Literature DB >> 28560117

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

Todd A Kuiken1,2, Laura A Miller1,2, Kristi Turner1, Levi J Hargrove1,2.   

Abstract

With existing conventional prosthesis control (direct control), individuals with a transradial amputation use two opposing muscle groups to control each prosthesis motor. As component complexity increases, subjects must switch the prosthesis into different modes to control each component in sequence. Pattern recognition control offers the ability to control multiple movements in a seamless manner without switching. In this paper, three individuals with a transradial amputation completed a home trial to compare direct control and pattern recognition control of a multiple degree-of-freedom prosthesis. Outcome measures before and after the home trial, together with subject questionnaires, were used to evaluate functional control. Although small, this trial has implications for the implementation of pattern recognition in commercial control systems and for future research studies.

Entities:  

Keywords:  Prosthetics; myoelectric; pattern recognition; transradial amputation

Year:  2016        PMID: 28560117      PMCID: PMC5396910          DOI: 10.1109/JTEHM.2016.2616123

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  17 in total

1.  Establishing a standardized clinical assessment tool of pathologic and prosthetic hand function: normative data, reliability, and validity.

Authors:  Colin M Light; Paul H Chappell; Peter J Kyberd
Journal:  Arch Phys Med Rehabil       Date:  2002-06       Impact factor: 3.966

2.  Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.

Authors:  Erik Scheme; Kevin Englehart
Journal:  J Rehabil Res Dev       Date:  2011

3.  Improving the Robustness of Myoelectric Pattern Recognition for Upper Limb Prostheses by Covariate Shift Adaptation.

Authors:  Marina M-C Vidovic; Han-Jeong Hwang; Sebastian Amsuss; Janne M Hahne; Dario Farina; Klaus-Robert Muller
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-10-26       Impact factor: 3.802

4.  Improved myoelectric prosthesis control using targeted reinnervation surgery: a case series.

Authors:  Laura A Miller; Kathy A Stubblefield; Robert D Lipschutz; Blair A Lock; Todd A Kuiken
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-02       Impact factor: 3.802

5.  The use of kinematic and parametric information to highlight lack of movement and compensation in the upper extremities during activities of daily living.

Authors:  Alessio Murgia; Peter Kyberd; Tom Barnhill
Journal:  Gait Posture       Date:  2010-01-19       Impact factor: 2.840

6.  Prosthesis-guided training of pattern recognition-controlled myoelectric prosthesis.

Authors:  Caitlin L Chicoine; Ann M Simon; Levi J Hargrove
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

7.  An objective and standardized test of hand function.

Authors:  R H Jebsen; N Taylor; R B Trieschmann; M J Trotter; L A Howard
Journal:  Arch Phys Med Rehabil       Date:  1969-06       Impact factor: 3.966

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

Authors:  Ann M Simon; Blair A Lock; Kathy A Stubblefield
Journal:  J Prosthet Orthot       Date:  2012-04

10.  A simple ERP method for quantitative analysis of cognitive workload in myoelectric prosthesis control and human-machine interaction.

Authors:  Sean Deeny; Caitlin Chicoine; Levi Hargrove; Todd Parrish; Arun Jayaraman
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

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  21 in total

Review 1.  Improving the functionality, robustness, and adaptability of myoelectric control for dexterous motion restoration.

Authors:  Dapeng Yang; Yikun Gu; Nitish V Thakor; Hong Liu
Journal:  Exp Brain Res       Date:  2018-11-30       Impact factor: 1.972

2.  Application of an LDA Classifier for Determining User-Intent in Multi-DOF Quasi-Static Shoulder Tasks in Individuals with Chronic Stroke: Preliminary Analysis.

Authors:  Joseph V Kopke; Levi J Hargrove; Michael D Ellis
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

3.  Joint-based velocity feedback to virtual limb dynamic perturbations.

Authors:  Eric J Earley; Kyle J Kaveny; Reva E Johnson; Levi J Hargrove; Jon W Sensinger
Journal:  IEEE Int Conf Rehabil Robot       Date:  2017-07

4.  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

5.  First Demonstration of Functional Task Performance Using a Sonomyographic Prosthesis: A Case Study.

Authors:  Susannah M Engdahl; Samuel A Acuña; Erica L King; Ahmed Bashatah; Siddhartha Sikdar
Journal:  Front Bioeng Biotechnol       Date:  2022-05-04

6.  Evaluation of a Simultaneous Myoelectric Control Strategy for a Multi-DoF Transradial Prosthesis.

Authors:  Cristina Piazza; Matteo Rossi; Manuel G Catalano; Antonio Bicchi; Levi J Hargrove
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-08-17       Impact factor: 4.528

7.  Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial.

Authors:  Levi J Hargrove; Laura A Miller; Kristi Turner; Todd A Kuiken
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

8.  The SoftHand Pro: Functional evaluation of a novel, flexible, and robust myoelectric prosthesis.

Authors:  Sasha Blue Godfrey; Kristin D Zhao; Amanda Theuer; Manuel G Catalano; Matteo Bianchi; Ryan Breighner; Divya Bhaskaran; Ryan Lennon; Giorgio Grioli; Marco Santello; Antonio Bicchi; Karen Andrews
Journal:  PLoS One       Date:  2018-10-15       Impact factor: 3.240

9.  Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control.

Authors:  Linda Resnik; He Helen Huang; Anna Winslow; Dustin L Crouch; Fan Zhang; Nancy Wolk
Journal:  J Neuroeng Rehabil       Date:  2018-03-15       Impact factor: 4.262

10.  Exploring augmented grasping capabilities in a multi-synergistic soft bionic hand.

Authors:  Cristina Piazza; Ann M Simon; Kristi L Turner; Laura A Miller; Manuel G Catalano; Antonio Bicchi; Levi J Hargrove
Journal:  J Neuroeng Rehabil       Date:  2020-08-25       Impact factor: 4.262

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