Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Unidade: EESC
Subjects: DOENÇA DE PARKINSON, ROBÓTICA, PROCESSOS DE MARKOV, BIOMECÂNICA, ENGENHARIA MECÂNICA
ABNT
PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves e KREBS, Hermano Igo. Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, v. 28, n. 12, p. 2933-2943, 2020Tradução . . Disponível em: https://doi.org/10.1109/TNSRE.2020.3039999. Acesso em: 04 nov. 2024.APA
Pérez Ibarra, J. C., Siqueira, A. A. G., & Krebs, H. I. (2020). Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28( 12), 2933-2943. doi:10.1109/TNSRE.2020.3039999NLM
Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach [Internet]. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020 ; 28( 12): 2933-2943.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TNSRE.2020.3039999Vancouver
Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach [Internet]. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020 ; 28( 12): 2933-2943.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TNSRE.2020.3039999