Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study

This paper presents a potential solution to the challenge of configuring powered knee-ankle prostheses in a clinical setting. Typically, powered prostheses use impedance-based control schemes that contain several independent controllers which correspond to consecutive periods along the gait cycle. T...

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Main Authors: David Quintero, Emma Reznick, Daniel J. Lambert, Siavash Rezazadeh, Leslie Gray, Robert D. Gregg
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8543610/
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author David Quintero
Emma Reznick
Daniel J. Lambert
Siavash Rezazadeh
Leslie Gray
Robert D. Gregg
author_facet David Quintero
Emma Reznick
Daniel J. Lambert
Siavash Rezazadeh
Leslie Gray
Robert D. Gregg
author_sort David Quintero
collection DOAJ
description This paper presents a potential solution to the challenge of configuring powered knee-ankle prostheses in a clinical setting. Typically, powered prostheses use impedance-based control schemes that contain several independent controllers which correspond to consecutive periods along the gait cycle. This control strategy has numerous control parameters and switching rules that are generally tuned by researchers or technicians and not by a certified prosthetist. We propose an intuitive clinician control interface (CCI) in which clinicians tune a powered knee-ankle prosthesis based on a virtual constraint control scheme, which tracks desired periodic joint trajectories based on a continuous measurement of the phase (or progression) of gait. The interface derives virtual constraints from clinician-designed joint kinematic trajectories. An experiment was conducted in which a certified prosthetist used the control interface to configure a powered knee-ankle prosthesis for a transfemoral amputee subject during level-ground walking trials. While it usually takes engineers hours of tuning individual parameters by trial and error, the CCI allowed the clinician to tune the powered prosthesis controller in under 10 min. This allowed the clinician to improve several amputee gait outcome metrics, such as gait symmetry. These results suggest that the CCI can improve the clinical viability of emerging powered knee-ankle prostheses.
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spelling doaj.art-eccd54e59d724e50a8fdea8713c4d7662022-12-21T22:22:39ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722018-01-0161910.1109/JTEHM.2018.28801998543610Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case StudyDavid Quintero0https://orcid.org/0000-0001-5963-6730Emma Reznick1Daniel J. Lambert2Siavash Rezazadeh3Leslie Gray4https://orcid.org/0000-0003-2990-0240Robert D. Gregg5https://orcid.org/0000-0002-0729-2857Department of Bioengineering, The University of Texas at Dallas, Richardson, TX, USADepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, USADepartment of Electrical Engineering, The University of Texas at Dallas, Richardson, TX, USADepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, USADepartment of Health Care Sciences, The University of Texas Southwestern Medical Center, Dallas, TX, USADepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, USAThis paper presents a potential solution to the challenge of configuring powered knee-ankle prostheses in a clinical setting. Typically, powered prostheses use impedance-based control schemes that contain several independent controllers which correspond to consecutive periods along the gait cycle. This control strategy has numerous control parameters and switching rules that are generally tuned by researchers or technicians and not by a certified prosthetist. We propose an intuitive clinician control interface (CCI) in which clinicians tune a powered knee-ankle prosthesis based on a virtual constraint control scheme, which tracks desired periodic joint trajectories based on a continuous measurement of the phase (or progression) of gait. The interface derives virtual constraints from clinician-designed joint kinematic trajectories. An experiment was conducted in which a certified prosthetist used the control interface to configure a powered knee-ankle prosthesis for a transfemoral amputee subject during level-ground walking trials. While it usually takes engineers hours of tuning individual parameters by trial and error, the CCI allowed the clinician to tune the powered prosthesis controller in under 10 min. This allowed the clinician to improve several amputee gait outcome metrics, such as gait symmetry. These results suggest that the CCI can improve the clinical viability of emerging powered knee-ankle prostheses.https://ieeexplore.ieee.org/document/8543610/Prostheticsrobot controllegged locomotionuser interfaces
spellingShingle David Quintero
Emma Reznick
Daniel J. Lambert
Siavash Rezazadeh
Leslie Gray
Robert D. Gregg
Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
IEEE Journal of Translational Engineering in Health and Medicine
Prosthetics
robot control
legged locomotion
user interfaces
title Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
title_full Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
title_fullStr Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
title_full_unstemmed Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
title_short Intuitive Clinician Control Interface for a Powered Knee-Ankle Prosthesis: A Case Study
title_sort intuitive clinician control interface for a powered knee ankle prosthesis a case study
topic Prosthetics
robot control
legged locomotion
user interfaces
url https://ieeexplore.ieee.org/document/8543610/
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