Literature DB >> 17946096

The effect of electrode displacements on pattern recognition based myoelectric control.

L Hargrove1, K Englehart, B Hudgins.   

Abstract

Pattern recognition based myoelectric controllers rely on a fundamental assumption that the patterns detected under a given electrode are repeatable for a given state of muscle activation. Consequently, electrode displacements on the skins surface affect the classification accuracy of the pattern based myoelectric controller. The effects of electrode displacement can be mitigated by using a training set of data which consists of patterns detected over a range of plausible displacement locations to train the control system.

Mesh:

Year:  2006        PMID: 17946096     DOI: 10.1109/IEMBS.2006.260681

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  15 in total

1.  Improving myoelectric pattern recognition robustness to electrode shift by changing interelectrode distance and electrode configuration.

Authors:  Aaron J Young; Levi J Hargrove; Todd A Kuiken
Journal:  IEEE Trans Biomed Eng       Date:  2011-11-29       Impact factor: 4.538

2.  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

3.  Design of a robust EMG sensing interface for pattern classification.

Authors:  He Huang; Fan Zhang; Yan L Sun; Haibo He
Journal:  J Neural Eng       Date:  2010-09-01       Impact factor: 5.379

4.  Analysis of electrode shift effects on wavelet features embedded in a myoelectric pattern recognition system.

Authors:  Juan M Fontana; Alan W L Chiu
Journal:  Assist Technol       Date:  2014

5.  Study of stability of time-domain features for electromyographic pattern recognition.

Authors:  Dennis Tkach; He Huang; Todd A Kuiken
Journal:  J Neuroeng Rehabil       Date:  2010-05-21       Impact factor: 4.262

6.  Training Strategies for Mitigating the Effect of Proportional Control on Classification in Pattern Recognition Based Myoelectric Control.

Authors:  Erik Scheme; Kevin Englehart
Journal:  J Prosthet Orthot       Date:  2013-04-01

7.  Deep Cross-User Models Reduce the Training Burden in Myoelectric Control.

Authors:  Evan Campbell; Angkoon Phinyomark; Erik Scheme
Journal:  Front Neurosci       Date:  2021-05-24       Impact factor: 4.677

8.  The effect of accelerometer location on the classification of single-site forearm mechanomyograms.

Authors:  Natasha Alves; Ervin Sejdić; Bhupinder Sahota; Tom Chau
Journal:  Biomed Eng Online       Date:  2010-06-10       Impact factor: 2.819

Review 9.  Cut wires: The Electrophysiology of Regenerated Tissue.

Authors:  Alexis L Lowe; Nitish V Thakor
Journal:  Bioelectron Med       Date:  2021-02-23

Review 10.  Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.

Authors:  Claudio Castellini; Panagiotis Artemiadis; Michael Wininger; Arash Ajoudani; Merkur Alimusaj; Antonio Bicchi; Barbara Caputo; William Craelius; Strahinja Dosen; Kevin Englehart; Dario Farina; Arjan Gijsberts; Sasha B Godfrey; Levi Hargrove; Mark Ison; Todd Kuiken; Marko Marković; Patrick M Pilarski; Rüdiger Rupp; Erik Scheme
Journal:  Front Neurorobot       Date:  2014-08-15       Impact factor: 2.650

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