Assessing fractal dimension methods as feature extractors for EMG signal classification (2014)
Source: Engineering Applications of Artificial Intelligence. Unidade: EACH
Subjects: ELETROMIOGRAFIA, INTELIGÊNCIA ARTIFICIAL, INTERFACE HOMEM-COMPUTADOR, APRENDIZADO COMPUTACIONAL
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COELHO, André L.V e LIMA, Clodoaldo Aparecido de Moraes. Assessing fractal dimension methods as feature extractors for EMG signal classification. Engineering Applications of Artificial Intelligence, v. no 2014, p. 81-98, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2014.07.009. Acesso em: 05 dez. 2025.APA
Coelho, A. L. V., & Lima, C. A. de M. (2014). Assessing fractal dimension methods as feature extractors for EMG signal classification. Engineering Applications of Artificial Intelligence, no 2014, 81-98. doi:10.1016/j.engappai.2014.07.009NLM
Coelho ALV, Lima CA de M. Assessing fractal dimension methods as feature extractors for EMG signal classification [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; no 2014 81-98.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2014.07.009Vancouver
Coelho ALV, Lima CA de M. Assessing fractal dimension methods as feature extractors for EMG signal classification [Internet]. Engineering Applications of Artificial Intelligence. 2014 ; no 2014 81-98.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1016/j.engappai.2014.07.009
