Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Weijie Fei"'
Autor:
Jiarong Wang, Luzheng Bi, Weijie Fei, Xiangyu Xu, Aixian Liu, Linhong Mo, Aberham Genetu Feleke
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2087-2095 (2024)
Bimanual coordination is important for developing a natural motor brain-computer interface (BCI) from electroencephalogram (EEG) signals, covering the aspects of bilateral arm training for rehabilitation, bimanual coordination for daily-life assistan
Externí odkaz:
https://doaj.org/article/8662a57f989e46d68f79c3646c5e0d76
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1344-1354 (2024)
Motor brain-computer interfaces (BCIs) have gained growing research interest in motor rehabilitation, restoration, and prostheses control. Decoding upper-limb movement direction with noninvasive BCIs has been extensively investigated. However, few of
Externí odkaz:
https://doaj.org/article/f800225595b547f88f3ed403bc9b6000
Publikováno v:
Sensors, Vol 24, Iss 19, p 6304 (2024)
Brain–computer interface (BCI) offers a novel means of communication and control for individuals with disabilities and can also enhance the interactions between humans and machines for the broader population. This paper explores the brain neural si
Externí odkaz:
https://doaj.org/article/0b5ecdabc1df4bd2af5d0db66ce8d077
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
The target detection based on electroencephalogram (EEG) signals is a new target detection method. This method recognizes the target by decoding the specific neural response when an operator observes the target, which has important theoretical and ap
Externí odkaz:
https://doaj.org/article/c0bd0f28b1e24f5aa734e76280c9f883
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4413-4427 (2023)
Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion intentions from brain signals directly and outputs corresponding control commands without activating peripheral nerves and muscles. Motor BCIs can be used for the re
Externí odkaz:
https://doaj.org/article/ba903e7aef2a494ca2b6aec50b919125
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 229-237 (2023)
As an important means of environmental reconnaissance and regional security protection, sound target detection (STD) has been widely studied in the field of machine learning for a long time. Considering the shortcomings of the robustness and generali
Externí odkaz:
https://doaj.org/article/f37ac3daa4724c3db33a7c4b5043da6c
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 1384-1393 (2023)
Motor brain-computer interface (BCI) can intend to restore or compensate for central nervous system functionality. In the motor-BCI, motor execution (ME), which relies on patients’ residual or intact movement functions, is a more intuitive and natu
Externí odkaz:
https://doaj.org/article/35d4b74fe0d54c10ac2b5706f7712dec
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2845-2855 (2022)
The continuous decoding of human movement intention based on electroencephalogram (EEG) signals is valuable for developing a more natural motor augmented or assistive system instead of its discrete classifications. The classic center-out paradigm has
Externí odkaz:
https://doaj.org/article/0b056dba44ca45a7b68c2c8140a85111
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Decoding human hand movement from electroencephalograms (EEG) signals is essential for developing an active human augmentation system. Although existing studies have contributed much to decoding single-hand movement direction from EEG signals, decodi
Externí odkaz:
https://doaj.org/article/65cdaaa144bd4b7489b2b0a3dca9cb84
Publikováno v:
IEEE Access, Vol 7, Pp 38721-38729 (2019)
Using electroencephalograms (EEG) to continuously control dynamic systems (such as wheelchairs and vehicles) have important values in helping people improve their quality of life and independence. In this paper, we develop a novel event-related poten
Externí odkaz:
https://doaj.org/article/40589137f44b4c95bcfac67abeefc183