Literature DB >> 22563231

Patient training for functional use of pattern recognition-controlled prostheses.

Ann M Simon1, Blair A Lock, Kathy A Stubblefield.   

Abstract

Pattern recognition control systems have the potential to provide better, more reliable myoelectric prosthesis control for individuals with an upper-limb amputation. However, proper patient training is essential. We begin user training by teaching the concepts of pattern recognition control and progress to teaching how to control, use, and maintain prostheses with one or many degrees of freedom. Here we describe the training stages, with relevant case studies, and highlight several tools that can be used throughout the training process, including prosthesis-guided training (PGT)-a self-initiated, simple method of recalibrating a pattern recognition-controlled prosthesis. PGT may lengthen functional use times, potentially increasing prosthesis wear time. Using this training approach, we anticipate advancing pattern recognition control from the laboratory to the home environment and finally realizing the full potential of these control systems.

Entities:  

Year:  2012        PMID: 22563231      PMCID: PMC3339840          DOI: 10.1097/JPO.0b013e3182515437

Source DB:  PubMed          Journal:  J Prosthet Orthot        ISSN: 1040-8800


  13 in total

1.  Target Achievement Control Test: evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses.

Authors:  Ann M Simon; Levi J Hargrove; Blair A Lock; Todd A Kuiken
Journal:  J Rehabil Res Dev       Date:  2011

2.  Examining the adverse effects of limb position on pattern recognition based myoelectric control.

Authors:  E Scheme; A Fougner; Ø Stavdahl; A C Chan; K Englehart
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

Review 3.  Targeted reinnervation for improved prosthetic function.

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

4.  Online electromyographic control of a robotic prosthesis.

Authors:  Pradeep Shenoy; Kai J Miller; Beau Crawford; Rajesh N Rao
Journal:  IEEE Trans Biomed Eng       Date:  2008-03       Impact factor: 4.538

5.  A real-time pattern recognition based myoelectric control usability study implemented in a virtual environment.

Authors:  L Hargrove; Y Losier; B Lock; K Englehart; B Hudgins
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

6.  The effects of electrode size and orientation on the sensitivity of myoelectric pattern recognition systems to electrode shift.

Authors:  Aaron J Young; Levi J Hargrove; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-09       Impact factor: 4.538

7.  Assessment of capacity for myoelectric control: a new Rasch-built measure of prosthetic hand control.

Authors:  Liselotte M Hermansson; Anne G Fisher; Birgitta Bernspång; Ann-Christin Eliasson
Journal:  J Rehabil Med       Date:  2005-05       Impact factor: 2.912

8.  A decision-based velocity ramp for minimizing the effect of misclassifications during real-time pattern recognition control.

Authors:  Ann M Simon; Levi J Hargrove; Blair A Lock; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2011-05-16       Impact factor: 4.538

9.  Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms.

Authors:  Todd A Kuiken; Guanglin Li; Blair A Lock; Robert D Lipschutz; Laura A Miller; Kathy A Stubblefield; Kevin B Englehart
Journal:  JAMA       Date:  2009-02-11       Impact factor: 56.272

10.  Quantifying pattern recognition-based myoelectric control of multifunctional transradial prostheses.

Authors:  Guanglin Li; Aimee E Schultz; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-01-12       Impact factor: 3.802

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  23 in total

1.  Targeted muscle reinnervation and advanced prosthetic arms.

Authors:  Jennifer E Cheesborough; Lauren H Smith; Todd A Kuiken; Gregory A Dumanian
Journal:  Semin Plast Surg       Date:  2015-02       Impact factor: 2.314

2.  Two degrees of freedom quasi-static EMG-force at the wrist using a minimum number of electrodes.

Authors:  Edward A Clancy; Carlos Martinez-Luna; Marek Wartenberg; Chenyun Dai; Todd R Farrell
Journal:  J Electromyogr Kinesiol       Date:  2017-03-29       Impact factor: 2.368

3.  Classification Performance and Feature Space Characteristics in Individuals With Upper Limb Loss Using Sonomyography.

Authors:  Susannah Engdahl; Ananya Dhawan; Ahmed Bashatah; Guoqing Diao; Biswarup Mukherjee; Brian Monroe; Rahsaan Holley; Siddhartha Sikdar
Journal:  IEEE J Transl Eng Health Med       Date:  2022-01-06       Impact factor: 3.316

4.  A Comparison of Pattern Recognition Control and Direct Control of a Multiple Degree-of-Freedom Transradial Prosthesis.

Authors:  Todd A Kuiken; Laura A Miller; Kristi Turner; Levi J Hargrove
Journal:  IEEE J Transl Eng Health Med       Date:  2016-11-22       Impact factor: 3.316

5.  A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.

Authors:  Michael A Powell; Nitish V Thakor
Journal:  J Prosthet Orthot       Date:  2013-01-01

6.  A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study.

Authors:  Aidan Dominic Roche; Ivan Vujaklija; Sebastian Amsüss; Agnes Sturma; Peter Göbel; Dario Farina; Oskar C Aszmann
Journal:  J Vis Exp       Date:  2015-11-06       Impact factor: 1.355

7.  EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability.

Authors:  Linda Resnik; Frantzy Acluche; Matt Borgia; Gail Latlief; Sam Phillips
Journal:  IEEE J Transl Eng Health Med       Date:  2018-12-24       Impact factor: 3.316

8.  Understanding Limb Position and External Load Effects on Real-Time Pattern Recognition Control in Amputees.

Authors:  Yuni Teh; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-05-11       Impact factor: 3.802

Review 9.  Toward higher-performance bionic limbs for wider clinical use.

Authors:  Dario Farina; Ivan Vujaklija; Rickard Brånemark; Anthony M J Bull; Hans Dietl; Bernhard Graimann; Levi J Hargrove; Klaus-Peter Hoffmann; He Helen Huang; Thorvaldur Ingvarsson; Hilmar Bragi Janusson; Kristleifur Kristjánsson; Todd Kuiken; Silvestro Micera; Thomas Stieglitz; Agnes Sturma; Dustin Tyler; Richard F Ff Weir; Oskar C Aszmann
Journal:  Nat Biomed Eng       Date:  2021-05-31       Impact factor: 25.671

Review 10.  Non-invasive control interfaces for intention detection in active movement-assistive devices.

Authors:  Joan Lobo-Prat; Peter N Kooren; Arno H A Stienen; Just L Herder; Bart F J M Koopman; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2014-12-17       Impact factor: 4.262

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