Alessandro Santuz

ORCID iD
https://orcid.org/0000-0002-6577-5101
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Ale Santuz

Sources:
Alessandro Santuz (2018-01-16)

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Germany

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Alessandro Santuz (2018-01-16)

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Personal website

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Alessandro Santuz (2018-01-16)

Mendeley profile

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Elsevier - Mendeley (2018-08-14)

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Alessandro Santuz (2017-10-20)

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Loop profile: 469448

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Loop (2017-08-23)

Scopus Author ID: 56910247700

Sources:
Scopus - Elsevier (2018-01-16)

Biography

My research focuses on the modular control of human walking and running using the concept of muscle synergies. The main idea is to improve our understanding of how humans organise their neural pathways to move over even and uneven terrain in steady and unsteady conditions. Complementary approaches: local dynamic stability (maximum Lyapunov exponent), energy cost estimation, muscle-tendon unit interaction, muscle fascicle behaviour.
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