Jul 18, 2019

Webinar: Human-machine Interfacing via Real-time Neuromechanical Modeling

Learn about a system for real-time model-based control of bionic limbs and robotic exoskeletons

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A recording of the event is available for viewing.

Details

Title:Human-machine Interfacing via Real-time Neuromechanical Modeling
Speaker: Massimo Sartori, Ph.D., University of Twente
Time: Thursday, July 18, 2019 at 10:00 a.m. Pacific Time

Abstract

The development of movement enhancement technologies requires the profound understanding of the neuro-mechanical processes underlying an individual’s motor function, impairment, and recovery. A major challenge is the difficulty of accessing the in vivo neural activity underlying human movement concurrently with the resulting mechanical forces elicited at the musculoskeletal level. Key factors for addressing this challenge are the development of techniques for interfacing with the human nervous system and for the accurate decoding of the resulting motor function. Sartori and his team have been able to combine neuro-mechanical modelling and high-density electromyography in a translational way to address this challenge. In this webinar, Sartori will discuss his new methodologies and his applications to develop bioinspired technologies for restoring natural motor function. Sartori will focus on real-time model-based control of bionic limbs and robotic exoskeletons. He will show how this can be achieved by using OpenSim and the CEINMS open-source toolbox.

To learn more about the research presented, you can refer to the following publications:

• HD-EMG decomposition:
  [1] Francesco Negro et al 2016 J. Neural Eng. 13 02602. DOI: https://doi.org/10.1088/1741-2560/13/2/026027
• Motor neuron-driven musculoskeletal modelling:
  [1] M. Sartori, U. S. Yavuz, and D. Farina, “In Vivo Neuromechanics: Decoding Causal Motor Neuron Behavior with Resulting Musculoskeletal Function,” Sci. Rep., vol. 7, p. 13465, 2017.
• Real-time EMG-driven musculoskeletal modelling:
  [1] G. Durandau, D. Farina, and M. Sartori, "Robust Real-Time Musculoskeletal Modeling Driven by Electromyograms," IEEE Trans. Biomed. Eng., vol. 65, no. 3, pp. 556–564, May 2018.
• Model-based control of bionic limbs in amputees:
  [1] M. Sartori, G. Durandau, S. Dosen, and D. Farina, "Robust Simultaneous Myoelectric Control of Multiple Degrees of Freedom in Wrist-Hand Prostheses by Real-Time Neuromusculoskeletal Modeling", J. Neural Eng., vol. VV, no. II, p. PP, 2018.
• Model-based control of exoskeletons in neurologically impaired patients:
  [1] G. Durandau et al., "Voluntary control of wearable robotic exoskeletons by patients with paresis via neuromechanical modeling,"J. Neuroeng. Rehabil., vol. 16, no. 1, p. 91, 2019.

Also, responses to questions that Dr. Sartori did not have an opportunity to address during the webinar can be found, here.

In addition to the OpenSim software package, several other software and models were used for the work presented in the webinar, including:

• CEINMS: Calibrated EMG-Informed Neuromusculoskeletal Modelling Toolbox
• MTU Splines: Software for fast estimation of lengths and three-dimensional moment arms for musculotendon actuators
• Arm-Hand Model: OpenSim models for characterizing the musculoskeletal kinematics in the primate hand
• Real-Time EMG-Informed Modeling Tools