PESENTI, MATTIA

PESENTI, MATTIA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A Backbone-Tracking Passive Exoskeleton to Reduce the Stress on the Low-Back: Proof of Concept Study 1-gen-2022 Pesenti M.Gandolla M.Pedrocchi A. +
IMU-based human activity recognition and payload classification for low-back exoskeletons 1-gen-2023 Pesenti M.Invernizzi G.Mazzella J.Bocciolone M.Pedrocchi A.Gandolla M.
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients 1-gen-2022 Prelaj, ArselaMiskovic, VanjaPesenti, MattiaMazzeo, LauraMarinacci, RobertoManglaviti, SaraRestelli, MarcelloTrovo, FrancescoPedrocchi, Alessandra Laura Giulia +
Sensor-Based Task Ergonomics Feedback for a Passive Low-Back Exoskeleton 1-gen-2022 Pesenti, MGandolla, MOuyang, SPedrocchi, ACovarrubias, MarioRoveda, L +
Towards a functional performance validation standard for industrial low-back exoskeletons: State of the art review 1-gen-2021 Pesenti M.Antonietti A.Gandolla M.Pedrocchi A.
User-Centered Back-Support Exoskeleton: Design and Prototyping 1-gen-2022 Roveda L.Pesenti M.Covarrubias MarioPedrocchi A.Braghin F.Gandolla M. +