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

Published on Dec 1, 2019in Journal of Neuroengineering and Rehabilitation3.582
· DOI :10.1186/s12984-019-0480-5
Richard B. Woodward3
Estimated H-index: 3
(NU: Northwestern University),
Levi J. Hargrove33
Estimated H-index: 33
(NU: Northwestern University)
Sources
Abstract
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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  • References (36)
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References36
Newest
#1Linda Resnik (Brown University)H-Index: 23
#2He Huang (UNC: University of North Carolina at Chapel Hill)H-Index: 23
Last. Nancy Wolk (UNC: University of North Carolina at Chapel Hill)H-Index: 1
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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...
14 CitationsSource
#1Han-Jeong HwangH-Index: 16
#2Janne M. HahneH-Index: 9
Last. Klaus-Robert MüllerH-Index: 92
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6 CitationsSource
#1Caspar A. Hallmann (Radboud University Nijmegen)H-Index: 7
#2Martin SorgH-Index: 1
Last. Hans de Kroon (Radboud University Nijmegen)H-Index: 46
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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...
388 CitationsSource
#1Chentao Wen (Hokkaido University)H-Index: 1
#2Yukiko Ogura (Hokkaido University)H-Index: 5
Last. Toshiya Matsushima (Hokkaido University)H-Index: 24
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To ensure survival, animals must update the internal representations of their environment in a trial-and-error fashion. Psychological studies of associative learning and neurophysiological analyses of dopaminergic neurons have suggested that this updating process involves the temporal-difference (TD) method in the basal ganglia network. However, the way in which the component variables of the TD method are implemented at the neuronal level is unclear. To investigate the underlying neural mechani...
130 CitationsSource
#1Francesca Cordella (Università Campus Bio-Medico)H-Index: 6
#2Anna Lisa Ciancio (Università Campus Bio-Medico)H-Index: 7
Last. Loredana Zollo (Università Campus Bio-Medico)H-Index: 18
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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...
98 CitationsSource
#1Janne M. HahneH-Index: 9
#2Sven DähneH-Index: 19
Last. Lucas C. Parra (CCNY: City College of New York)H-Index: 51
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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...
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#1Bernhard Terlaak (UG: University of Groningen)H-Index: 1
#2Hanneke Bouwsema (UM: Maastricht University)H-Index: 3
Last. Raoul M. BongersH-Index: 19
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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...
11 CitationsSource
Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Max Ortiz-Catalan (Chalmers University of Technology)H-Index: 11
#2Faezeh RouhaniH-Index: 1
Last. Bo HåkanssonH-Index: 28
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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...
26 CitationsSource
#1Jiayuan He (SJTU: Shanghai Jiao Tong University)H-Index: 8
#2Dingguo Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 20
Last. Xiangyang Zhu (SJTU: Shanghai Jiao Tong University)H-Index: 23
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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...
48 CitationsSource
#1Pim Moeskops (UU: Utrecht University)H-Index: 13
#2Manon J.N.L. Benders ('KCL': King's College London)H-Index: 22
Last. Ivana Išgum (UU: Utrecht University)H-Index: 32
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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 T 2 -weighted MR images, unmyelinated white matter (UWM), cortical grey matter (C...
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The Department of Defense, Department of Veterans Affairs and National Institutes of Health have invested significantly in advancing prosthetic technologies over the past 25 years, with the overall intent to improve the function, participation and quality of life of Service Members, Veterans, and all United States Citizens living with limb loss. These investments have contributed to substantial advancements in the control and sensory perception of prosthetic devices over the past decade. While c...
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Upper limb amputation is a condition that significantly restricts the amputees from performing their daily activities. The myoelectric prosthesis, using signals from residual stump muscles, is aimed at restoring the function of such lost limbs seamlessly. Unfortunately, the acquisition and use of such myosignals are cumbersome and complicated. Furthermore, once acquired, it usually requires heavy computational power to turn it into a user control signal. Its transition to a practical prosthesis ...
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Rehabilitation robotics is a recent kind of service robot that include devices such as robotic prosthesis and exoskeletons. These devices could help motor disabled people to rehabilitate their motor functions, and could provide functional compensation to accomplish motor activities. In order to control robotic prosthesis and exoskeletons it is required to identify human movement intention, to be converted into commands for the device. Motor impaired people may use surface electromyography (sEMG)...
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#1Lizhi Pan (NCSU: North Carolina State University)H-Index: 4
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Electromyography (EMG)-based interfaces are trending toward continuous, simultaneous control with multiple degrees of freedom. Emerging methods range from data-driven approaches to biomechanical model-based methods. However, there has been no direct comparison between these two types of continuous EMG-based interfaces. The aim of this study was to compare a musculoskeletal model (MM) with two data-driven approaches, linear regression (LR) and artificial neural network (ANN), for predicting conti...
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