Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Xingliang Han"'
Autor:
Jun Xie, Guozhi Cao, Guanghua Xu, Peng Fang, Guiling Cui, Yi Xiao, Guanglin Li, Min Li, Tao Xue, Yanjun Zhang, Xingliang Han
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Noise has been proven to have a beneficial role in non-linear systems, including the human brain, based on the stochastic resonance (SR) theory. Several studies have been implemented on single-modal SR. Cross-modal SR phenomenon has been confirmed in
Externí odkaz:
https://doaj.org/article/4d91a098636a4391aec9b0237e9f8b2d
Publikováno v:
Frontiers in Neurorobotics, Vol 12 (2018)
Neuroplasticity, also known as brain plasticity, is an inclusive term that covers the permanent changes in the brain during the course of an individual's life, and neuroplasticity can be broadly defined as the changes in function or structure of the
Externí odkaz:
https://doaj.org/article/870747b1fa174dd39f448c2d47882cf0
Publikováno v:
NER
Synchronous or asynchronous steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has been widely studied due to its advantages of obvious spectral characteristics, less electrodes usage and no training needed for ordinary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99300821782dee23d36233344d28e4f7
https://doi.org/10.1109/ner.2019.8717177
https://doi.org/10.1109/ner.2019.8717177
Publikováno v:
UR
Steady-state visual evoked potential (SSVEP) and steady-state motion visual evoked potential (SSMVEP) are commonly implemented in brain computer interfaces (BCIs). The primary visual system is believed to consist of two pathways: a ventral pathway in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b9c10123b9c8ff29cc4e26ebbb3173e
https://doi.org/10.1109/urai.2018.8441841
https://doi.org/10.1109/urai.2018.8441841
Publikováno v:
EMBC
Signal processing is one of the key points in brain computer interface (BCI) application. The common methods in BCI signal classification include canonical correlation analysis (CCA), support vector machine (SVM) and so on. However, because BCI signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3ea4ffc0b9dcc796d3905a8dc6f30d6
https://pubmed.ncbi.nlm.nih.gov/29060616
https://pubmed.ncbi.nlm.nih.gov/29060616
Publikováno v:
URAI
Brain-computer interface (BCI) is a modern useful tool of bypassing usual channels of muscle and peripheral nervous system to establish a direct connection between brain and external devices and to restore fundamental communication and control skills
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af37b68363e147e7500cf03c68e750e
https://doi.org/10.1109/urai.2017.7992703
https://doi.org/10.1109/urai.2017.7992703
Publikováno v:
URAI
The technology of lower limb rehabilitation robot is a hot research topic in recent years, while the exoskeleton robot is a typical representative. Accurate trajectory tracking ability is the base of the exoskeleton mechanical leg to coordinately dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34a32351dcb914f18b9b6aaf49701e12
https://doi.org/10.1109/urai.2017.7992809
https://doi.org/10.1109/urai.2017.7992809
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2017 Jul; Vol. 2017, pp. 3356-3359.