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Erik Scheme
Erik Scheme
Associate Director, Institute of Biomedical Engineering, Professor, Electrical and Comp. Engineering
Verified email at unb.ca - Homepage
Title
Cited by
Cited by
Year
Electromyogram pattern recognition for control of powered upper-limb prostheses: state of the art and challenges for clinical use.
E Scheme, K Englehart
Journal of Rehabilitation Research & Development 48 (6), 2011
10792011
Resolving the limb position effect in myoelectric pattern recognition
A Fougner, E Scheme, ADC Chan, K Englehart, Ø Stavdahl
IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (6 …, 2011
4182011
Feature extraction and selection for myoelectric control based on wearable EMG sensors
A Phinyomark, R N. Khushaba, E Scheme
Sensors 18 (5), 1615, 2018
3002018
EMG pattern recognition in the era of big data and deep learning
A Phinyomark, E Scheme
Big Data and Cognitive Computing 2 (3), 21, 2018
2582018
Multiple binary classifications via linear discriminant analysis for improved controllability of a powered prosthesis
LJ Hargrove, EJ Scheme, KB Englehart, BS Hudgins
IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (1), 49-57, 2010
2572010
Proceedings of the first workshop on peripheral machine interfaces: going beyond traditional surface electromyography
C Castellini, P Artemiadis, M Wininger, A Ajoudani, M Alimusaj, A Bicchi, ...
Frontiers in neurorobotics 8, 22, 2014
2212014
Selective classification for improved robustness of myoelectric control under nonideal conditions
EJ Scheme, KB Englehart, BS Hudgins
IEEE Transactions on Biomedical Engineering 58 (6), 1698-1705, 2011
2092011
Support vector regression for improved real-time, simultaneous myoelectric control
A Ameri, EN Kamavuako, EJ Scheme, KB Englehart, PA Parker
IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (6 …, 2014
1852014
Examining the adverse effects of limb position on pattern recognition based myoelectric control
E Scheme, A Fougner, Ø Stavdahl, ADC Chan, K Englehart
2010 annual international conference of the IEEE engineering in medicine and …, 2010
1842010
Regression convolutional neural network for improved simultaneous EMG control
A Ameri, MA Akhaee, E Scheme, K Englehart
Journal of neural engineering 16 (3), 036015, 2019
1682019
High-density force myography: A possible alternative for upper-limb prosthetic control
A Radmand, E Scheme, K Englehart
Rehabilitation Research and Development Service, 2016
1492016
Confidence-based rejection for improved pattern recognition myoelectric control
EJ Scheme, BS Hudgins, KB Englehart
IEEE Transactions on Biomedical Engineering 60 (6), 1563-1570, 2013
1432013
Motion normalized proportional control for improved pattern recognition-based myoelectric control
E Scheme, B Lock, L Hargrove, W Hill, U Kuruganti, K Englehart
IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (1 …, 2013
1382013
A deep transfer learning approach to reducing the effect of electrode shift in EMG pattern recognition-based control
A Ameri, MA Akhaee, E Scheme, K Englehart
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (2 …, 2019
1322019
Validation of a selective ensemble-based classification scheme for myoelectric control using a three-dimensional Fitts' law test
EJ Scheme, KB Englehart
IEEE transactions on neural systems and rehabilitation engineering 21 (4 …, 2012
1172012
Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
E Campbell, A Phinyomark, E Scheme
Sensors 20 (6), 1613, 2020
1122020
Training strategies for mitigating the effect of proportional control on classification in pattern recognition–based myoelectric control
E Scheme, K Englehart
JPO: Journal of Prosthetics and Orthotics 25 (2), 76-83, 2013
1102013
Interpreting deep learning features for myoelectric control: A comparison with handcrafted features
U Côté-Allard, E Campbell, A Phinyomark, F Laviolette, B Gosselin, ...
Frontiers in bioengineering and biotechnology 8, 158, 2020
1092020
Real-time, simultaneous myoelectric control using force and position-based training paradigms
A Ameri, EJ Scheme, EN Kamavuako, KB Englehart, PA Parker
IEEE Transactions on Biomedical Engineering 61 (2), 279-287, 2013
1032013
EMG-Based Gesture Recognition: Is It Time to Change Focus From the Forearm to the Wrist?
FS Botros, A Phinyomark, EJ Scheme
IEEE Transactions on Industrial Informatics 18 (1), 174-184, 2022
102*2022
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