Adaptive variable impedance applied to robotic rehabilitation of walking

• Processo: 15/50376-2
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Vigência: 01 de março de 2016 - 31 de outubro de 2017
• Área do conhecimento: Engenharias - Engenharia Mecânica
• Convênio/Acordo: MIT
• Pesquisador responsável: Adriano Almeida Gonçalves Siqueira
• Beneficiário: Adriano Almeida Gonçalves Siqueira
• Pesq. responsável no exterior: Hermano Igo Krebs
• Instituição no exterior: Massachusetts Institute of Technology (MIT), Estados Unidos
• Instituição Sede: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brasil
• Assunto(s): Controle adaptativo
• Palavra(s)-Chave do Pesquisador: Avaliacao Clinica | Controle Adaptativo | Controle De Impedancia | Reabilitacao Robotica | Telereabilitacao

Resumo

The main objective is to develop an adaptive strategy based on variable impedance for walking rehabilitation of post-stroke patients. The proposed strategy will be evaluated in two different robotic devices. The first device is the lower limb exoskeleton Exo-Kanguera, designed and built by the proposer in previous projects. The device has three degrees of freedom, acting at hip, knee, and ankle joints using series elastic actuators. The second device, named Anklebot, has active actuation in two ankle joints (dorsi/plantar flexion and inversion/version) by controlling the mechanical impedance of the interface between the device and the user. The proposed adaptive strategy considers the variation of the mechanical impedance of the robots joints based on the performance and participation of the patient during the therapy session, according to the four sub-systems: Robust Position Estimation, Impedance Control, Patient/Exoskeleton Interaction Mode, and Adaptive Impedance Strategy. The proposal is mainly related to the sub-systems Patient/Exoskeleton Interaction Model and Adaptive Impedance Strategy. (AU)

Publicações científicas

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

PEREZ-IBARRA, JUAN C.; SIQUEIRA, ADRIANO A. G.; KREBS, HERMANO I.. 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, DEC 15 2020. (19/05937-7, 15/50376-2)

PEREZ-IBARRA, JUAN C.; SIQUEIRA, ADRIANO A. G.; KREBS, HERMANO I.. 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, DEC 2020. (15/50376-2, 13/14756-0)