Literature DB >> 30969914

An Ankle-Foot Prosthesis Emulator Capable of Modulating Center of Pressure.

Vincent L Chiu, Alexandra S Voloshina, Steven H Collins.   

Abstract

OBJECTIVE: Several powered ankle-foot prostheses have demonstrated moderate reductions in energy expenditure by restoring pushoff work in late stance or by assisting with balance. However, it is possible that center of pressure trajectory modulation could provide even further improvements in user performance. Here, we describe the design of a prosthesis emulator with two torque-controlled forefoot digits and a torque-controlled heel digit. Independent actuation of these three digits can modulate the origin and magnitude of the total ground reaction force vector.
METHODS: The emulator was designed to be compact and lightweight while exceeding the range of motion and torque requirements of the biological ankle during walking. We ran a series of tests to determine torque-measurement accuracy, closed-loop torque control bandwidth, torque-tracking error, and center of pressure control accuracy.
RESULTS: Each of the three digits demonstrated less than 2 Nm of RMS torque measurement error, a 90% rise time of 19 ms, and a bandwidth of 33 Hz. The untethered end-effector has a mass of 1.2 kg. During walking trials, the emulator demonstrated less than 2 Nm of RMS torque-tracking error and was able to maintain full digit ground contact for 56% of stance. In fixed, standing, and walking conditions, the emulator was able to control center of pressure along a prescribed pattern with RMS errors of about 10% the length of the pattern.
CONCLUSION: The proposed emulator system meets all design criteria and can effectively modulate center of pressure and ground reaction force magnitude. SIGNIFICANCE: This emulator system will enable rapid development of controllers designed to enhance user balance and reduce user energy expenditure. Experiments conducted using this emulator could identify beneficial control behaviors that can be implemented on autonomous devices, thus improving mobility and quality of life of individuals with amputation.

Mesh:

Year:  2019        PMID: 30969914     DOI: 10.1109/TBME.2019.2910071

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Using force data to self-pace an instrumented treadmill and measure self-selected walking speed.

Authors:  Seungmoon Song; Hojung Choi; Steven H Collins
Journal:  J Neuroeng Rehabil       Date:  2020-06-03       Impact factor: 4.262

2.  Shortcomings of human-in-the-loop optimization of an ankle-foot prosthesis emulator: a case series.

Authors:  Cara Gonzalez Welker; Alexandra S Voloshina; Vincent L Chiu; Steven H Collins
Journal:  R Soc Open Sci       Date:  2021-05-05       Impact factor: 2.963

3.  Robotic Emulation of Candidate Prosthetic Foot Designs May Enable Efficient, Evidence-Based, and Individualized Prescriptions.

Authors:  Joshua M Caputo; Evan Dvorak; Kate Shipley; Mary Ann Miknevich; Peter G Adamczyk; Steven H Collins
Journal:  J Prosthet Orthot       Date:  2021-12-30

4.  Design and clinical implementation of an open-source bionic leg.

Authors:  Alejandro F Azocar; Luke M Mooney; Jean-François Duval; Ann M Simon; Levi J Hargrove; Elliott J Rouse
Journal:  Nat Biomed Eng       Date:  2020-10-05       Impact factor: 25.671

5.  Characterizing the performance of human leg external force control.

Authors:  Pawel Kudzia; Stephen N Robinovich; J Maxwell Donelan
Journal:  Sci Rep       Date:  2022-03-23       Impact factor: 4.379

  5 in total

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