Source: Bioengineering. Unidades: EACH, EEFE
Assunto: INTELIGÊNCIA ARTIFICIAL
ABNT
BECKER, Klaus Magno et al. Can machines identify pain effects? a machine learning proof of concept to identify EMG pain signature. Bioengineering, v. 13, n. ja 2026, p. 01-13, 2026Tradução . . Disponível em: http://dx.doi.org/10.3390/bioengineering13020141. Acesso em: 25 abr. 2026.APA
Becker, K. M., Parolini, F. C. S., Silva, V. de P., Boas, J. P. V., Nielsen, T. G., Ervilha, U. F., & Goethel, M. F. (2026). Can machines identify pain effects? a machine learning proof of concept to identify EMG pain signature. Bioengineering, 13( ja 2026), 01-13. doi:10.3390/bioengineering13020141NLM
Becker KM, Parolini FCS, Silva V de P, Boas JPV, Nielsen TG, Ervilha UF, Goethel MF. Can machines identify pain effects? a machine learning proof of concept to identify EMG pain signature [Internet]. Bioengineering. 2026 ; 13( ja 2026): 01-13.[citado 2026 abr. 25 ] Available from: http://dx.doi.org/10.3390/bioengineering13020141Vancouver
Becker KM, Parolini FCS, Silva V de P, Boas JPV, Nielsen TG, Ervilha UF, Goethel MF. Can machines identify pain effects? a machine learning proof of concept to identify EMG pain signature [Internet]. Bioengineering. 2026 ; 13( ja 2026): 01-13.[citado 2026 abr. 25 ] Available from: http://dx.doi.org/10.3390/bioengineering13020141
