Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Agamemnon Krasoulis"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 610-620 (2022)
We aim to develop a paradigm for simultaneous and independent control of multiple degrees of freedom (DOFs) for upper-limb prostheses. To that end, we introduce action control, a novel method to operate prosthetic digits with surface electromyography
Externí odkaz:
https://doaj.org/article/a7923985bf90425597c3d1d86b11eda6
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
IntroductionImproving the robustness of myoelectric control to work over many months without the need for recalibration could reduce prosthesis abandonment. Current approaches rely on post-hoc error detection to verify the certainty of a decoder's pr
Externí odkaz:
https://doaj.org/article/6c7b3dd989f14c80be9c798ddb119ad2
Autor:
Hannah Jones, Sigrid Dupan, Maxford Coutinho, Sarah Day, Deirdre Desmond, Margaret Donovan-Hall, Matthew Dyson, Thea Ekins-Coward, Laurence Kenney, Agamemnon Krasoulis, Doug McIntosh, Kaveh Memarzadeh, Edward Small, Gemma Wheeler, Hancong Wu, Kianoush Nazarpour
Publikováno v:
Prosthesis, Vol 3, Iss 2, Pp 110-118 (2021)
People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced growth in academic knowledge within the field of upper limb prosth
Externí odkaz:
https://doaj.org/article/d4fd3d370a364f78b22e7c1b590b9ce7
Myoelectric digit action decoding with multi-output, multi-class classification: an offline analysis
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
Abstract The ultimate goal of machine learning-based myoelectric control is simultaneous and independent control of multiple degrees of freedom (DOFs), including wrist and digit artificial joints. For prosthetic finger control, regression-based metho
Externí odkaz:
https://doaj.org/article/ae3e769ae891484ca5e2ce83d4b4cd4c
Autor:
Hannah Jones, Sigrid Dupan, Matthew Dyson, Agamemnon Krasoulis, Laurence P. J. Kenney, Margaret Donovan-Hall, Kaveh Memarzadeh, Sarah Day, Maxford Coutinho, Kianoush Nazarpour
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, experience limitations of currently available prosthetic devices. Collaboration between academia and a broad range of stakeholder
Externí odkaz:
https://doaj.org/article/b347ded50cc34656b65c1caf6b4aa722
Autor:
Agamemnon Krasoulis, Iris Kyranou, Mustapha Suphi Erden, Kianoush Nazarpour, Sethu Vijayakumar
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 14, Iss 1, Pp 1-14 (2017)
Abstract Background Myoelectric pattern recognition systems can decode movement intention to drive upper-limb prostheses. Despite recent advances in academic research, the commercial adoption of such systems remains low. This limitation is mainly due
Externí odkaz:
https://doaj.org/article/d170435ce0bd4c08881fd8e68ffd943c
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Machine learning-based myoelectric control is regarded as an intuitive paradigm, because of the mapping it creates between muscle co-activation patterns and prosthesis movements that aims to simulate the physiological pathways found in the human arm.
Externí odkaz:
https://doaj.org/article/545b0ccfc9f64b7cb1c761badb98caab
Publikováno v:
Sensors, Vol 13, Iss 10, Pp 13861-13878 (2013)
Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix
Externí odkaz:
https://doaj.org/article/c0d7b69ebbdc47f7b7c84d48b431f5a5
Computational methods for virtual screening can dramatically accelerate early-stage drug discovery by identifying potential hits for a specified target. Docking algorithms traditionally use physics-based simulations to address this challenge by estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0949f8d3f45f8f35d610869efb9136b2
https://doi.org/10.1101/2022.03.17.484710
https://doi.org/10.1101/2022.03.17.484710
Autor:
Margaret Donovan-Hall, Kianoush Nazarpour, Hannah Jones, Sarah Day, Sigrid Dupan, Laurence Kenney, Kaveh Memarzadeh, Maxford Coutinho, Matthew Dyson, Agamemnon Krasoulis
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Jones, H, Dupan, S, Dyson, M, Krasoulis, A, Kenney, L, Donovan-Hall, M, Memarzadeh, K, Day, S, Coutinho, M & Nazarpour, K 2021, ' Co-Creation and User Perspectives for Upper Limb Prosthetics ', Frontiers in Neurorobotics, vol. 15, 689717 . https://doi.org/10.3389/fnbot.2021.689717
Frontiers in Neurorobotics
Jones, H, Dupan, S, Dyson, M, Krasoulis, A, Kenney, L, Donovan-Hall, M, Memarzadeh, K, Day, S, Coutinho, M & Nazarpour, K 2021, ' Co-Creation and User Perspectives for Upper Limb Prosthetics ', Frontiers in Neurorobotics, vol. 15, 689717 . https://doi.org/10.3389/fnbot.2021.689717
Frontiers in Neurorobotics
People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, experience limitations of currently available prosthetic devices. Collaboration between academia and a broad range of stakeholder