Results 51 to 60 of about 28,559 (251)

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 Wearable Channel Selection-Based Brain-Computer Interface for Motor Imagery Detection

Sensors, 2016
Motor imagery-based brain-computer interface (BCI) is a communication interface between an external machine and the brain. Many kinds of spatial filters are used in BCIs to enhance the electroencephalography (EEG) features related to motor imagery.
Chi-Chun Lo, Tsung-Yi Chien, Yu-Chun Chen, Shang-Ho Tsai, Wai-Chi Fang, Bor-Shyh Lin   +5 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

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

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

BNCI systems as a potential assistive technology: ethical issues and participatory research in the BrainAble project [PDF]

, 2013
This paper highlights aspects related to current research and thinking about ethical issues in relation to Brain Computer Interface (BCI) and Brain-Neuronal Computer Interfaces (BNCI) research through the experience of one particular project, BrainAble ...
Allison B, Brunner C, Cincotti F, Clare Carmichael, Daly JJ, Dobkin BH, Future BNCI, Guger C, Hanagasi HA, Haselager P, Kleih SC, Kubler A, Lomen-Hoerth C, Olsson E, Pape T, Patrick Carmichael, Pfurtscheller G, Pfurtscheller G, Riis P, Sellers E, Strong MJ, Tamburrini G, van Erp J, Volosyak I, Wolpaw JR, Wolpaw JR, Wolpe PR   +26 more
core   +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

Beyond wound sealing: A dual‐functional adhesive nanofiber membrane promoting coagulation and osteogenesis in extraction sites

BMEMat, EarlyView.
Inspired by the suction mechanics of octopus suckers, a dual‐layer nanofiber membrane integrates antibacterial protection, strong wet adhesion, and osteogenic support, offering a bioinspired strategy for effective hemostasis and alveolar bone preservation.
Huijing Ma, Liheng Gao, Hao Liang, Wentao Jiang, Junyi Wang, Jiajia Wang, Shuhan Duan, Lingxi Meng, Adilijiang Yimiti, Wenjie Zhang   +9 more
wiley   +1 more source

Is implicit motor imagery a reliable strategy for a brain computer interface? [PDF]

, 2017
Explicit motor imagery (eMI) is a widely used brain computer interface (BCI) paradigm, but not everybody can accomplish this task. Here we propose a BCI based on implicit motor imagery (iMI).
Osuagwu, Bethel A., Vuckovic, Aleksandra, Zych, Magdalena   +2 more
core   +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