Zobrazeno 1 - 10
of 273
pro vyhledávání: '"hybrid BCI"'
Publikováno v:
Brain-Apparatus Communication, Vol 3, Iss 1 (2024)
Background The motor imagery (MI) paradigm is widely used in active brain-computer interfaces (BCIs), but its effectiveness is hindered by accuracy limitations and individual variability. Tactile stimulation has been proposed as a potential method to
Externí odkaz:
https://doaj.org/article/35fd1b0427634b0e99cc5cdd32ea3b75
Publikováno v:
IEEE Access, Vol 11, Pp 53079-53090 (2023)
In the case of paralysis with visual and tactile impairments, brain–computer interfaces (BCIs) based on auditory and mental imagery paradigms are alternative methods for controlling external devices. This study demonstrates the use of a hybrid BCI
Externí odkaz:
https://doaj.org/article/cb4e2b967bb84eb3bdbf737ed8cf3945
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 329-339 (2022)
Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received
Externí odkaz:
https://doaj.org/article/d84a3a1bada040768d0381cf0f71484d
Autor:
Andrej Gams, Ganesh R. Naik
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/85232d53cf6044cdbae64eb94c26edd5
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2023)
IntroductionMany research papers have reported successful implementation of hybrid brain-computer interfaces by complementarily combining EEG and fNIRS, to improve classification performance. However, modality or feature fusion of EEG and fNIRS was u
Externí odkaz:
https://doaj.org/article/1d9dee88923c482e85ef21de954a4db0
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
A brain-computer interface (BCI) is a non-muscular communication technology that provides an information exchange channel for our brains and external devices. During the decades, BCI has made noticeable progress and has been applied in many fields. O
Externí odkaz:
https://doaj.org/article/5d1b2bec233342f8b282371f20aab031
Autor:
Valeria de Seta, Jlenia Toppi, Emma Colamarino, Rita Molle, Filippo Castellani, Febo Cincotti, Donatella Mattia, Floriana Pichiorri
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity. Hybrid BCIs (h-BCIs) exploit both central and peripheral activat
Externí odkaz:
https://doaj.org/article/5c7ff2319d2b426795aab2426f2b4183
Akademický článek
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Publikováno v:
Bioengineering, Vol 10, Iss 5, p 608 (2023)
Multimodal data fusion (electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS)) has been developed as an important neuroimaging research field in order to circumvent the inherent limitations of individual modalities by combini
Externí odkaz:
https://doaj.org/article/1a47032009f4491d93200f776f1b9f33
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 1, Pp 17-22 (2020)
Objective: Brain-computer interface (BCI) spelling is a promising communication solution for people in paralysis. Currently, BCIs suffer from imperfect decoding accuracy which calls for methods to handle spelling mistakes. Detecting error-related pot
Externí odkaz:
https://doaj.org/article/2ad7b6e00f584b51b17a4e0f86cb4f18