Fonte: Biomedical Signal Processing and Control. Unidade: ICMC
Assuntos: PROCESSAMENTO DE SINAIS BIOMÉDICOS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ELETROENCEFALOGRAFIA, EPILEPSIA, TECNOLOGIAS DA SAÚDE
ABNT
OLIVA, Jefferson Tales e ROSA, João Luís Garcia. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, v. 66, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.102469. Acesso em: 06 nov. 2024.APA
Oliva, J. T., & Rosa, J. L. G. (2021). Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection. Biomedical Signal Processing and Control, 66, 1-16. doi:10.1016/j.bspc.2021.102469NLM
Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469Vancouver
Oliva JT, Rosa JLG. Binary and multiclass classifiers based on multitaper spectral features for epilepsy detection [Internet]. Biomedical Signal Processing and Control. 2021 ; 66 1-16.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.bspc.2021.102469