Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zied Tayeb"'
Autor:
Zied Tayeb, Andrei Dragomir, Jin Ho Lee, Nida Itrat Abbasi, Emmanuel Dean, Aishwarya Bandla, Rohit Bose, Raghav Sundar, Anastasios Bezerianos, Nitish V. Thakor, Gordon Cheng
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Understanding the human brain’s perception of different thermal sensations has sparked the interest of many neuroscientists. The identification of distinct brain patterns when processing thermal stimuli has several clinical applications, s
Externí odkaz:
https://doaj.org/article/39ca16c95a8649d6b7bc6ee45db22c88
Autor:
Zied Tayeb, Juri Fedjaev, Nejla Ghaboosi, Christoph Richter, Lukas Everding, Xingwei Qu, Yingyu Wu, Gordon Cheng, Jörg Conradt
Publikováno v:
Sensors, Vol 19, Iss 1, p 210 (2019)
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.
Externí odkaz:
https://doaj.org/article/b64169d6a1bb40e5a5f3bf8f754580a2
Publikováno v:
SpringerBriefs in Electrical and Computer Engineering ISBN: 9783030792862
Rationale In recent times, we have witnessed a push towards restoring sensory perception to upper-limb amputees, which includes the whole spectrum from gentle touch to noxious stimuli. These are essential components for body protection as well as for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12543fb11ffeddd3e6d658df93a8d91c
https://doi.org/10.1007/978-3-030-79287-9_5
https://doi.org/10.1007/978-3-030-79287-9_5
Publikováno v:
ICRA
In this paper, we propose a real-time human-robot interface (HRI) system, where Electrooculography (EOG) and Electromyography (EMG) signals were decoded to perform reach-to-grasp movements. For that, five different eye movements (up, down, left, righ
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
In recent times, we have witnessed a push towards restoring sensory perception to upper-limb amputees, which includes the whole spectrum from gentle touch to noxious stimuli. These are essential components for body protection as well as for restoring
Autor:
Zied Tayeb, Nikola Kasabov, Josafath I. Espinosa-Ramos, Cyrine Bhiri, Gordon Cheng, Steve Furber, Christoph Richter, Jan Behrenbeck, Jörg Conradt, Oliver Rhodes
Publikováno v:
Behrenbeck, J, Tayeb, Z, Bhiri, C, Richter, C, Rhodes, O, Kasabov, N, Espinosa-Ramos, J, Furber, S, Cheng, G & Conradt, J 2019, ' Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware ', Journal of Neural Engineering, vol. 16, no. 2, 026014 . https://doi.org/10.1088/1741-2552/aafabc
Objective. The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and
Autor:
Gyorgy Levay, Gordon Cheng, Keqin Ding, Anastasios Bezerianos, Andrei Dragomir, Matthew S. Fifer, Mark M. Iskarous, Christopher L. Hunt, Zied Tayeb, Nitish V. Thakor, Luke Osborn, Rohit Bose, Mark A. Hays, Robert S. Armiger
Publikováno v:
J Neural Eng
ObjectiveA major challenge for controlling a prosthetic arm is communication between the device and the user’s phantom limb. We show the ability to enhance amputees’ phantom limb perception and improve movement decoding through targeted transcuta
Autor:
Gordon Cheng, Jörg Conradt, Lukas Everding, Nejla Ghaboosi, Zied Tayeb, Juri Fedjaev, Yingyu Wu, Xingwei Qu, Christoph Richter
Publikováno v:
Sensors
Volume 19
Issue 1
Sensors, Vol 19, Iss 1, p 210 (2019)
Sensors (Basel, Switzerland)
Volume 19
Issue 1
Sensors, Vol 19, Iss 1, p 210 (2019)
Sensors (Basel, Switzerland)
Non-invasive, electroencephalography (EEG)-based brain-computer interfaces (BCIs) on motor imagery movements translate the subject’s motor intention into control signals through classifying the EEG patterns caused by different imagination tasks, e.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b84f8294e43f03c85c27fb7a0bbbf3
https://doi.org/10.20944/preprints201809.0481.v1
https://doi.org/10.20944/preprints201809.0481.v1
Autor:
Gordon Cheng, Matteo Saveriano, Nejla Ghaboosi, Juri Fedjaev, Jörg Conradt, Zied Tayeb, Jonas F. Braun, Christoph Richter, Leonard Rychly, Nicolai Waniek, Christian Widderich
Publikováno v:
Journal of neural engineering. 15(6)
Objective The objective of this work is to present gumpy, a new free and open source Python toolbox designed for hybrid brain-computer interface (BCI). Approach Gumpy provides state-of-the-art algorithms and includes a rich selection of signal proces
Publikováno v:
NER
Non-invasive brain machine interfaces (BMIs) on motor imagery movements have been widely studied and used for many years to take advantage of the intuitive link between imagined motor tasks and natural actions. En route to future technical applicatio