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Erik Scheme
Erik Scheme
Associate Director, Institute of Biomedical Engineering
Dirección de correo verificada de unb.ca - Página principal
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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
10272011
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
3992011
Feature extraction and selection for myoelectric control based on wearable EMG sensors
A Phinyomark, R N. Khushaba, E Scheme
Sensors 18 (5), 1615, 2018
2732018
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
2532010
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
2462014
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
2262018
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
1962011
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
1772014
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
1742010
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
1512019
High-density force myography: A possible alternative for upper-limb prosthetic control
A Radmand, E Scheme, K Englehart
Rehabilitation Research and Development Service, 2016
1422016
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
1302013
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
1302013
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
1142019
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
1082012
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
1042013
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
982013
Current trends and confounding factors in myoelectric control: Limb position and contraction intensity
E Campbell, A Phinyomark, E Scheme
Sensors 20 (6), 1613, 2020
932020
Continuous detection and decoding of dexterous finger flexions with implantable myoelectric sensors
JJ Baker, E Scheme, K Englehart, DT Hutchinson, B Greger
IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (4 …, 2010
932010
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
902020
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