Fabienne Durand
Biographic Data
| ID | 6890982 |
|---|---|
| NAME | Fabienne Durand |
| GIVEN NAMES | Fabienne |
| FAMILY NAME | Durand |
| SIGNATURE | DURAND F |
| AFFILIATIONS | Université de Perpignan |
| ORCID | 0000-0002-6157-4855 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year
Background Continuous wearable monitoring generates high-volume data, yet methods to translate these streams into actionable recovery insights for elite athletes remain scarce. This study applied a multi-layer, unsupervised machine-learning pipeline to characterize nightly recovery states and season-long physiological phenotypes In Olympic-level French canoe-kayak paddlers. Methods Seventeen national-team athletes (9 women) were followed for 5,85…
The role of machine learning methods in physiological explorations of endurance trained athletes
Endurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances. From the use of the Douglas bag to measure gas exchange to the development of wearable connected devices, advances in physiological explorations have enabled us to move from the classic but still widely used cardiopulmonary exercise test (CPET) to the collection of data under real conditions on…
Exercise-Induced Hypoxemia in Endurance Athletes
Exercise-induced hypoxemia (EIH) is well-described in endurance-trained athletes during both maximal and submaximal exercise intensities. Despite the drop in oxygen (O 2 ) saturation and provided that training volumes are similar, athletes who experience EIH nevertheless produce the same endurance performance in normoxia as athletes without EIH. This lack of a difference prompted trainers to consider that the phenomenon was not relevant to perfor…
No prominent works on this page.
Exercise-Induced Hypoxemia in Endurance Athletes
Exercise-induced hypoxemia (EIH) is well-described in endurance-trained athletes during both maximal and submaximal exercise intensities. Despite the drop in oxygen (O 2 ) saturation and provided that training volumes are similar, athletes who experience EIH nevertheless produce the same endurance performance in normoxia as athletes without EIH. This lack of a difference prompted trainers to consider that the phenomenon was not relevant to perfor…
The role of machine learning methods in physiological explorations of endurance trained athletes
Endurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances. From the use of the Douglas bag to measure gas exchange to the development of wearable connected devices, advances in physiological explorations have enabled us to move from the classic but still widely used cardiopulmonary exercise test (CPET) to the collection of data under real conditions on…
Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year
Background Continuous wearable monitoring generates high-volume data, yet methods to translate these streams into actionable recovery insights for elite athletes remain scarce. This study applied a multi-layer, unsupervised machine-learning pipeline to characterize nightly recovery states and season-long physiological phenotypes In Olympic-level French canoe-kayak paddlers. Methods Seventeen national-team athletes (9 women) were followed for 5,85…
Athletes (2 works) · Biology (1 work) · Cardiology (1 work) · Cardiovascular and Diving-Related Complications (1 work) · Chemistry (1 work) · Chronic Obstructive Pulmonary Disease (COPD) Research (1 work) · Cluster analysis (1 work) · Discriminator (1 work) · Elite Athletes (1 work) · Endurance Training (1 work)