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Andrea Zignoli

Showing results (1-10 of 31) with videos related to

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Sensors (Basel, Switzerland)|January 21, 2023
Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to ExplanationAndrea Zignoli
Sensors (Basel, Switzerland)|November 27, 2025
Assessing Trajectories and Bike Handling Abilities in Road Cycling with Global Positioning System DataAndrea Zignoli
Journal of Biomechanics|December 10, 2020
Muscle and tendon stiffness and belly gearing positively correlate with rate of torque development during explosive fixed end contractionsAndrea Monte, Andrea Zignoli
Plos One|July 20, 2023
Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategiesAndrea Zignoli, Antoine Godin, Laurent Mourot
The Journal of Sports Medicine and Physical Fitness|March 8, 2023
The effects of a 6-hour ultra-endurance run on postexercise parasympathetic reactivation responsesAlessandro Fornasiero, Andrea Zignoli, Barbara Pellegrini, et al.
European Journal of Applied Physiology|July 27, 2025
Moderate heart rate-matched hypoxic exercise: autonomic and cardiovascular responses to different degrees of hypoxic stressAlessandro Fornasiero, Alicia González Represas, Andrea Zignoli, et al.
Sports Medicine (Auckland, N.Z.)|March 5, 2026
AI-Driven Analysis of Cardiopulmonary Exercise Tests to Identify Gas Exchange and Ventilatory ThresholdsDaniel A Keir, Andrea Zignoli, Danilo Iannetta, et al.
European Journal of Sport Science|May 18, 2026
Tracking Performance Limits Using Multi-Timescale Maximal Mean Power RatiosAndrea Zignoli, Andrea Giorgi, Filip Kolodziej, et al.
Neuroscience|April 9, 2026
Quantitative ultrasound radiofrequency analysis for monitoring Parkinson's diseaseBaptiste Bizet, Michele Trinchi, Francesca Nardello, et al.
European Journal of Sport Science|March 19, 2019
Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networksAndrea Zignoli, Alessandro Fornasiero, Federico Stella, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Sensors (Basel, Switzerland)|January 21, 2023
Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to ExplanationAndrea Zignoli
Sensors (Basel, Switzerland)|November 27, 2025
Assessing Trajectories and Bike Handling Abilities in Road Cycling with Global Positioning System DataAndrea Zignoli
Journal of Biomechanics|December 10, 2020
Muscle and tendon stiffness and belly gearing positively correlate with rate of torque development during explosive fixed end contractionsAndrea Monte, Andrea Zignoli
Plos One|July 20, 2023
Indoor running temporal variability for different running speeds, treadmill inclinations, and three different estimation strategiesAndrea Zignoli, Antoine Godin, Laurent Mourot
The Journal of Sports Medicine and Physical Fitness|March 8, 2023
The effects of a 6-hour ultra-endurance run on postexercise parasympathetic reactivation responsesAlessandro Fornasiero, Andrea Zignoli, Barbara Pellegrini, et al.
European Journal of Applied Physiology|July 27, 2025
Moderate heart rate-matched hypoxic exercise: autonomic and cardiovascular responses to different degrees of hypoxic stressAlessandro Fornasiero, Alicia González Represas, Andrea Zignoli, et al.
Sports Medicine (Auckland, N.Z.)|March 5, 2026
AI-Driven Analysis of Cardiopulmonary Exercise Tests to Identify Gas Exchange and Ventilatory ThresholdsDaniel A Keir, Andrea Zignoli, Danilo Iannetta, et al.
European Journal of Sport Science|May 18, 2026
Tracking Performance Limits Using Multi-Timescale Maximal Mean Power RatiosAndrea Zignoli, Andrea Giorgi, Filip Kolodziej, et al.
Neuroscience|April 9, 2026
Quantitative ultrasound radiofrequency analysis for monitoring Parkinson's diseaseBaptiste Bizet, Michele Trinchi, Francesca Nardello, et al.
European Journal of Sport Science|March 19, 2019
Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networksAndrea Zignoli, Alessandro Fornasiero, Federico Stella, et al.
Pageof 4