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Adaptive variable impedance applied to robotic rehabilitation of walking

Grant number: 13/14756-0
Support type:Regular Research Grants
Duration: July 01, 2014 - June 30, 2016
Field of knowledge:Engineering - Mechanical Engineering
Principal Investigator:Adriano Almeida Gonçalves Siqueira
Grantee:Adriano Almeida Gonçalves Siqueira
Home Institution: Escola de Engenharia de São Carlos (EESC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

This research project aims to develop an adaptive strategy based on variable impedance for walking rehabilitation of pos-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 project. The device has three degrees of freedom, acting at hip, knee, ankle joints using series elastic actuators. The second device, named Anklebot, has active actuation in two ankle joints (dorsi/plantarflexion and inversion/eversion) by controlling the impedance of the interface between the device and the user. The proposed adaptive strategy considers the variation of the mechanical impedance of the robotic device's joint based on performance and participation of the patient during the therapy session. It will be proposed cost functions that seek to optimize the interaction between patient and robot, aiming a faster recovery. The performance and participation of patients will be evaluated by means of the data from motion and force, and myoelectric signals captured from the main muscles of walking. The evaluation of the proposed strategy will initially be held in volunteers. (AU)

Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PEREZ-IBARRA, JUAN C.; SIQUEIRA, ADRIANO A. G.; KREBS, HERMANO IGO. 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, MAR 1 2020. Web of Science Citations: 0.
DOS SANTOS, WILIAN M.; SIQUEIRA, ADRIANO A. G. Optimal impedance via model predictive control for robot-aided rehabilitation. CONTROL ENGINEERING PRACTICE, v. 93, DEC 2019. Web of Science Citations: 0.
PEREZ-IBARRA, JUAN C.; SIQUEIRA, ADRIANO A. G.; SILVA-COUTO, MARCELA A.; DE RUSSO, THIAGO L.; KREBS, HERMANO I. Adaptive Impedance Control Applied to Robot-Aided Neuro-Rehabilitation of the Ankle. IEEE ROBOTICS AND AUTOMATION LETTERS, v. 4, n. 2, p. 185-192, APR 2019. Web of Science Citations: 2.
PENA, GUIDO G.; CONSONI, LEONARDO J.; DOS SANTOS, WILIAN M.; SIQUEIRA, ADRIANO A. G. Feasibility of an optimal EMG-driven adaptive impedance control applied to an active knee orthosis. ROBOTICS AND AUTONOMOUS SYSTEMS, v. 112, p. 98-108, FEB 2019. Web of Science Citations: 3.
SANCHEZ, MANUEL R. A.; LEAL-JUNIOR, ARNALDO G.; SEGATTO, V, MARCELO; MARQUES, CARLOS; DOS SANTOS, WILIAN M.; SIQUEIRA, ADRIANO A. G.; FRIZERA, ANSELMO. Fiber Bragg grating-based sensor for torque and angle measurement in a series elastic actuator's spring. APPLIED OPTICS, v. 57, n. 27, p. 7883-7890, SEP 20 2018. Web of Science Citations: 3.
JUTINICO, ANDRES L.; JAIMES, JONATHAN C.; ESCALANTE, FELIX M.; PEREZ-IBARRA, JUAN C.; TERRA, MARCO H.; SIQUEIRA, ADRIANO A. G. Impedance Control for Robotic Rehabilitation: A Robust Markovian Approach. FRONTIERS IN NEUROROBOTICS, v. 11, AUG 24 2017. Web of Science Citations: 6.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.