Literature DB >> 32494115

A Myoelectric Postural Control Algorithm for Persons With Transradial Amputations: A Consideration of Clinical Readiness.

Jacob L Segil1, Rahul Kaliki2, Jack Uellendahl3, Richard F Ff Weir4.   

Abstract

BACKGROUND: The bottleneck in upper limb prosthetic design is the myoelectric control algorithm. Here we studied the clinical readiness of the myoelectric postural control algorithm in a laboratory setting with two trans-radial amputees using a commercially available prosthetic limb system. TECHNIQUE: The postural control algorithm was integrated into prosthetic limb systems using standard of care components. A comparison between a commercial state of the art system (the i-limb revolution state-based myoelectric controller) and the postural controller was performed with two people with trans-radial amputation using a self-contained prosthesis system. DISCUSSION: The performance using the i-limb revolution state-based controller versus the postural controller was mixed based on the Southampton Hand Assessment Procedure. The SHAP scores indicate that the postural controller with i-limb revolution provided an average of 66% of hand function compared to an intact limb. Future work will study the advantages of the postural control algorithm in everyday use.

Entities:  

Year:  2019        PMID: 32494115      PMCID: PMC7269158          DOI: 10.1109/mra.2019.2949688

Source DB:  PubMed          Journal:  IEEE Robot Autom Mag        ISSN: 1070-9932            Impact factor:   5.143


  24 in total

1.  A robust, real-time control scheme for multifunction myoelectric control.

Authors:  Kevin Englehart; Bernard Hudgins
Journal:  IEEE Trans Biomed Eng       Date:  2003-07       Impact factor: 4.538

2.  Functional Assessment of a Myoelectric Postural Controller and Multi-Functional Prosthetic Hand by Persons With Trans-Radial Limb Loss.

Authors:  Jacob L Segil; Stephen A Huddle; Richard F Ff Weir
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-06-30       Impact factor: 3.802

Review 3.  Myoelectric signal processing for control of powered limb prostheses.

Authors:  P Parker; K Englehart; B Hudgins
Journal:  J Electromyogr Kinesiol       Date:  2006-10-11       Impact factor: 2.368

Review 4.  Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review.

Authors:  Joseph T Belter; Jacob L Segil; Aaron M Dollar; Richard F Weir
Journal:  J Rehabil Res Dev       Date:  2013

5.  Comparative study of state-of-the-art myoelectric controllers for multigrasp prosthetic hands.

Authors:  Jacob L Segil; Marco Controzzi; Richard F ff Weir; Christian Cipriani
Journal:  J Rehabil Res Dev       Date:  2014

6.  Limb Position Tolerant Pattern Recognition for Myoelectric Prosthesis Control with Adaptive Sparse Representations From Extreme Learning.

Authors:  Joseph L Betthauser; Christopher L Hunt; Luke E Osborn; Matthew R Masters; Gyorgy Levay; Rahul R Kaliki; Nitish V Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2017-06-23       Impact factor: 4.538

7.  Myoelectric manifestations of fatigue in voluntary and electrically elicited contractions.

Authors:  R Merletti; M Knaflitz; C J De Luca
Journal:  J Appl Physiol (1985)       Date:  1990-11

8.  Consumer design priorities for upper limb prosthetics.

Authors:  Elaine Biddiss; Dorcas Beaton; Tom Chau
Journal:  Disabil Rehabil Assist Technol       Date:  2007-11

9.  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

10.  Surface EMG in advanced hand prosthetics.

Authors:  Claudio Castellini; Patrick van der Smagt
Journal:  Biol Cybern       Date:  2008-11-18       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.