Results 41 to 50 of about 17,170 (155)

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

Nature Communications, 2018
Brain-computer interface (BCI) can improve motor skills on stroke patients. This study shows that BCI-controlled neuromuscular electrical stimulation therapy can cause cortical reorganization due to activation of efferent and afferent pathways, and this ...
A. Biasiucci, R. Leeb, I. Iturrate, S. Perdikis, A. Al-Khodairy, T. Corbet, A. Schnider, T. Schmidlin, H. Zhang, M. Bassolino, D. Viceic, P. Vuadens, A. G. Guggisberg, J. d. R. Millán   +13 more
doaj   +1 more source

A flexible neural implant with ultrathin substrate for low-invasive brain–computer interface applications

Microsystems & Nanoengineering, 2022
Implantable brain–computer interface (BCI) devices are an effective tool to decipher fundamental brain mechanisms and treat neural diseases. However, traditional neural implants with rigid or bulky cross-sections cause trauma and decrease the quality of ...
Zhejun Guo, Fang Wang, Longchun Wang, Kejun Tu, Chunpeng Jiang, Ye Xi, Wen Hong, Qingda Xu, Xiaolin Wang, Bin Yang, Bomin Sun, Zude Lin, Jingquan Liu   +12 more
doaj   +1 more source

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

Advanced Intelligent Systems, EarlyView.
Intravascular electroencephalography (ivEEG) using micro‐intravascular electrodes was developed. Cortical‐vein ivEEG showed a higher signal‐to‐noise ratio and finer spatial resolution of somatosensory evoked potentials (SEPs) than superior sagittal sinus ivEEG, and deep‐vein ivEEG captured clear visual evoked potentials.
Takamitsu Iwata, Hajime Nakamura, Takafumi Uemura, Teppei Araki, Takaki Matsumura, Takaaki Abe, Toshikazu Nezu, Masatoshi Takagaki, Tomohiko Ozaki, Shinpei Miura, Ryohei Fukuma, Sam E. John, David B. Grayden, Haruhiko Kishima, Tsuyoshi Sekitani, Takufumi Yanagisawa   +15 more
wiley   +1 more source

A Novel Quick-Response Eigenface Analysis Scheme for Brain–Computer Interfaces

Sensors, 2022
The brain–computer interface (BCI) is used to understand brain activities and external bodies with the help of the motor imagery (MI). As of today, the classification results for EEG 4 class BCI competition dataset have been improved to provide better ...
Hojong Choi, Junghun Park, Yeon-Mo Yang
doaj   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

Associating cognitive abilities with naturalistic search behavior

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 665-685, April 2025.
Abstract Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real‐world, naturalistic settings and how real‐world search behaviors relate to cognitive abilities.
Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo   +2 more
wiley   +1 more source

Evolution of the Brain Computing Interface (BCI) and Proposed Electroencephalography (EEG) Signals Based Authentication Model

MATEC Web of Conferences, 2018
With current advancements in the field of Brain Computer interface it is required to study how it will affect the other technologies currently in use. In this paper, the authors motivate the need of Brain Computing Interface in the era of IoT (Internet ...
Ramzan Qaseem, Shidlovskiy Stanislav
doaj   +1 more source

A review of artificial intelligence for EEG‐based brain−computer interfaces and applications

Brain Science Advances, 2020
The advancement in neuroscience and computer science promotes the ability of the human brain to communicate and interact with the environment, making brain–computer interface (BCI) top interdisciplinary research.
Zehong Cao
doaj   +1 more source

Joie: a Joy-based Brain-Computer Interface (BCI)

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023
The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23), October 29–November 01 ...
Angela Vujic, Shreyas Nisal, Pattie Maes
openaire   +2 more sources

Transforming Brain Health With Neurotechnology Convergence (Part II): Intelligent Neurointervention Systems for Neurological Disorders

Brain Health, EarlyView.
ABSTRACT Neurological disorders represent a critical domain within global health, necessitating advanced interventions to address complex pathologies such as tumors, functional disorders, and cerebrovascular diseases. Despite the proven benefits of early intervention, current treatment paradigms face significant challenges: (1) limited precision in ...
Qing Ye, Fei Peng, Chao Pan, Ping Zhang, Xuewei Xie, Zixiao Li, Yingxin Tang, Danyang Chen, Yuanwei Li, Jiawen Wu, Zao Han, Qing Dai, Quansheng Gu, Jizong Zhao, Zhouping Tang   +14 more
wiley   +1 more source