Newcastle University
Toggle Main Menu
Toggle Search
Home
Browse
Latest
Policies
About
Home
Browse
Latest
Policies
About
ePrints
Browse by author
Browsing publications by
Dr Matthew Dyson.
Newcastle Authors
Title
Year
Full text
Eisa Aghchehli
Dr Matthew Dyson
Professor Kianoush Nazarpour
Digital Sensing Systems for Electromyography
2024
Simon Stuttaford
Dr Matthew Dyson
Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study
2023
Simon Stuttaford
Dr Matthew Dyson
Professor Kianoush Nazarpour
Dr Sigrid Dupan
Reducing Motor Variability Enhances Myoelectric Control Robustness Across Untrained Limb Positions
2023
Dr Jennifer Olsen
Dr Matthew Dyson
Does Trans-Radial Longitudinal Compression Influence Myoelectric Control?
2022
Dr Christian Garske
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Graham Morgan
Professor Kianoush Nazarpour
et al.
Increasing Voluntary Myoelectric Training Time through Game Design
2022
Dr Jennifer Olsen
Professor Kianoush Nazarpour
Dr Matthew Dyson
3D-Printing and upper-limb prosthetic sockets: promises and pitfalls
2021
Dr Matthew Dyson
Dr Jennifer Olsen
Dr Sigrid Dupan
A Network-Enabled Myoelectric Platform for Prototyping Research Outside of the Lab
2021
Dr Matthew Dyson
Professor Kianoush Nazarpour
Arduino-based myoelectric control: Towards longitudinal study of prosthesis use
2021
Hannah Jones
Dr Sigrid Dupan
Dr Matthew Dyson
Dr Agamemnon Krasoulis
Professor Kianoush Nazarpour
et al.
Co-creation and User Perspectives for Upper Limb Prosthetics
2021
Dr Christian Garske
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Kianoush Nazarpour
Perception of game-based rehabilitation in upper limb prosthetic training: Survey of users and researchers
2021
Dr Jennifer Olsen
Dr Sigrid Dupan
Dr Matthew Dyson
Remote creation of clinical-standard myoelectric trans-radial bypass sockets during COVID-19
2021
Dr Christian Garske
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Graham Morgan
Professor Kianoush Nazarpour
et al.
Serious games are not serious enough for myoelectric prosthetics
2021
Anna Vasilchenko
Dr Megan Venn-Wycherley
Dr Matthew Dyson
Dr Fernando Russo Abegao
Engaging Science and Engineering Students in Computing Education through Learner-Created Videos and Physical Computing Tools
2020
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Kianoush Nazarpour
Learning, generalisation, scalability of abstract myoelectric control
2020
Dr Matthew Dyson
Professor Kianoush Nazarpour
Abstract myoelectric control in amputees
2019
Dr Sigrid Dupan
Dr Matthew Dyson
Dr Agamemnon Krasoulis
Professor Kianoush Nazarpour
Co-creation and user perspectives for upper limb prosthetics
2019
Dr Matthew Dyson
Professor Kianoush Nazarpour
Home-based myoelectric training using biofeedback gaming
2019
Dr Sigrid Dupan
Dr Matthew Dyson
Professor Kianoush Nazarpour
Long term use of embroidered EMG electrodes
2019
Dr Agamemnon Krasoulis
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Kianoush Nazarpour
Motor learning for control of prosthetic limbs
2019
Dr Fernando Russo Abegao
Dr Megan Venn-Wycherley
Anna Vasilchenko
Dr Matthew Dyson
Dr Chris O'Malley
et al.
Teaching Students How to Code Using Physical Computing Tools
2019
Dr Matthew Dyson
Professor Kianoush Nazarpour
Abstract Decoding Using Bayesian Muscle Activation Estimators
2018
Dr Matthew Dyson
Professor Kianoush Nazarpour
Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees
2018
Dr Matthew Dyson
Professor Kianoush Nazarpour
Low cost at home myoelectric training using biofeedback and off-the-shelf hardware
2018
Dr Matthew Dyson
Professor Kianoush Nazarpour
Myoelectric control with abstract decoders
2018
Dr Matthew Dyson
Professor Kianoush Nazarpour
Abstract Myoelectric Control with EMG Drive Estimated using Linear, Kurtosis and Bayesian Filtering
2017
Dr Matthew Dyson
Professor Kianoush Nazarpour
Linear, Kurtosis and Bayesian Filtering of EMG Drive for Abstract Myoelectric Control
2017
Dr Matthew Dyson
Professor Kianoush Nazarpour
Pre-Clinical Application of Muscle Synergies for Abstract Myoelectric Control
2017
Dr Matthew Dyson
Professor Kianoush Nazarpour
Comparison of Hand and Forearm Muscle Pairs in Controlling of a Novel Myoelectric Interface
2016
Dr Matthew Dyson
Professor Kianoush Nazarpour
Pre-Clinical Application of Abstract Muscle Synergies for Myoelectric Control
2016
Dr Matthew Dyson
Online extraction and single trial analysis of regions contributing to erroneous feedback detection
2015
Dr Matthew Dyson
Training free error potential detection
2014
Dr Matthew Dyson
An analysis of performance evaluation for motor-imagery based BCI
2013