Publications by authors named "Erik Scheme"

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Investigating Feedback-Informed Screen-Guided Training to Enhance Myoelectric Control and Predictability.
Thomas Labbe, Erik Scheme, Benoit Gosselin

IEEE Trans Neural Syst Rehabil Eng· December 2025

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Self-supervised representation learning with continuous training data improves the feel and performance of myoelectric control.
Shriram Tallam Puranam Raghu, Dawn T MacIsaac, Erik J Scheme

Comput Biol Med· October 2025

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Variability-based assessment of assisted gait using a multi-sensor instrumented cane.
Angkoon Phinyomark, Robyn Larracy, Satinder Gill, Erik Scheme

Comput Biol Med· September 2025

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(Un)supervised (Co)adaptation via Incremental Learning for Myoelectric Control: Motivation, Review, and Future Directions.
Evan Campbell, Fabio Egle, Marius OsWald, Ulysse Cote-Allard, Patrick M Pilarski, Erik Scheme

IEEE Trans Neural Syst Rehabil Eng· September 2025

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From zero- to few-shot: deep temporal learning of wrist EMG enables scalable cross-user gesture recognition.
Fady S Botros, Heather E Williams, Angkoon Phinyomark, Erik J Scheme

J Neural Eng· September 2025

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A dataset of high-resolution plantar pressures for gait analysis across varying footwear and walking speeds.
Robyn Larracy, Angkoon Phinyomark, Ala Salehi, Eve MacDonald, Saeed Kazemi, Erik Scheme

Sci Data· August 2025

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Context Informed Incremental Learning Improves Myoelectric Control Performance in Virtual Reality Object Manipulation Tasks.
Gabriel Gagne, Anisha Azad, Thomas Labbe, Evan Campbell, Xavier Isabel, Erik Scheme

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Towards Next-Generation Myoelectric Prostheses: 3D-Printed Electrode Arrays for Gesture Recognition.
Jonathan Levesque, Felix Chamberland, Erik Scheme, Benoit Gosselin

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control.
Christian Morrell, Evan Campbell, Ethan Eddy, Erik Scheme

IEEE Trans Neural Syst Rehabil Eng· May 2025

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Efficient Multi-Positioned Training for Regression-Based Myoelectric Control: Exploring Transformer Models with Transfer Learning.
Shriram Tallam Puranam Raghu, Heather E Williams, Erik Scheme

IEEE Int Conf Rehabil Robot· May 2025

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A Qualitative Exploration of EMG Visual Feedback for Spinal Cord Injury Rehabilitation.
Janelle Aikens, Aaron Tabor, Kevin Englehart, Erik Scheme

IEEE Int Conf Rehabil Robot· May 2025

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Advancing Myoelectric Prostheses: Efficacy of Gold-Plated 3D-Printed Thermoplastic Dry Electrodes.
Jonathan Levesque, Felix Chamberland, Erik Scheme, Benoit Gosselin

IEEE Trans Biomed Eng· April 2025

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Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels.
Shriram Tallam Puranam Raghu, Dawn T MacIsaac, Erik J Scheme

Comput Biol Med· February 2025

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EMG-based wake gestures eliminate false activations during out-of-set activities of daily living: an online myoelectric control study.
Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme

J Neural Eng· January 2025

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Screen Guided Training Does Not Capture Goal-Oriented Behaviours: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning.
Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Erik Scheme

IEEE Trans Neural Syst Rehabil Eng· December 2024

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Enhancing neuroprosthesis calibration: the advantage of integrating prior training over exclusive use of new data.
Caleb J Thomson, Troy N Tully, Eric S Stone, Christian B Morrell, Erik J Scheme

J Neural Eng· November 2024

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Big data in myoelectric control: large multi-user models enable robust zero-shot EMG-based discrete gesture recognition.
Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme

Front Bioeng Biotechnol· September 2024

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Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment.
Robyn Meredith, Ethan Eddy, Scott Bateman, Erik Scheme

J Neural Eng· August 2024

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Visual Scene Understanding for Enhanced EMG Gesture Recognition.
Felix Chamberland, Thomas Labbe, Simon Tam, Erik Scheme, Benoit Gosselin

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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StepGAN: Gait Feature Extraction Using Generative Adversarial Networks for Footstep Recognition.
Robyn Larracy, Shikder Shafiul Bashar, Angkoon Phinyomark, Erik Scheme

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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BioPoint: Enhancing Human-Computer Interaction through Single-Site, Multi-Sensor Gesture Recognition.
Xavier Isabel, Evan Campbell, Loic Olivier, Gabriel Gagne, Erik Scheme

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Covariate Analysis for Footstep Recognition Using Unsupervised Hierarchical Clustering.
Neha Kulkarni, Robyn Larracy, Angkoon Phinyomark, Erik Scheme

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Context-informed incremental learning improves both the performance and resilience of myoelectric control.
Evan Campbell, Ethan Eddy, Scott Bateman, Ulysse Côté-Allard, Erik Scheme

J Neuroeng Rehabil· May 2024

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Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition.
Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme

J Neural Eng· May 2024

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Machine learning enabled detection of COVID-19 pneumonia using exhaled breath analysis: a proof-of-concept study.
Ruth P Cusack, Robyn Larracy, Christian B Morrell, Maral Ranjbar, Jennifer Le Roux, Erik Scheme

J Breath Res· March 2024

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