Filtros : "Siqueira, Adriano Almeida Gonçalves" "2020" Removidos: "Nogueira, Samuel Lourenço" "Grécia" "Espanhol" Limpar

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  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: ROBÓTICA, BIOMECÂNICA, MARCHA

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      PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device. IEEE Sensors Journal, v. 20, n. 5, p. 2616-2624, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2019.2951923. Acesso em: 26 ago. 2024.
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      Pérez Ibarra, J. C., & Siqueira, A. A. G. (2020). Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device. IEEE Sensors Journal, 20( 5), 2616-2624. doi:10.1109/JSEN.2019.2951923
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      Pérez Ibarra JC, Siqueira AAG. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device [Internet]. IEEE Sensors Journal. 2020 ; 20( 5): 2616-2624.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/JSEN.2019.2951923
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      Pérez Ibarra JC, Siqueira AAG. Real-time identification of gait events in impaired subjects using a single-IMU foot-mounted device [Internet]. IEEE Sensors Journal. 2020 ; 20( 5): 2616-2624.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/JSEN.2019.2951923
  • Source: Proceedings. Conference titles: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob. Unidade: EESC

    Subjects: MODELOS MATEMÁTICOS, GEOMETRIA E MODELAGEM COMPUTACIONAL, ROBÓTICA, ENGENHARIA MECÂNICA

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      MOSCONI, Denis et al. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics. 2020, Anais.. Piscataway, NJ, USA: IEEE, 2020. Disponível em: https://doi.org/10.1109/BioRob49111.2020.9224436. Acesso em: 26 ago. 2024.
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      Mosconi, D., Nunes, P. F., Ostan, Í., & Siqueira, A. A. G. (2020). Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BioRob49111.2020.9224436
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      Mosconi D, Nunes PF, Ostan Í, Siqueira AAG. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224436
    • Vancouver

      Mosconi D, Nunes PF, Ostan Í, Siqueira AAG. Design and validation of a human-exoskeleton model for evaluating interaction controls applied to rehabilitation robotics [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224436
  • Source: Proceedings. Conference titles: 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Unidade: EESC

    Subjects: ROBÓTICA, SENSOR, INTELIGÊNCIA ARTIFICIAL

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      PÉREZ IBARRA, Juan Carlos et al. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects. Proceedings. [s.l.]: IEEE/ASME. Disponível em: https://doi.org/10.1109/AIM43001.2020.9158938. Acesso em: 26 ago. 2024. , 2020
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      Pérez Ibarra, J. C., Siqueira, A. A. G., Terra, M. H., & Krebs, H. I. (2020). Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects. Proceedings. [s.l.]: IEEE/ASME. doi:10.1109/AIM43001.2020.9158938
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      Pérez Ibarra JC, Siqueira AAG, Terra MH, Krebs HI. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/AIM43001.2020.9158938
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Terra MH, Krebs HI. Hybrid simulated annealing and genetic algorithm for optimization of a rule-based algorithm for detection of gait events in impaired subjects [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/AIM43001.2020.9158938
  • Source: Memorias. Conference titles: Congreso Iberoamericano de Tecnologías de Apoyo a la Discapacidad - Iberdiscap. Unidade: EESC

    Subjects: ROBÓTICA, JOELHO, APARELHOS ORTOPÉDICOS

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      NUNES, Polyana Ferreira e MOSCONI, Denis e SIQUEIRA, Adriano Almeida Gonçalves. Control design inspired by primitive motors to coordinate the functioning of an active knee orthosis for robotic rehabilitation. 2020, Anais.. General San Martín: Instituto Nacional de Tecnología Industrial - INTI, 2020. Disponível em: https://repositorio.usp.br/directbitstream/a4608cba-f602-4334-9b93-c95be0f860cc/prod_022897_sysno_3005454.pdf. Acesso em: 26 ago. 2024.
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      Nunes, P. F., Mosconi, D., & Siqueira, A. A. G. (2020). Control design inspired by primitive motors to coordinate the functioning of an active knee orthosis for robotic rehabilitation. In Memorias. General San Martín: Instituto Nacional de Tecnología Industrial - INTI. Recuperado de https://repositorio.usp.br/directbitstream/a4608cba-f602-4334-9b93-c95be0f860cc/prod_022897_sysno_3005454.pdf
    • NLM

      Nunes PF, Mosconi D, Siqueira AAG. Control design inspired by primitive motors to coordinate the functioning of an active knee orthosis for robotic rehabilitation [Internet]. Memorias. 2020 ;[citado 2024 ago. 26 ] Available from: https://repositorio.usp.br/directbitstream/a4608cba-f602-4334-9b93-c95be0f860cc/prod_022897_sysno_3005454.pdf
    • Vancouver

      Nunes PF, Mosconi D, Siqueira AAG. Control design inspired by primitive motors to coordinate the functioning of an active knee orthosis for robotic rehabilitation [Internet]. Memorias. 2020 ;[citado 2024 ago. 26 ] Available from: https://repositorio.usp.br/directbitstream/a4608cba-f602-4334-9b93-c95be0f860cc/prod_022897_sysno_3005454.pdf
  • Source: Frontiers in Robotics and AI. Unidade: EESC

    Subjects: MEMBROS INFERIORES, ROBÓTICA, ENGENHARIA MECÂNICA

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      NUNES, Polyana Ferreira e OSTAN, Ícaro e SIQUEIRA, Adriano Almeida Gonçalves. Evaluation of motor primitive-based adaptive control for lower limb exoskeletons. Frontiers in Robotics and AI, v. 7, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.3389/frobt.2020.575217. Acesso em: 26 ago. 2024.
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      Nunes, P. F., Ostan, Í., & Siqueira, A. A. G. (2020). Evaluation of motor primitive-based adaptive control for lower limb exoskeletons. Frontiers in Robotics and AI, 7, 1-13. doi:10.3389/frobt.2020.575217
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      Nunes PF, Ostan Í, Siqueira AAG. Evaluation of motor primitive-based adaptive control for lower limb exoskeletons [Internet]. Frontiers in Robotics and AI. 2020 ; 7 1-13.[citado 2024 ago. 26 ] Available from: https://doi.org/10.3389/frobt.2020.575217
    • Vancouver

      Nunes PF, Ostan Í, Siqueira AAG. Evaluation of motor primitive-based adaptive control for lower limb exoskeletons [Internet]. Frontiers in Robotics and AI. 2020 ; 7 1-13.[citado 2024 ago. 26 ] Available from: https://doi.org/10.3389/frobt.2020.575217
  • Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering. Unidade: EESC

    Subjects: DOENÇA DE PARKINSON, ROBÓTICA, PROCESSOS DE MARKOV, BIOMECÂNICA, ENGENHARIA MECÂNICA

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      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: 26 ago. 2024.
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      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
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      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 ago. 26 ] 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 ago. 26 ] Available from: https://doi.org/10.1109/TNSRE.2020.3039999
  • Unidade: EESC

    Subjects: ROBÓTICA, REALIDADE VIRTUAL, ROBÓTICA

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      CONSONI, Leonardo José. Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments. 2020. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/18/18149/tde-01062020-111015/. Acesso em: 26 ago. 2024.
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      Consoni, L. J. (2020). Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/18/18149/tde-01062020-111015/
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      Consoni LJ. Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments [Internet]. 2020 ;[citado 2024 ago. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18149/tde-01062020-111015/
    • Vancouver

      Consoni LJ. Adaptive passivity control for haptic transparency enhancement of multilateral robotic telerehabilitation in virtual reality environments [Internet]. 2020 ;[citado 2024 ago. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18149/tde-01062020-111015/
  • Unidade: EESC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, ACIDENTE VASCULAR CEREBRAL, REABILITAÇÃO, ROBÓTICA

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      PEREIRA, Denis César Mosconi. Interaction models between humans and lower-limbs exoskeletons applied to robotic neurorehabilitation. 2020. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-12042023-111154/. Acesso em: 26 ago. 2024.
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      Pereira, D. C. M. (2020). Interaction models between humans and lower-limbs exoskeletons applied to robotic neurorehabilitation (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/18/18162/tde-12042023-111154/
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      Pereira DCM. Interaction models between humans and lower-limbs exoskeletons applied to robotic neurorehabilitation [Internet]. 2020 ;[citado 2024 ago. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-12042023-111154/
    • Vancouver

      Pereira DCM. Interaction models between humans and lower-limbs exoskeletons applied to robotic neurorehabilitation [Internet]. 2020 ;[citado 2024 ago. 26 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-12042023-111154/
  • Source: IFAC-PapersOnLine. Conference titles: IFAC World Congress. Unidade: EESC

    Subjects: IMPEDÂNCIA ELÉTRICA, INTERAÇÃO HOMEM-MÁQUINA, ROBÓTICA, ENGENHARIA ELÉTRICA

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      ESCALANTE, Felix M et al. Robust markovian impedance control applied to a modular knee-exoskeleton. IFAC-PapersOnLine. Laxenburg, Austria: Elsevier. Disponível em: https://doi.org/10.1016/j.ifacol.2020.12.2740. Acesso em: 26 ago. 2024. , 2020
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      Escalante, F. M., Pérez Ibarra, J. C., Jaimes, J. C., Siqueira, A. A. G., & Terra, M. H. (2020). Robust markovian impedance control applied to a modular knee-exoskeleton. IFAC-PapersOnLine. Laxenburg, Austria: Elsevier. doi:10.1016/j.ifacol.2020.12.2740
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      Escalante FM, Pérez Ibarra JC, Jaimes JC, Siqueira AAG, Terra MH. Robust markovian impedance control applied to a modular knee-exoskeleton [Internet]. IFAC-PapersOnLine. 2020 ; 53( 2): 10141-10147.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.ifacol.2020.12.2740
    • Vancouver

      Escalante FM, Pérez Ibarra JC, Jaimes JC, Siqueira AAG, Terra MH. Robust markovian impedance control applied to a modular knee-exoskeleton [Internet]. IFAC-PapersOnLine. 2020 ; 53( 2): 10141-10147.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1016/j.ifacol.2020.12.2740
  • Source: Memorias. Conference titles: Congreso Iberoamericano de Tecnologías de Apoyo a la Discapacidad - Iberdiscap. Unidade: EESC

    Assunto: ROBÓTICA

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      MOSCONI, Denis e NUNES, Polyana Ferreira e SIQUEIRA, Adriano Almeida Gonçalves. Feasibility study of human-exoskeleton computer model to simulate interaction controls for robotic assisted rehabilitation. 2020, Anais.. General San Martín: Instituto Nacional de Tecnología Industrial - INTI, 2020. Disponível em: https://repositorio.usp.br/directbitstream/ff72f22a-d0f9-48ec-ae34-824a1ebccba3/prod_022896_sysno_3005453.pdf. Acesso em: 26 ago. 2024.
    • APA

      Mosconi, D., Nunes, P. F., & Siqueira, A. A. G. (2020). Feasibility study of human-exoskeleton computer model to simulate interaction controls for robotic assisted rehabilitation. In Memorias. General San Martín: Instituto Nacional de Tecnología Industrial - INTI. Recuperado de https://repositorio.usp.br/directbitstream/ff72f22a-d0f9-48ec-ae34-824a1ebccba3/prod_022896_sysno_3005453.pdf
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      Mosconi D, Nunes PF, Siqueira AAG. Feasibility study of human-exoskeleton computer model to simulate interaction controls for robotic assisted rehabilitation [Internet]. Memorias. 2020 ;[citado 2024 ago. 26 ] Available from: https://repositorio.usp.br/directbitstream/ff72f22a-d0f9-48ec-ae34-824a1ebccba3/prod_022896_sysno_3005453.pdf
    • Vancouver

      Mosconi D, Nunes PF, Siqueira AAG. Feasibility study of human-exoskeleton computer model to simulate interaction controls for robotic assisted rehabilitation [Internet]. Memorias. 2020 ;[citado 2024 ago. 26 ] Available from: https://repositorio.usp.br/directbitstream/ff72f22a-d0f9-48ec-ae34-824a1ebccba3/prod_022896_sysno_3005453.pdf
  • Source: Proceedings. Conference titles: IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics - BioRob. Unidade: EESC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, PROCESSOS DE MARKOV, ENGENHARIA MECÂNICA, MARCHA

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      PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves e KREBS, Hermano Igo. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results. 2020, Anais.. Piscataway, NJ, USA: IEEE, 2020. Disponível em: https://doi.org/10.1109/BioRob49111.2020.9224404. Acesso em: 26 ago. 2024.
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      Pérez Ibarra, J. C., Siqueira, A. A. G., & Krebs, H. I. (2020). Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/BioRob49111.2020.9224404
    • NLM

      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Adaptive gait phase segmentation based on the time-varying identification of the ankle dynamics: technique and simulation results [Internet]. Proceedings. 2020 ;[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/BioRob49111.2020.9224404
  • Source: IEEE Sensors Journal. Unidade: EESC

    Subjects: HEURÍSTICA, SENSOR, APRENDIZADO COMPUTACIONAL, MARCHA, ENGENHARIA MECÂNICA

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      PÉREZ IBARRA, Juan Carlos e SIQUEIRA, Adriano Almeida Gonçalves e KREBS, Hermano Igo. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach. IEEE Sensors Journal, v. 20, n. 24, p. 14984-14993, 2020Tradução . . Disponível em: https://doi.org/10.1109/JSEN.2020.3011627. Acesso em: 26 ago. 2024.
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      Pérez Ibarra, J. C., Siqueira, A. A. G., & Krebs, H. I. (2020). Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach. IEEE Sensors Journal, 20( 24), 14984-14993. doi:10.1109/JSEN.2020.3011627
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      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach [Internet]. IEEE Sensors Journal. 2020 ; 20( 24): 14984-14993.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/JSEN.2020.3011627
    • Vancouver

      Pérez Ibarra JC, Siqueira AAG, Krebs HI. Identification of gait events in healthy and parkinson’s disease subjects using inertial sensors: a supervised learning approach [Internet]. IEEE Sensors Journal. 2020 ; 20( 24): 14984-14993.[citado 2024 ago. 26 ] Available from: https://doi.org/10.1109/JSEN.2020.3011627
  • Source: Sensors. Unidade: EESC

    Subjects: SENSORES ÓPTICOS, FIBRA ÓPTICA, POLÍMEROS (MATERIAIS), ROBÓTICA

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      LEAL-JUNIOR, Arnaldo et al. Polymer optical fiber-based integrated instrumentation in a robot-assisted rehabilitation smart environment: a proof of concept. Sensors, v. 20, n. 3199, p. 01-16, 2020Tradução . . Disponível em: https://doi.org/10.3390/s20113199. Acesso em: 26 ago. 2024.
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      Leal-Junior, A., Avellar, L., Jaimes, J. C., Díaz, C., Santos, W. dos, Siqueira, A. A. G., et al. (2020). Polymer optical fiber-based integrated instrumentation in a robot-assisted rehabilitation smart environment: a proof of concept. Sensors, 20( 3199), 01-16. doi:10.3390/s20113199
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      Leal-Junior A, Avellar L, Jaimes JC, Díaz C, Santos W dos, Siqueira AAG, Pontes MJ, Marques C, Frizera Neto A. Polymer optical fiber-based integrated instrumentation in a robot-assisted rehabilitation smart environment: a proof of concept [Internet]. Sensors. 2020 ; 20( 3199): 01-16.[citado 2024 ago. 26 ] Available from: https://doi.org/10.3390/s20113199
    • Vancouver

      Leal-Junior A, Avellar L, Jaimes JC, Díaz C, Santos W dos, Siqueira AAG, Pontes MJ, Marques C, Frizera Neto A. Polymer optical fiber-based integrated instrumentation in a robot-assisted rehabilitation smart environment: a proof of concept [Internet]. Sensors. 2020 ; 20( 3199): 01-16.[citado 2024 ago. 26 ] Available from: https://doi.org/10.3390/s20113199

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