Jun 06, 2013

Webinar: Muscle Excitation-driven Musculoskeletal Modeling and Future Applications to Neurorehabilitation Technologies

Massimo Sartori and Claudio Pizzolato introduce a novel neuromusculoskeletal model of the human lower extremity that can be driven by different estimates of muscle excitation.

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Details

Title: Muscle Excitation-driven Musculoskeletal Modeling and Future Applications to Neurorehabilitation Technologies

Speakers:
Massimo Sartori, Department of Neurorehabilitation Engineering, University Medical Center Gottingen
Claudio Pizzolato, Musculoskeletal Research Centre, Griffith University

Time: Thursday, June 6, 2013 at 2:00 p.m. Pacific Daylight Time

Abstract

Understanding the mechanisms underlying human movement is a fundamental question in biomechanics and neurophysiology. The main limitation is the current inability to link the mechanisms taking place at the neurophysiologic level with those taking place at the musculoskeletal level in the intact human.

In this webinar, Sartori will introduce and discuss a novel neuromusculoskeletal model of the human lower extremity as a potential way to fill this gap. The model can be driven by different estimates of muscle excitation. These include:

  • experimentally recorded electromyograms (EMGs)
  • minimally adjusted EMGs to account for joint moment tracking errors and limitations in surface electromyography
  • muscle excitation primitives of low dimensionality

These input data are used by the neuromusculoskeletal model to predict the resulting multi-muscular and multi-articular dynamics in the human lower extremity during a variety of dynamic motor tasks. Sartori will then describe the implications of this methodology for developing neuromuscular human-machine interfaces.

To further promote the utilization, validation, and acceptance of neuromusculoskeletal modeling, a neuromuscular toolbox has been created that integrates these muscle excitation-driven methodologies into a common framework. Sartori will describe the toolbox's general structure while Pizzolato will demonstrate how to use it to integrate EMG-driven simulations of human movement into the OpenSim framework.

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