Literature DB >> 24187191

Design of a wearable perturbator for human knee impedance estimation during gait.

Michael R Tucker, Adrian Moser, Olivier Lambercy, James Sulzer, Roger Gassert.   

Abstract

Mechanical impedance modulation is the key to natural, stable and efficient human locomotion. An improved understanding of this mechanism is necessary for the development of the next generation of intelligent prosthetic and orthotic devices. This paper documents the design methodologies that were employed to realize a knee perturbator that can experimentally estimate human knee impedance during gait through the application of angular velocity perturbations. The proposed experiment requires a light, transparent, wearable, and remotely actuated device that closely follows the movement of the biological joint. A genetic algorithm was used to design a polycentric hinge whose instantaneous center of rotation is optimized to be kinematically compatible with the human knee. A wafer disc clutch was designed to switch between a high transparency passive mode and a high impedance actuated mode. A remote actuation and transmission scheme was designed to enable high power output perturbations while minimizing the device's mass. Position and torque sensors were designed for device control and to provide data for post-processing and joint impedance estimation. Pending the fabrication and mechanical testing of the device, we expect this knee perturbator to be a valuable tool for experimental investigation of locomotive joint impedance modulation.

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Year:  2013        PMID: 24187191     DOI: 10.1109/ICORR.2013.6650372

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  7 in total

1.  Parameterizing Human Locomotion Across Quasi-Random Treadmill Perturbations and Inclines.

Authors:  Rebecca Macaluso; Kyle Embry; Dario J Villarreal; Robert D Gregg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-03-02       Impact factor: 3.802

2.  A Perturbation Mechanism for Investigations of Phase-Dependent Behavior in Human Locomotion.

Authors:  Dario J Villarreal; David Quintero; Robert D Gregg
Journal:  IEEE Access       Date:  2016-02-29       Impact factor: 3.367

Review 3.  Control strategies for active lower extremity prosthetics and orthotics: a review.

Authors:  Michael R Tucker; Jeremy Olivier; Anna Pagel; Hannes Bleuler; Mohamed Bouri; Olivier Lambercy; José Del R Millán; Robert Riener; Heike Vallery; Roger Gassert
Journal:  J Neuroeng Rehabil       Date:  2015-01-05       Impact factor: 4.262

Review 4.  Spinal plasticity in robot-mediated therapy for the lower limbs.

Authors:  Andrew Jt Stevenson; Natalie Mrachacz-Kersting; Edwin van Asseldonk; Duncan L Turner; Erika G Spaich
Journal:  J Neuroeng Rehabil       Date:  2015-09-17       Impact factor: 4.262

Review 5.  Robot-aided assessment of lower extremity functions: a review.

Authors:  Serena Maggioni; Alejandro Melendez-Calderon; Edwin van Asseldonk; Verena Klamroth-Marganska; Lars Lünenburger; Robert Riener; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2016-08-02       Impact factor: 4.262

6.  Knee Impedance Modulation to Control an Active Orthosis Using Insole Sensors.

Authors:  Ana Cecilia Villa-Parra; Denis Delisle-Rodriguez; Jessica Souza Lima; Anselmo Frizera-Neto; Teodiano Bastos
Journal:  Sensors (Basel)       Date:  2017-11-28       Impact factor: 3.576

7.  Assessment of an Assistive Control Approach Applied in an Active Knee Orthosis Plus Walker for Post-Stroke Gait Rehabilitation.

Authors:  Ana Cecilia Villa-Parra; Jessica Lima; Denis Delisle-Rodriguez; Laura Vargas-Valencia; Anselmo Frizera-Neto; Teodiano Bastos
Journal:  Sensors (Basel)       Date:  2020-04-26       Impact factor: 3.576

  7 in total

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