Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach (2020)
- Authors:
- USP affiliated authors: SIQUEIRA, ADRIANO ALMEIDA GONÇALVES - EESC ; IBARRA, JUAN CARLOS PEREZ - EESC
- Unidade: EESC
- DOI: 10.1109/TNSRE.2020.3039999
- Subjects: DOENÇA DE PARKINSON; ROBÓTICA; PROCESSOS DE MARKOV; BIOMECÂNICA; ENGENHARIA MECÂNICA
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2020
- Source:
- Título do periódico: IEEE Transactions on Neural Systems and Rehabilitation Engineering
- ISSN: 1534-4320
- Volume/Número/Paginação/Ano: v. 28, n. 12, p. 2933-2943, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 20 abr. 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.2020.3039999 -
NLM
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 abr. 20 ] Available from: https://doi.org/10.1109/TNSRE.2020.3039999 -
Vancouver
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 abr. 20 ] Available from: https://doi.org/10.1109/TNSRE.2020.3039999 - Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device
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Informações sobre o DOI: 10.1109/TNSRE.2020.3039999 (Fonte: oaDOI API)
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