Aurélien Patoz

University of Lausanne

Switzerland

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Articles (10)

Concurrent endurance training with either plyometric or dynamic body-weight training both improve running economy with minimal or no changes in running biomechanics

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Year:

2023

Biomechanical adaptations during exhaustive runs at 90 to 120% of peak aerobic speed

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Year:

2023

Accurate estimation of peak vertical ground reaction force using the duty factor in level treadmill running

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Year:

2023

Comparison of different machine learning models to enhance sacral acceleration-based estimations of running stride temporal variables and peak vertical ground reaction force

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Year:

2023

The Nike Vaporfly 4%: a game changer to improve performance without biomechanical explanation yet

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Year:

2022

Duty factor and foot-strike pattern do not represent similar running pattern at the individual level

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Year:

2022

Examination of running pattern consistency across speeds

Article Link

Year:

2022

Both a single sacral marker and the whole-body center of mass accurately estimate peak vertical ground reaction force in running

Article Link

Year:

2021

Critical speed estimated by statistically appropriate fitting procedures

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Year:

2021

Footstrike pattern at the 10 km and 39 km points of the Singapore marathon in recreational runners

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Year:

2021

Collaborators (5)

Davide Malatesta

University of Lausanne

SWITZERLAND

Laurent Mourot

Associate Professor

Université de Franche-Comté

FRANCE

Kim Hébert-Losier

Senior Lecturer

University of Waikato

NEW ZEALAND

Bastiaan Breine

Ghent University

BELGIUM

Fabio Borrani

SWITZERLAND

Aurélien Patoz

Research Interests

Explore related searches

Contact this professor

Articles (10)

Concurrent endurance training with either plyometric or dynamic body-weight training both improve running economy with minimal or no changes in running biomechanics

Biomechanical adaptations during exhaustive runs at 90 to 120% of peak aerobic speed

Accurate estimation of peak vertical ground reaction force using the duty factor in level treadmill running

Comparison of different machine learning models to enhance sacral acceleration-based estimations of running stride temporal variables and peak vertical ground reaction force

The Nike Vaporfly 4%: a game changer to improve performance without biomechanical explanation yet

Duty factor and foot-strike pattern do not represent similar running pattern at the individual level

Examination of running pattern consistency across speeds

Both a single sacral marker and the whole-body center of mass accurately estimate peak vertical ground reaction force in running

Critical speed estimated by statistically appropriate fitting procedures

Footstrike pattern at the 10 km and 39 km points of the Singapore marathon in recreational runners

Collaborators (5)

Davide Malatesta

Laurent Mourot

Kim Hébert-Losier

Bastiaan Breine

Fabio Borrani

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