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Search Results - Trecroci, A.

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  1. 1

    Can data-driven supervised machine learning approaches applied to infrared thermal imaging data estimate muscular activity and fatigue?

    Perpetuini, D., Formenti, D., Cardone, D., Trecroci, A., Rossi, A., Di Credico, A., Merati, G., Alberti, G., Di Baldassarre, A., Merla, A.
    Published in Sensors (2023)
    “…Trecroci, A.…”
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  2. 2

    Bilateral asymmetry of skin temperature is not related to bilateral asymmetry of crank torque during an incremental cycling exercise to exhaustion

    Trecroci, A., Formenti, D., Ludwig, N., Gargano, M., Bosio, A., Rampinini, E., Alberti, G.
    Published in PeerJ (2018)
    “…Trecroci, A.…”
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skin EMG activation biomechanics cycling energy fatigue load maximum measuring and information system measuring procedure movement muscle muscle physiology relation sensor technology temperature

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