Toward Impedance Control in Human-Machine Interfaces for Upper-Limb Prostheseshttps://www.embs.org/tbme/wp-content/uploads/sites/19/2024/08/TBME-00437-2023-Website_Image.jpg789444IEEE Transactions on Biomedical Engineering (TBME)IEEE Transactions on Biomedical Engineering (TBME)//www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png
We present a framework that uses muscle-tendon models driven by electromyographic signals from antagonist muscles to enable control of kinematics, stiffness and damping of a simulated 1-Degree of Freedom robot.
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A framework for the evaluation of Human Machine Interfaces of robot-assisted colonoscopyhttps://www.embs.org/tbme/wp-content/uploads/sites/19/2024/01/TBME-00602-2023-Website_Image.jpeg1477832IEEE Transactions on Biomedical Engineering (TBME)IEEE Transactions on Biomedical Engineering (TBME)//www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png
The paper presents the first complete framework for assessing Human Machine Interfaces in robotic colonoscopy, aiming at identifying an optimal interface that minimizes clinician effort while maximizing clinical outcomes.
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Author(s)3: Moon Ki Jung, Silvia Muceli, Camila Rodrigues, Álvaro Megía-García, Alejandro Pascual-Valdunciel, Antonio J. del-Ama, Angel Gil-Agudo, Juan C. Moreno, Filipe Oliveira Barroso, José L. Pons, Dario Farina
Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patientshttps://www.embs.org/tbme/wp-content/uploads/sites/19/2021/12/TBME-02406-2020-Highlight-Image.png605605IEEE Transactions on Biomedical Engineering (TBME)IEEE Transactions on Biomedical Engineering (TBME)//www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png
EMG-driven neuromusculoskeletal (NMS) modelling approaches have been developed to estimate user-intended joint moments. This study proposes intramuscular EMG-driven NMS modelling as a control method applied to recordings from muscle implants with the long-term goal of applications in assistive exoskeletons for spinal cord injury (SCI) patients. We recorded intramuscular EMG (iEMG) and provided joint torque predictions based on the NMS model. The approach was applied to healthy individuals as well as incomplete SCI patients. The results showed high correlation between experimental and predicted joint torques as well as comparable performance when using non-invasive and implanted EMG systems.
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