Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle (2019)
- Authors:
- USP affiliated authors: SIQUEIRA, ADRIANO ALMEIDA GONÇALVES - EESC ; IBARRA, JUAN CARLOS PEREZ - EESC ; COUTO, MARCELA DE ABREU SILVA - EESC
- Unidade: EESC
- DOI: 10.1109/LRA.2018.2885165
- Subjects: SENSORES ÓPTICOS; FILTROS DE KALMAN; ROBÓTICA; REABILITAÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ
- Date published: 2019
- Source:
- Título: IEEE Robotics and Automation Letters
- ISSN: 2377-3766
- Volume/Número/Paginação/Ano: v. 4, n. 2, p. 185-195, Apr. 2019
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PÉREZ IBARRA, Juan Carlos et al. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, v. 4, n. 2, p. 185-195, 2019Tradução . . Disponível em: https://doi.org/10.1109/LRA.2018.2885165. Acesso em: 01 nov. 2024. -
APA
Pérez Ibarra, J. C., Siqueira, A. A. G., Silva-Couto, M. A., Russo, T. L., & Krebs, H. I. (2019). Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle. IEEE Robotics and Automation Letters, 4( 2), 185-195. doi:10.1109/LRA.2018.2885165 -
NLM
Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LRA.2018.2885165 -
Vancouver
Pérez Ibarra JC, Siqueira AAG, Silva-Couto MA, Russo TL, Krebs HI. Adaptive impedance control applied to robot-aided neuro-rehabilitation of the ankle [Internet]. IEEE Robotics and Automation Letters. 2019 ; 4( 2): 185-195.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/LRA.2018.2885165 - On pilot studies for robotic therapy: the relevance of healthy subjects’ motor control responses to protocol design
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- Identification of gait events in healthy subjects and with parkinson’s disease using inertial sensors: an adaptive unsupervised learning approach
- Real-time identification of impaired gait phases using a single foot-mounted inertial sensor: review and feasibility study
- Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach
- Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results
- Comparison of kinematic and EMG parameters between unassisted, fixed- and adaptive-stiffness robotic-assisted ankle movements in post-stroke subjects
- Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects
- Controle de impedância adaptativo aplicado à reabilitação robótica do tornozelo
Informações sobre o DOI: 10.1109/LRA.2018.2885165 (Fonte: oaDOI API)
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