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Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH
Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH
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Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH

Donisi, Leandro ; Capodaglio, Edda ; Pagano, Gaetano ; Amitrano, Federica ; Cesarelli, Mario ; Panigazzi, Monica ; D'Addio, Giovanni

2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2022, p.1-6

IEEE

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Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments
Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments
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Ata de Congresso 		Adicionar ao Meu Espaço

Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments

Pagano, Gaetano ; Donisi, Leandro ; Marsico, Vito ; Losavio, Ernesto ; Cesarelli, Mario ; D'Addio, Giovanni

2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2021, p.1-5

IEEE

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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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