Zobrazeno 1 - 10
of 2 687
pro vyhledávání: '"Steady-state visual"'
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
Publikováno v:
NeuroImage, Vol 299, Iss , Pp 120808- (2024)
Internal bodily signals, such as heartbeats, can influence conscious perception of external sensory information. Spontaneous shifts of attention between interoception and exteroception have been proposed as the underlying mechanism, but direct eviden
Externí odkaz:
https://doaj.org/article/4aebf54340034d6f8a0c4e1577bf3228
Autor:
Jing Zhao, Qian Zhang, Xinrui Wang, Xueshuo Liu, Jiaxin Li, Fengjie Fan, Zhenhu Liang, Xiaoli Li
Publikováno v:
Brain-Apparatus Communication, Vol 3, Iss 1 (2024)
Compared with the commonly used synchronous brain-computer interface (BCI), the asynchronous BCI is a more flexible and natural way to control the real-world robotic devices. The major difficulty of building a robust asynchronous BCI lies in the disc
Externí odkaz:
https://doaj.org/article/67f43e94d1764aecaf151eafdfa6a70a
Publikováno v:
Brain-Apparatus Communication, Vol 3, Iss 1 (2024)
Objective Brain-computer interfaces (BCIs) realize the information transmission between the brain and the external world. Visual evoked potential (VEP) based BCIs have gained widespread attention in the field of multi-instruction interaction attribut
Externí odkaz:
https://doaj.org/article/c1dcaee1613c43a7bb976a4790a81332
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 3 (2024)
Purpose: In recent years, the use of Steady-State Visual Evoked Potentials (SSVEPs) in Brain-Computer Interface (BCI) systems has dramatically increased across several fields, such as rehabilitation, cognitive impairment, and brain disease or disorde
Externí odkaz:
https://doaj.org/article/48f53b794384416ab93b858dbe62d4cf
Autor:
Adeel Wahab, Umar Shahbaz Khan, Tahir Nawaz, Hassan Akbar, Syed Tayyab Hussain Shah, Azfar Khalid, Ali R. Ansari, Raheel Nawaz
Publikováno v:
IEEE Access, Vol 12, Pp 115935-115950 (2024)
In the brain-computer interface, the SSVEP (steady-state visual evoked potential) method serves to foster collaboration between humans and robots. SSVEP-based detection methods require complex multichannel data acquisition, making them difficult to d
Externí odkaz:
https://doaj.org/article/0d6e77e9018d4a67991e67848ca6b2a4
Autor:
Jianqiang Su, Jiaxing Wang, Weiqun Wang, Yihan Wang, Chayut Bunterngchit, Pu Zhang, Zeng-Guang Hou
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2950-2960 (2024)
Motor imagery (MI) based brain computer interface (BCI) has been extensively studied to improve motor recovery for stroke patients by inducing neuroplasticity. However, due to the lower spatial resolution and signal-to-noise ratio (SNR) of electroenc
Externí odkaz:
https://doaj.org/article/89df6e26caf9413cae3727abe33d8258
Autor:
Ze Wang, Lu Shen, Yi Yang, Yueqi Ma, Chi Man Wong, Zige Liu, Cuiyun Lin, Chi Tin Hon, Tao Qian, Feng Wan
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2470-2481 (2024)
The steady-state visual evoked potential (SSVEP) has become one of the most prominent BCI paradigms with high information transfer rate, and has been widely applied in rehabilitation and assistive applications. This paper proposes a least-square (LS)
Externí odkaz:
https://doaj.org/article/76b2922a97cb44b6bdbf1cd6867bca94
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