Kevin Englehart

Professor

University of New Brunswick

Canada

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About

Kevin Englehart is a Professor at the University of New Brunswick, Canada. His research focuses on myoelectric control usability, including the application of transfer learning and deep learning approaches in electromyography signal processing. His recent articles explore topics such as the influence of visual biofeedback and noise bias in motor adaptation analysis.

Articles (7)

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (3)

Erik Scheme

Professor of Electrical and Computer Engineering & Associate Director of the Institute of Biomedical Engineering

University of New Brunswick

CANADA

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Heidi Haavik

NEW ZEALAND

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Ali Etemad

CANADA

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Kevin Englehart

Research Interests

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Articles (7)

Generalizing Upper Limb Force Modeling With Transfer Learning: A Multimodal Approach Using EMG and IMU for New Users and Conditions

Compression of EMG Signals Using Deep Convolutional Autoencoders

The Influence of Training With Visual Biofeedback on the Predictability of Myoelectric Control Usability

A Multi-Variate Approach to Predicting Myoelectric Control Usability

An analytical method reduces noise bias in motor adaptation analysis

A Multiday Evaluation of Real-Time Intramuscular EMG Usability with ANN

A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control

Collaborators (3)

Erik Scheme

Heidi Haavik

Ali Etemad

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