[HTML][HTML] Improved estimation of exercise intensity thresholds by combining dual non-invasive biomarker concepts: correlation properties of heart rate variability and …

B Rogers, M Schaffarczyk, T Gronwald - Sensors, 2023 - mdpi.com
Identifying exercise intensity boundaries has been shown to be important during endurance
training for performance enhancement and rehabilitation. Unfortunately, even though …

[HTML][HTML] Reliability and validity of a non-linear index of heart rate variability to determine intensity thresholds

N Sempere-Ruiz, JM Sarabia, S Baladzhaeva… - Frontiers in …, 2024 - frontiersin.org
Exercise intensity distribution is crucial for exercise individualization, prescription, and
monitoring. As traditional methods to determine intensity thresholds present limitations, heart …

[HTML][HTML] Influence of artefact correction and recording device type on the practical application of a non-linear heart rate variability biomarker for aerobic threshold …

B Rogers, D Giles, N Draper, L Mourot, T Gronwald - Sensors, 2021 - mdpi.com
Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using
detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT) …

[HTML][HTML] 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) …

[HTML][HTML] Real-time estimation of aerobic threshold and exercise intensity distribution using fractal correlation properties of heart rate variability: a single-case field …

T Gronwald, S Berk, M Altini, L Mourot… - Frontiers in sports and …, 2021 - frontiersin.org
A non-linear heart rate variability (HRV) index based on fractal correlation properties called
alpha1 of Detrended Fluctuation Analysis (DFA-alpha1), has been shown to change with …

[HTML][HTML] Estimation of physiological exercise thresholds based on dynamical correlation properties of heart rate variability

M Kanniainen, T Pukkila, J Kuisma, M Molkkari… - Frontiers in …, 2023 - frontiersin.org
Aerobic and anaerobic thresholds of the three-zone exercise model are often used to
evaluate the exercise intensity and optimize the training load. Conventionally, these …

[HTML][HTML] Fractal correlation properties of HRV as a noninvasive biomarker to assess the physiological status of triathletes during simulated warm-up sessions at low …

M Schaffarczyk, B Rogers, R Reer… - BMC Sports Science …, 2022 - Springer
Background The non-linear index alpha 1 of Detrended Fluctuation Analysis (DFA a1) of
heart rate variability, has been shown to be a marker of fatigue during endurance exercise …

[HTML][HTML] Aerobic threshold identification in a cardiac disease population based on correlation properties of heart rate variability

B Rogers, L Mourot, T Gronwald - Journal of clinical medicine, 2021 - mdpi.com
An index of heart rate (HR) variability correlation properties, the short-term scaling exponent
alpha1 of detrended fluctuation analysis (DFA a1) has shown potential to delineate the first …

Heart rate variability and its association with second ventilatory threshold estimation in maximal exercise test

I Alikhani, K Noponen, M Tulppo… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
During incremental exercise, two ventilatory thresholds (VT1, VT2) can normally be
identified from gas exchange and ventilatory measurements, such as oxygen uptake, carbon …

Correlation properties of heart rate variability to assess the first ventilatory threshold and fatigue in runners

B Van Hooren, B Mennen, T Gronwald… - Journal of sports …, 2023 - Taylor & Francis
Purpose The short-term scaling exponent alpha1 of detrended fluctuation analysis (DFA-a1)
of heart rate variability (HRV) has shown potential to delineate the first ventilatory threshold …