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Matthew Dyson
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2020 – today
- 2021
- [j6]Hannah Jones, Sigrid S. G. Dupan, Matthew Dyson, Agamemnon Krasoulis, Laurence P. J. Kenney, Margaret Donovan-Hall
, Kaveh Memarzadeh, Sarah Day, Maxford Coutinho, Kianoush Nazarpour:
Co-creation and User Perspectives for Upper Limb Prosthetics. Frontiers Neurorobotics 15: 689717 (2021) - [j5]Hancong Wu
Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use. Sensors 21(3): 763 (2021) - [c17]Simon A. Stuttaford
Long-Term Myoelectric Training with Delayed Feedback in the Home Environment. EMBC 2021: 6437-6440 - [c16]Jennifer Olsen
Remote creation of clinical-standard myoelectric trans-radial bypass sockets during COVID-19. EMBC 2021: 6500-6503 - [c15]Matthew Dyson, Jennifer Olsen
A Network-Enabled Myoelectric Platform for Prototyping Research Outside of the Lab. EMBC 2021: 7422-7425 - 2020
- [c14]Anna Vasilchenko, Megan Venn-Wycherley, Matthew Dyson, Fernando Russo Abegão
Engaging Science and Engineering Students in Computing Education through Learner-Created Videos and Physical Computing Tools. CEP 2020: 16:1-16:4 - [c13]Simon A. Stuttaford
Automatic Myoelectric Control Site Detection Using Candid Covariance-Free Incremental Principal Component Analysis. EMBC 2020: 3497-3500 - [c12]Hancong Wu, Matthew Dyson, Kianoush Nazarpour:
Arduino-based embedded system for myoelectric hand prostheses. ICECS 2020: 1-4 - [c11]Hancong Wu, Matthew Dyson, Kianoush Nazarpour:
Real-time myoelectric control with an Arduino. ICECS 2020: 1-2
2010 – 2019
- 2018
- [c10]Matthew Dyson, Kianoush Nazarpour:
Abstract Decoding using Bayesian Muscle Activation Estimators. EMBC 2018: 2112-2115 - [c9]Matthew Dyson, Kianoush Nazarpour:
Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees. EMBC 2018: 3770-3773 - 2017
- [c8]Matthew Dyson
Abstract myoelectric control with EMG drive estimated using linear, kurtosis and Bayesian filtering. NER 2017: 54-57 - 2016
- [c7]Scott Stainton, Matthew Dyson, Charalampos Tsimenidis, Alan Murray:
Characteristics of Phonocardiography Waveforms that Influence Automatic Feature Recognition. CinC 2016 - [c6]Jessica Barnes, Matthew Dyson
Comparison of hand and forearm muscle pairs in controlling of a novel myoelectric interface. SMC 2016: 2846-2849 - 2015
- [j4]Matthew Dyson
Online extraction and single trial analysis of regions contributing to erroneous feedback detection. NeuroImage 121: 146-158 (2015) - 2012
- [c5]Matthew Dyson
Discrimination of Discrete Feedback During Performance of Motor Imagery. PRNI 2012: 93-96 - 2011
- [j3]Ji Won Yoon, Stephen J. Roberts, Matthew Dyson
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. Neural Networks 24(7): 726-734 (2011)
2000 – 2009
- 2009
- [j2]Ji Won Yoon, Stephen J. Roberts, Matthew Dyson
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks 22(9): 1286-1294 (2009) - 2008
- [j1]Tao Geng, John Q. Gan
A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Comput. Intell. Neurosci. 2008 (2008) - [c4]Alexandros Agapitos, Matthew Dyson
Learning to recognise mental activities: genetic programming of stateful classifiers for brain-computer interfacing. GECCO 2008: 1155-1162 - [c3]Alexandros Agapitos, Matthew Dyson
On the genetic programming of time-series predictors for supply chain management. GECCO 2008: 1163-1170 - [c2]Ji Won Yoon, Stephen J. Roberts, Matthew Dyson
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing. IDEAL 2008: 370-377 - [c1]Ji Won Yoon, Stephen J. Roberts, Matthew Dyson
Sequential Bayesian estimation for adaptive classification. MFI 2008: 601-605
Coauthor Index
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