Literature DB >> 33022611

Powered knee and ankle prosthesis with indirect volitional swing control enables level-ground walking and crossing over obstacles.

Joel Mendez1, Sarah Hood1, Andy Gunnel1, Tommaso Lenzi2.   

Abstract

Powered prostheses aim to mimic the missing biological limb with controllers that are finely tuned to replicate the nominal gait pattern of non-amputee individuals. Unfortunately, this control approach poses a problem with real-world ambulation, which includes tasks such as crossing over obstacles, where the prosthesis trajectory must be modified to provide adequate foot clearance and ensure timely foot placement. Here, we show an indirect volitional control approach that enables prosthesis users to walk at different speeds while smoothly and continuously crossing over obstacles of different sizes without explicit classification of the environment. At the high level, the proposed controller relies on a heuristic algorithm to continuously change the maximum knee flexion angle and the swing duration in harmony with the user's residual limb. At the low level, minimum-jerk planning is used to continuously adapt the swing trajectory while maximizing smoothness. Experiments with three individuals with above-knee amputation show that the proposed control approach allows for volitional control of foot clearance, which is necessary to negotiate environmental barriers. Our study suggests that a powered prosthesis controller with intrinsic, volitional adaptability may provide prosthesis users with functionality that is not currently available, facilitating real-world ambulation.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2020        PMID: 33022611      PMCID: PMC8020725          DOI: 10.1126/scirobotics.aba6635

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  28 in total

1.  Energy expenditure and biomechanical characteristics of lower limb amputee gait: the influence of prosthetic alignment and different prosthetic components.

Authors:  Thomas Schmalz; Siegmar Blumentritt; Rolf Jarasch
Journal:  Gait Posture       Date:  2002-12       Impact factor: 2.840

2.  A Cyber Expert System for Auto-Tuning Powered Prosthesis Impedance Control Parameters.

Authors:  He Huang; Dustin L Crouch; Ming Liu; Gregory S Sawicki; Ding Wang
Journal:  Ann Biomed Eng       Date:  2015-09-25       Impact factor: 3.934

Review 3.  Microprocessor prosthetic knees.

Authors:  Dale Berry
Journal:  Phys Med Rehabil Clin N Am       Date:  2006-02       Impact factor: 1.784

4.  Stepping over an obstacle increases the motions and moments of the joints of the trailing limb in young adults.

Authors:  L S Chou; L F Draganich
Journal:  J Biomech       Date:  1997-04       Impact factor: 2.712

5.  Depth Sensing for Improved Control of Lower Limb Prostheses.

Authors:  Nili Eliana Krausz; Tommaso Lenzi; Levi J Hargrove
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-22       Impact factor: 4.538

6.  Control of stair ascent and descent with a powered transfemoral prosthesis.

Authors:  Brian Edward Lawson; Huseyin Atakan Varol; Amanda Huff; Erdem Erdemir; Michael Goldfarb
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-10-19       Impact factor: 3.802

7.  Biomechanics of below-knee amputee gait.

Authors:  D A Winter; S E Sienko
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

8.  Continuous locomotion-mode identification for prosthetic legs based on neuromuscular-mechanical fusion.

Authors:  He Huang; Fan Zhang; Levi J Hargrove; Zhi Dou; Daniel R Rogers; Kevin B Englehart
Journal:  IEEE Trans Biomed Eng       Date:  2011-07-14       Impact factor: 4.538

9.  Preliminary Evaluations of a Self-Contained Anthropomorphic Transfemoral Prosthesis.

Authors:  Frank Sup; Huseyin Atakan Varol; Jason Mitchell; Thomas J Withrow; Michael Goldfarb
Journal:  IEEE ASME Trans Mechatron       Date:  2009       Impact factor: 5.303

10.  A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis.

Authors:  Siavash Rezazadeh; David Quintero; Nikhil Divekar; Emma Reznick; Leslie Gray; Robert D Gregg
Journal:  IEEE Access       Date:  2019-08-06       Impact factor: 3.367

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  5 in total

1.  Phase-Variable Control of a Powered Knee-Ankle Prosthesis over Continuously Varying Speeds and Inclines.

Authors:  T Kevin Best; Kyle R Embry; Elliott J Rouse; Robert D Gregg
Journal:  Rep U S       Date:  2021-12-16

2.  Stand-Up, Squat, Lunge, and Walk With a Robotic Knee and Ankle Prosthesis Under Shared Neural Control.

Authors:  Grace Hunt; Sarah Hood; Tommaso Lenzi
Journal:  IEEE Open J Eng Med Biol       Date:  2021-08-11

3.  Powered Knee and Ankle Prosthesis with Adaptive Control Enables Climbing Stairs with Different Stair Heights, Cadences, and Gait Patterns.

Authors:  Sarah Hood; Lukas Gabert; Tommaso Lenzi
Journal:  IEEE Trans Robot       Date:  2022-03-22       Impact factor: 6.835

4.  Evaluating Electromyography and Sonomyography Sensor Fusion to Estimate Lower-Limb Kinematics Using Gaussian Process Regression.

Authors:  Kaitlin G Rabe; Nicholas P Fey
Journal:  Front Robot AI       Date:  2022-03-21

5.  Powered knee and ankle prostheses enable natural ambulation on level ground and stairs for individuals with bilateral above-knee amputation: a case study.

Authors:  Sarah Hood; Suzi Creveling; Lukas Gabert; Minh Tran; Tommaso Lenzi
Journal:  Sci Rep       Date:  2022-09-14       Impact factor: 4.996

  5 in total

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