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Evan Campbell
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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
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted
U Côté-Allard, E Campbell, A Phinyomark, F Laviolette, B Gosselin, ...
Highlights from Frontiers in Bioengineering and Biotechnology in 2020, 2021
902021
Surface electromyography (EMG) signal processing, classification, and practical considerations
A Phinyomark, E Campbell, E Scheme
Biomedical Signal Processing: Advances in Theory, Algorithms and …, 2020
77*2020
Feature extraction and selection for pain recognition using peripheral physiological signals
E Campbell, A Phinyomark, E Scheme
Frontiers in neuroscience 13, 437, 2019
482019
Differences in EMG feature space between able-bodied and amputee subjects for myoelectric control
E Campbell, A Phinyomark, AH Al-Timemy, RN Khushaba, G Petri, ...
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 33-36, 2019
332019
Deep cross-user models reduce the training burden in myoelectric control
E Campbell, A Phinyomark, E Scheme
Frontiers in Neuroscience 15, 657958, 2021
282021
Linear Discriminant Analysis with Bayesian Risk Parameters for Myoelectric Control
E Campbell, A Phinyomark, E Scheme
2019 IEEE Global Conference on Signal and Information Processing, 2019
192019
Feasibility of data-driven emg signal generation using a deep generative model
E Campbell, JAD Cameron, E Scheme
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
152020
A Comparison of Amputee and Able-Bodied Inter-Subject Variability in Myoelectric Control
E Campbell, J Chang, A Phinyomark, E Scheme
MEC20: Myoelectric Controls Symposium, 2020
112020
Differences in Perspective on Inertial Measurement Unit Sensor Integration in Myoelectric Control
E Campbell, A Phinyomark, E Scheme
MEC20: Myoelectric Controls Symposium, 2020
52020
Novel wearable HD-EMG sensor with shift-robust gesture recognition using deep learning
F Chamberland, É Buteau, S Tam, E Campbell, A Mortazavi, E Scheme, ...
IEEE Transactions on Biomedical Circuits and Systems, 2023
22023
LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control
E Eddy, E Campbell, A Phinyomark, S Bateman, E Scheme
IEEE Access, 2023
22023
On-Demand Myoelectric Control Using Wake Gestures to Eliminate False Activations During Activities of Daily Living
E Eddy, E Campbell, S Bateman, E Scheme
arXiv preprint arXiv:2402.10050, 2024
2024
Generalizing Upper Limb Force Modeling with Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions
G Hajian, E Campbell, M Ansari, E Morin, A Etemad, K Englehart, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024
2024
Live Demonstration: A fully embedded adaptive real-time hand gesture classifier leveraging HD-sEMG and deep learning
X Isabel, T Labbé, F Chamberland, É Buteau, E Campbell, U Côté-Allard, ...
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-1, 2023
2023
Leveraging Task-Specific Context to Improve Unsupervised Adaptation for Myoelectric Control
E Eddy, E Campbell, S Bateman, E Scheme
2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023
2023
Data-driven approaches to reducing the training burden in pattern recognition based myoelectric control
ED Campbell
University of New Brunswick, 2020
2020
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Artikelen 1–17