Eisa Aghchehli
Dr Matthew Dyson
Professor Kianoush Nazarpour
| Digital Sensing Systems for Electromyography | 2024 |
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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 |
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Simon Stuttaford
Dr Matthew Dyson
Professor Kianoush Nazarpour
Dr Sigrid Dupan
| Reducing Motor Variability Enhances Myoelectric Control Robustness Across Untrained Limb Positions | 2023 |
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Dr Jennifer Olsen
Dr Matthew Dyson
| Does Trans-Radial Longitudinal Compression Influence Myoelectric Control? | 2022 |
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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 |
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Dr Jennifer Olsen
Professor Kianoush Nazarpour
Dr Matthew Dyson
| 3D-Printing and upper-limb prosthetic sockets: promises and pitfalls | 2021 |
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Dr Matthew Dyson
Dr Jennifer Olsen
Dr Sigrid Dupan
| A Network-Enabled Myoelectric Platform for Prototyping Research Outside of the Lab | 2021 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Arduino-based myoelectric control: Towards longitudinal study of prosthesis use | 2021 |
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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 |
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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 |
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Dr Jennifer Olsen
Dr Sigrid Dupan
Dr Matthew Dyson
| Remote creation of clinical-standard myoelectric trans-radial bypass sockets during COVID-19 | 2021 |
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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 |
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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 |
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Dr Matthew Dyson
Dr Sigrid Dupan
Professor Kianoush Nazarpour
| Learning, generalisation, scalability of abstract myoelectric control | 2020 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Abstract myoelectric control in amputees | 2019 |
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Dr Sigrid Dupan
Dr Matthew Dyson
Dr Agamemnon Krasoulis
Professor Kianoush Nazarpour
| Co-creation and user perspectives for upper limb prosthetics | 2019 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Home-based myoelectric training using biofeedback gaming | 2019 |
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Dr Sigrid Dupan
Dr Matthew Dyson
Professor Kianoush Nazarpour
| Long term use of embroidered EMG electrodes | 2019 |
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Dr Agamemnon Krasoulis
Dr Matthew Dyson
Dr Sigrid Dupan
Professor Kianoush Nazarpour
| Motor learning for control of prosthetic limbs | 2019 |
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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 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Abstract Decoding Using Bayesian Muscle Activation Estimators | 2018 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees | 2018 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Low cost at home myoelectric training using biofeedback and off-the-shelf hardware | 2018 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Myoelectric control with abstract decoders | 2018 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Abstract Myoelectric Control with EMG Drive Estimated using Linear, Kurtosis and Bayesian Filtering | 2017 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Linear, Kurtosis and Bayesian Filtering of EMG Drive for Abstract Myoelectric Control | 2017 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Pre-Clinical Application of Muscle Synergies for Abstract Myoelectric Control | 2017 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Comparison of Hand and Forearm Muscle Pairs in Controlling of a Novel Myoelectric Interface | 2016 |
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Dr Matthew Dyson
Professor Kianoush Nazarpour
| Pre-Clinical Application of Abstract Muscle Synergies for Myoelectric Control | 2016 |
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Dr Matthew Dyson
| Online extraction and single trial analysis of regions contributing to erroneous feedback detection | 2015 |
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Dr Matthew Dyson
| Training free error potential detection | 2014 |
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Dr Matthew Dyson
| An analysis of performance evaluation for motor-imagery based BCI | 2013 |
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