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Adapting myoelectric control in real-time using a virtual environment.

Published on Jan 16, 2019in Journal of Neuroengineering and Rehabilitation 3.87
· DOI :10.1186/s12984-019-0480-5
Richard B. Woodward1
Estimated H-index: 1
(NU: Northwestern University),
Levi J. Hargrove29
Estimated H-index: 29
(NU: Northwestern University)
Background Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, adds complexity that can make using such a system difficult. Although experienced clinicians may be able to guide users to ensure successful data collection methods, they may not always be available when a user needs to (re)train their device.
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Published on Dec 1, 2018in Journal of Neuroengineering and Rehabilitation 3.87
Linda Resnik23
Estimated H-index: 23
(Brown University),
He Huang21
Estimated H-index: 21
(UNC: University of North Carolina at Chapel Hill)
+ 3 AuthorsNancy Wolk1
Estimated H-index: 1
(UNC: University of North Carolina at Chapel Hill)
Background Although electromyogram (EMG) pattern recognition (PR) for multifunctional upper limb prosthesis control has been reported for decades, the clinical benefits have rarely been examined. The study purposes were to: 1) compare self-report and performance outcomes of a transradial amputee immediately after training and one week after training of direct myoelectric control and EMG pattern recognition (PR) for a two-degree-of-freedom (DOF) prosthesis, and 2) examine the change in outcomes o...
5 Citations Source Cite
Published on Nov 2, 2017in PLOS ONE 2.77
Han-Jeong Hwang14
Estimated H-index: 14
Janne M. Hahne7
Estimated H-index: 7
Klaus-Robert Müller82
Estimated H-index: 82
2 Citations Source Cite
Published on Oct 18, 2017in PLOS ONE 2.77
Caspar A. Hallmann7
Estimated H-index: 7
(Radboud University Nijmegen),
Martin Sorg1
Estimated H-index: 1
+ 9 AuthorsThomas Hörren1
Estimated H-index: 1
Global declines in insects have sparked wide interest among scientists, politicians, and the general public. Loss of insect diversity and abundance is expected to provoke cascading effects on food webs and to jeopardize ecosystem services. Our understanding of the extent and underlying causes of this decline is based on the abundance of single species or taxonomic groups only, rather than changes in insect biomass which is more relevant for ecological functioning. Here, we used a standardized pr...
234 Citations Source Cite
Published on Jun 8, 2016in Frontiers in Neuroscience 3.88
Sheraz Khan9
Estimated H-index: 9
Javeria A. Hashmi13
Estimated H-index: 13
(Harvard University)
+ 8 AuthorsMatti Hämäläinen70
Estimated H-index: 70
Abnormalities in cortical connectivity and evoked responses have been extensively documented in autism spectrum disorder (ASD). However, specific signatures of these cortical abnormalities remain elusive, with data pointing towards abnormal patterns of both increased and reduced response amplitudes and functional connectivity. We have previously proposed, using magnetoencephalography (MEG) data, that apparent inconsistencies in prior studies could be reconciled if functional connectivity in ASD ...
70 Citations Source Cite
Published on May 12, 2016in Frontiers in Neuroscience 3.88
Francesca Cordella5
Estimated H-index: 5
(Università Campus Bio-Medico),
Anna Lisa Ciancio6
Estimated H-index: 6
(Università Campus Bio-Medico)
+ 4 AuthorsLoredana Zollo17
Estimated H-index: 17
(Università Campus Bio-Medico)
The loss of one hand can significantly affect the level of autonomy and the capability of performing daily living, working and social activities. The current prosthetic solutions contribute in a poor way to overcome these problems due to the limitations of the interfaces adopted for controlling the prosthesis and to the absence of force or tactile feedback which limit the hand grasp capabilities. In order to provide indications for further developments in the prosthetic field to increase user sa...
58 Citations Source Cite
Janne M. Hahne7
Estimated H-index: 7
Sven Dähne16
Estimated H-index: 16
+ 2 AuthorsLucas C. Parra46
Estimated H-index: 46
(CCNY: City College of New York)
In the above-named work [ibid., vol. 23, no. 4, pp. 618–627, Jul. 2015], the affiliation for Klaus-Robert Mueller should have appeared as follows: K-R. Mueller is with the Machine Learning Laboratory, Berlin Institute of Technology, D-10587 Berlin, Germany, and also with the Bernstein Center for Computational Neuroscience (BCCN), D-10587 Berlin, Germany, and also with the Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea; (e-mail: klaus...
3 Citations Source Cite
Published on Sep 9, 2015in PLOS ONE 2.77
Bernhard Terlaak1
Estimated H-index: 1
(UG: University of Groningen),
Hanneke Bouwsema3
Estimated H-index: 3
(UM: Maastricht University)
+ 1 AuthorsRaoul M. Bongers18
Estimated H-index: 18
Objective To investigate which of three virtual training methods produces the largest learning effects on discrete and continuous myocontrol. The secondary objective was to examine the relation between myocontrol and manual motor control tests. Design A cohort analytic study. Setting University laboratory. Participants 3 groups of 12 able-bodied participants (N = 36). Interventions Participants trained the control over their myosignals on 3 consecutive days. Training was done with either myosign...
10 Citations Source Cite
Published on Aug 1, 2015in Journal of Neural Engineering 3.92
Jiayuan He6
Estimated H-index: 6
(SJTU: Shanghai Jiao Tong University),
Dingguo Zhang17
Estimated H-index: 17
(SJTU: Shanghai Jiao Tong University)
+ 3 AuthorsXiangyang Zhu21
Estimated H-index: 21
(SJTU: Shanghai Jiao Tong University)
Objective. Recent studies have reported that the classification performance of electromyographic (EMG) signals degrades over time without proper classification retraining. This problem is relevant for the applications of EMG pattern recognition in the control of active prostheses. Approach. In this study we investigated the changes in EMG classification performance over 11 consecutive days in eight able-bodied subjects and two amputees. Main results. It was observed that, when the classifier was...
34 Citations Source Cite
Published on Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Max Jair Ortiz-Catalan9
Estimated H-index: 9
(Chalmers University of Technology),
Faezeh Rouhani1
Estimated H-index: 1
+ 1 AuthorsBo Håkansson28
Estimated H-index: 28
Offline accuracy has been the preferred performance measure in myoelectric pattern recognition (MPR) for the prediction of motion volition. In this study, different metrics relating the fundamental binary prediction outcomes were analyzed. Our results indicate that global accuracy is biased by 1) the unbalanced number of possible true positive and negative outcomes, and 2) the almost perfect specificity and negative predicted value, which were consistently found across algorithms, topologies, an...
15 Citations Source Cite
Published on Jul 10, 2015in PLOS ONE 2.77
Pim Moeskops10
Estimated H-index: 10
Manon J.N.L. Benders35
Estimated H-index: 35
+ 4 AuthorsIvana Išgum29
Estimated H-index: 29
INTRODUCTION: The cerebral cortex develops rapidly in the last trimester of pregnancy. In preterm infants, brain development is very vulnerable because of their often complicated extra-uterine conditions. The aim of this study was to quantitatively describe cortical development in a cohort of 85 preterm infants with and without brain injury imaged at 30 and 40 weeks postmenstrual age (PMA). METHODS: In the acquired T2-weighted MR images, unmyelinated white matter (UWM), cortical grey matter (CoG...
31 Citations Source Cite
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