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

Leandro Donisi, Edda Maria Capodaglio, Gaetano Pagano, Federica Amitrano, Mario Cesarelli, Monica Panigazzi, Giovanni D'Addio. Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH. In IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, Messina, Italy, June 22-24, 2022. pages 1-6, IEEE, 2022. [doi]

Abstract

Abstract is missing.