cardiopulmonary exercise testing (CPET) is a dynamic clinical tool for determining the
cause for a person's exercise limitation. CPET provides clinicians with fundamental …

Machine learning models for the automatic detection of exercise thresholds in cardiopulmonary exercising tests: from regression to generation to explanation

A Zignoli - Sensors, 2023 - mdpi.com
The cardiopulmonary exercise test (CPET) constitutes a gold standard for the assessment of
an individual's cardiovascular fitness. A trend is emerging for the development of new …

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

A Zignoli, A Fornasiero, M Ragni, B Pellegrini… - PLoS …, 2020 - journals.plos.org
Measurement of oxygen uptake during exercise (V˙ O 2) is currently non-accessible to most
individuals without expensive and invasive equipment. The goal of this pilot study was to …

Determination of the athletes' anaerobic threshold using machine learning methods

A Chikov, N Egorov, D Medvedev, S Chikova… - … Signal Processing and …, 2022 - Elsevier
Physiological indicators at the anaerobic threshold (AT) are an important diagnostic criterion
for determining the level of an athlete's fitness and one of the starting points for planning and …

Using machine learning to identify organ system specific limitations to exercise via cardiopulmonary exercise testing

JJ Portella, BJ Andonian, DE Brown… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Cardiopulmonary Exer cise Testing (CPET) is a unique physiologic medical test used to
evaluate human response to progressive maximal exercise stress. Depending on the …

[HTML][HTML] Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms

HM Cho, S Han, JK Seong, I Youn - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective The ventilatory threshold (VT) marks the transition from aerobic to
anaerobic metabolism and is used to assess cardiorespiratory endurance. A conventional …