Zobrazeno 1 - 10
of 3 194
pro vyhledávání: '"SSVEP"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Brain–computer interfaces (BCIs) based on steady-state visual evoked potentials (SSVEP) have received widespread attention due to their high information transmission rate, high accuracy, and rich instruction set. However, the performance o
Externí odkaz:
https://doaj.org/article/acbc6d8bb714417f82cf63972afdb01e
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-18 (2024)
Abstract Background Multivariate synchronization index (MSI) has been successfully applied for frequency detection in steady state visual evoked potential (SSVEP) based brain–computer interface (BCI) systems. However, the standard MSI algorithm and
Externí odkaz:
https://doaj.org/article/165bf4fe1ca9485e98f85420344baf76
Autor:
Tanagrit Phangwiwat, Phond Phunchongharn, Yodchanan Wongsawat, Itthi Chatnuntawech, Sisi Wang, Chaipat Chunharas, Thomas C. Sprague, Geoffrey F. Woodman, Sirawaj Itthipuripat
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In primates, foveal and peripheral vision have distinct neural architectures and functions. However, it has been debated if selective attention operates via the same or different neural mechanisms across eccentricities. We tested these alter
Externí odkaz:
https://doaj.org/article/ba88e565bd094388b5832cc33d82467c
Autor:
M. Kancaoğlu, M. Kuntalp
Publikováno v:
HardwareX, Vol 19, Iss , Pp e00567- (2024)
The global shortage of integrated circuits due to the COVID-19 pandemic has made it challenging to build biopotential acquisition devices like electroencephalography (EEG) hardware. To address this issue, a new hardware system using common ICs has be
Externí odkaz:
https://doaj.org/article/ba3ec42671de493085499e2bd7ecba19
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 622-634 (2024)
Rehabilitation devices, such as traditional rigid exoskeletons or exosuits, have been widely used to rehabilitate upper limb function post-stroke. In this paper, we have developed an exosuit with four degrees of freedom to enable users to involve mor
Externí odkaz:
https://doaj.org/article/f502e9d0db5b4c4b9853cf4cd9c3d1c7
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2376-2387 (2024)
Various training-based spatial filtering methods have been proposed to decode steady-state visual evoked potentials (SSVEPs) efficiently. However, these methods require extensive calibration data to obtain valid spatial filters and temporal templates
Externí odkaz:
https://doaj.org/article/70ebef0a577f4fa09038b9c6da2377fc
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2114-2123 (2024)
Steady-state visual evoked potential (SSVEP) is one of the most used brain-computer interface (BCI) paradigms. Conventional methods analyze SSVEPs at a fixed window length. Compared with these methods, dynamic window methods can achieve a higher info
Externí odkaz:
https://doaj.org/article/043df314e38f46a7aa52da8b527a129f
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1586-1595 (2024)
Visual selective attention studies generally tend to apply cuing paradigms to instructively direct observers’ attention to certain locations, features or objects. However, in real situations, attention in humans often flows spontaneously without an
Externí odkaz:
https://doaj.org/article/1d9d2078091c434d9076f7a3d3909033
Publikováno v:
IEEE Access, Vol 12, Pp 53828-53837 (2024)
Working state classification, which is a critical part of an asynchronous control system based on a brain-computer interface (BCI). The traditional algorithms for the working state classification are based on the threshold of power spectral density (
Externí odkaz:
https://doaj.org/article/43ad113ff15246fc9e3bf4629eb531b5
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1407-1415 (2024)
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have emerged as a prominent technology due to their high information transfer rate, rapid calibration time, and robust signal-to-noise ratio. However, a critical chal
Externí odkaz:
https://doaj.org/article/81346f4280b64706a3848f1de3b37fe8