Literature DB >> 20805047

Volitional control of a prosthetic knee using surface electromyography.

Kevin H Ha1, Huseyin Atakan Varol, Michael Goldfarb.   

Abstract

This paper presents a method for providing volitional control of a powered knee prosthesis during nonweight-bearing activity such as sitting. The method utilizes an impedance framework, such that the joint can be programmed with a given stiffness and damping that reflects the nominal impedance properties of an intact joint. Volitional movement of the knee joint is commanded via the stiffness set-point angle of the joint impedance, which is commanded by the user as a function of the measured surface electromyogram (EMG) from the hamstring and quadriceps muscles of the residual limb. Rather than using the respective EMG measurements from these muscles to directly command the flexion or extension set point of the knee, the presented approach utilizes a combination of quadratic discriminant analysis and principal component analysis to align the user's intent to flex or extend the knee joint with the pattern of measured EMG. The approach was implemented on three transfemoral amputees, and their ability to control knee movement was characterized by a set of knee joint trajectory tracking tasks. Each amputee subject also performed the same set of trajectory tracking tasks with his sound side (intact) knee joint. The average root mean square trajectory tracking errors of the prosthetic knee employing the EMG-based volitional control and the intact knee of the three subjects were 6.2° and 5.2°, respectively.

Mesh:

Year:  2010        PMID: 20805047     DOI: 10.1109/TBME.2010.2070840

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


  34 in total

1.  Mechanisms contributing to reduced knee stiffness during movement.

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2.  Lower Limb Motion Estimation Using Ultrasound Imaging: A Framework for Assistive Device Control.

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Journal:  IEEE J Biomed Health Inform       Date:  2019-01-09       Impact factor: 5.772

3.  Recording of electric signal passing through a pylon in direct skeletal attachment of leg prostheses with neuromuscular control.

Authors:  M Pitkin; C Cassidy; R Muppavarapu; D Edell
Journal:  IEEE Trans Biomed Eng       Date:  2012-02-13       Impact factor: 4.538

4.  Piecewise and unified phase variables in the control of a powered prosthetic leg.

Authors:  Dario J Villarreal; David Quintero; Robert D Gregg
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

5.  Toward design of an environment-aware adaptive locomotion-mode-recognition system.

Authors:  Lin Du; Fan Zhang; Ming Liu; He Huang
Journal:  IEEE Trans Biomed Eng       Date:  2012-10       Impact factor: 4.538

6.  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

7.  System identification of physiological systems using short data segments.

Authors:  Daniel Ludvig; Eric J Perreault
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-28       Impact factor: 4.538

8.  Source selection for real-time user intent recognition toward volitional control of artificial legs.

Authors: 
Journal:  IEEE J Biomed Health Inform       Date:  2013-09       Impact factor: 5.772

9.  Preliminary study of the effect of user intent recognition errors on volitional control of powered lower limb prostheses.

Authors:  Fan Zhang; Ming Liu; He Huang
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

10.  Engineering platform and experimental protocol for design and evaluation of a neurally-controlled powered transfemoral prosthesis.

Authors:  Fan Zhang; Ming Liu; Stephen Harper; Michael Lee; He Huang
Journal:  J Vis Exp       Date:  2014-07-22       Impact factor: 1.355

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