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Patient-tailored Adaptive Control for Robot-aided Orthopaedic Rehabilitation

Christian Tamantini, Francesca Cordella, Clemente Lauretti, Francesco Scotto di Luzio, Marco Bravi, Federica Bressi, Francesco Draicchio, Silvia Sterzi, Loredana Zollo

Year
2022
Citations
14

Abstract

Robot-aided rehabilitation is pushing forward novel robotic architectures to provide physical therapy. This paper presents a patient-tailored control architecture for upper-limb robot-aided orthopaedic rehabilitation capable of i) adapting the robot workspace on the basis of patient Range of Motion (RoM); ii) generating a tunnel, around the desired path to be followed by the patient, which guarantees spatial autonomy; iii) introducing a back-wall inside the tunnel sliding with variable speed on the basis of patient performance to ensure temporal autonomy; iv) rehabilitating to working gestures, thanks to a DMP-based trajectory planner, with the aim of favoring an effective translation of the patient's motor recovery results to the occupational sphere; v) ensuring a patient-tailored assistance also thanks to the evaluation of performance indicators. The designed system was validated demonstrating the adaptability of the system to orthopaedic patient motor imnrovements.

Keywords

WorkspaceRobotTrajectoryAdaptabilityComputer scienceRehabilitationPhysical medicine and rehabilitationSimulationHuman–computer interactionArtificial intelligence

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