Real-time simultaneous and proportional myoelectric control using intramuscular EMG

Objective. Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscu...

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Bibliographic Details
Published inJournal of neural engineering Vol. 11; no. 6; pp. 66013 - 13
Main Authors Smith, Lauren H, Kuiken, Todd A, Hargrove, Levi J
Format Journal Article
LanguageEnglish
Published England IOP Publishing 01.12.2014
Subjects
Computer Systems
Electromyography - instrumentation
Electromyography - methods
Female
Hand - physiology
Humans
intramuscular electromyography
Male
Movement - physiology
Muscle, Skeletal - physiology
Myoelectric Complex, Migrating - physiology
Myoelectric control
myoelectric prosthesis control
Pattern recognition
Prosthetics
Real time
Sequential control
Strategy
Tasks
upper limb prosthesis
Wrist
Wrist - physiology
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Abstract Objective. Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion extension, and hand open close) using intramuscular EMG. Approach. We evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs. Main results. Over the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency. Significance. These results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.
AbstractList Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion/extension, and hand open/close) using intramuscular EMG. We evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs. Over the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency. These results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.
Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion/extension, and hand open/close) using intramuscular EMG.OBJECTIVEMyoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion/extension, and hand open/close) using intramuscular EMG.We evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs.APPROACHWe evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs.Over the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency.MAIN RESULTSOver the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency.These results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.SIGNIFICANCEThese results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.
Objective. Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not allow simultaneous movement of multiple degrees of freedom (DOFs); however, the use of implantable devices that record intramuscular EMG signals could overcome this constraint. The objective of this study was to evaluate the real-time simultaneous control of three DOFs (wrist rotation, wrist flexion extension, and hand open close) using intramuscular EMG. Approach. We evaluated task performance of five able-bodied subjects in a virtual environment using two control strategies with fine-wire EMG: (i) parallel dual-site differential control, which enabled simultaneous control of three DOFs and (ii) pattern recognition control, which required sequential control of DOFs. Main results. Over the course of the experiment, subjects using parallel dual-site control demonstrated increased use of simultaneous control and improved performance in a Fitts' Law test. By the end of the experiment, performance using parallel dual-site control was significantly better (up to a 25% increase in throughput) than when using sequential pattern recognition control for tasks requiring multiple DOFs. The learning trends with parallel dual-site control suggested that further improvements in performance metrics were possible. Subjects occasionally experienced difficulty in performing isolated single-DOF movements with parallel dual-site control but were able to accomplish related Fitts' Law tasks with high levels of path efficiency. Significance. These results suggest that intramuscular EMG, used in a parallel dual-site configuration, can provide simultaneous control of a multi-DOF prosthetic wrist and hand and may outperform current methods that enforce sequential control.
Author Smith, Lauren H
Hargrove, Levi J
Kuiken, Todd A
AuthorAffiliation 3 Department of Physical Medicine and Rehabilitation at Northwestern University, Chicago, IL
2 Department of Biomedical Engineering at Northwestern University, Evanston, IL
1 Center for Bionic Medicine at the Rehabilitation Institute of Chicago, Chicago, IL
AuthorAffiliation_xml – name: 3 Department of Physical Medicine and Rehabilitation at Northwestern University, Chicago, IL
– name: 1 Center for Bionic Medicine at the Rehabilitation Institute of Chicago, Chicago, IL
– name: 2 Department of Biomedical Engineering at Northwestern University, Evanston, IL
Author_xml – sequence: 1
  givenname: Lauren H
  surname: Smith
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  email: lauren-smith@northwestern.edu
  organization: Northwestern University Department of Biomedical Engineering at , Evanston, IL, USA
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  givenname: Todd A
  surname: Kuiken
  fullname: Kuiken, Todd A
  email: tkuiken@northwestern.edu
  organization: Northwestern University Department of Physical Medicine and Rehabilitation at , Chicago, IL, USA
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  givenname: Levi J
  surname: Hargrove
  fullname: Hargrove, Levi J
  email: l-hargrove@northwestern.edu
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/25394366$$D View this record in MEDLINE/PubMed
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Snippet Objective. Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control...
Myoelectric prostheses use electromyographic (EMG) signals to control movement of prosthetic joints. Clinically available myoelectric control strategies do not...
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StartPage 66013
SubjectTerms Computer Systems
Electromyography - instrumentation
Electromyography - methods
Female
Hand - physiology
Humans
intramuscular electromyography
Male
Movement - physiology
Muscle, Skeletal - physiology
Myoelectric Complex, Migrating - physiology
Myoelectric control
myoelectric prosthesis control
Pattern recognition
Prosthetics
Real time
Sequential control
Strategy
Tasks
upper limb prosthesis
Wrist
Wrist - physiology
Title Real-time simultaneous and proportional myoelectric control using intramuscular EMG
URI https://iopscience.iop.org/article/10.1088/1741-2560/11/6/066013
https://www.ncbi.nlm.nih.gov/pubmed/25394366
https://www.proquest.com/docview/1628239355
https://www.proquest.com/docview/1793289740
https://pubmed.ncbi.nlm.nih.gov/PMC4268782
Volume 11
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