Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Shangen Zhang"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1647-1656 (2024)
This study embarks on a comprehensive investigation of the effectiveness of repetitive transcranial direct current stimulation (tDCS)-based neuromodulation in augmenting steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs), a
Externí odkaz:
https://doaj.org/article/0053b9203db2400b884ddff155ee3119
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1933-1942 (2023)
Hybrid brain-computer interfaces (HBCI) combining eye-tracker has attracted the attentions of researchers in target recognition. However, there are still many issues to be addressed in rapid sequence visual presentation (RSVP) tasks, such as the effe
Externí odkaz:
https://doaj.org/article/eee933891fe14d6eb38a67461cac8404
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1364-1373 (2023)
The study of brain state estimation and intervention methods is of great significance for the utility of brain-computer interfaces (BCIs). In this paper, a neuromodulation technology using transcranial direct current stimulation (tDCS) is explored to
Externí odkaz:
https://doaj.org/article/1f35c98ae3c44e67a8c75d22a14a5975
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on st
Externí odkaz:
https://doaj.org/article/7db92b3169d142b2aed07852de767ea5
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
The application study of robot control based brain-computer interface (BCI) not only helps to promote the practicality of BCI but also helps to promote the advancement of robot technology, which is of great significance. Among the many obstacles, the
Externí odkaz:
https://doaj.org/article/35c90613342c491c898ddfc712eb9d16
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
This paper reports on a benchmark dataset acquired with a brain–computer interface (BCI) system based on the rapid serial visual presentation (RSVP) paradigm. The dataset consists of 64-channel electroencephalogram (EEG) data from 64 healthy subjec
Externí odkaz:
https://doaj.org/article/565c6d117eab44fea83d198e536a868d
Publikováno v:
Tsinghua Science and Technology. 28:322-329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52958324744f7fa88d05922ce4adc818
https://doi.org/10.26599/tst.2021.9010085
https://doi.org/10.26599/tst.2021.9010085
Autor:
Shangen Zhang, Xiaogang Chen
Publikováno v:
Brain Science Advances. 8:50-56
Steady-state visual evoked potential (SSVEP)-based brain– computer interfaces (BCIs) have been widely studied. Considerable progress has been made in the aspects of stimulus coding, electroencephalogram processing, and recognition algorithms to enh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85231d8107b9714deb9b261a2ebc0000
https://doi.org/10.26599/bsa.2022.9050006
https://doi.org/10.26599/bsa.2022.9050006
Publikováno v:
Brain Science Advances. 6:120-131
In the fatigue state, the neural response characteristics of the brain might be different from those in the normal state. Brain functional connectivity analysis is an effective tool for distinguishing between different brain states. For example, comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75d0bf307cd0a185bac2a49e8420bc4
https://doi.org/10.26599/bsa.2020.9050008
https://doi.org/10.26599/bsa.2020.9050008
Publikováno v:
Tsinghua Science and Technology. 25:435-446
This study explored methods for improving the performance of Steady-State Visual Evoked Potential (SSVEP)-based Brain-Computer Interfaces (BCI), and introduced a new analytical method to quantitatively analyze and reflect the characteristics of SSVEP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1f81a0bf5ba64f5c3ca028842f5589f
https://doi.org/10.26599/tst.2019.9010028
https://doi.org/10.26599/tst.2019.9010028