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检索条件"主题词=Brain-computerinterface"
9 条 记 录,以下是1-10 订阅
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Implantable Neural Microelectrodes: How to Reduce Immune Response
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ACS BIOMATERIALS SCIENCE & ENGINEERING 2024年 第5期10卷 2762-2783页
作者: Xiang, Ying Zhao, Yuewu Cheng, Tingting Sun, Shengkai Wang, Jine Pei, Renjun Univ Sci & Technol China USTC Sch Nanotech & Nanobion Hefei 230026 Peoples R China Chinese Acad Sci Suzhou Inst Nanotech & Nanobion CAS Key Lab Nanobio Interface Suzhou 215123 Peoples R China Jiangxi Inst Nanotechnol Nanchang 330200 Peoples R China Dezhou Univ Coll Med & Nursing Shandong Prov Engn Lab Novel Pharmaceut Excipients Dezhou 253023 Peoples R China
Implantable neural microelectrodes exhibit the great ability to accurately capture the electrophysiological signals from individual neurons with exceptional submillisecond precision, holding tremendous potential for a... 详细信息
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Cross-subject fusion based on time-weighting canonical correlation analysis in SSVEP-BCIs
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MEASUREMENT 2022年 199卷
作者: Sun, Ying Ding, Wenzheng Liu, Xiaolin Zheng, Dezhi Chen, Xinlei Hui, Qianxin Na, Rui Wang, Shuai Fan, Shangchun Beihang Univ Sch Instrumentat & Optoelect Engn Beijing 100191 Peoples R China Beihang Univ Sch Res Inst Frontier Sci Beijing 100191 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing 100191 Peoples R China Beihang Univ Beijing Adv Innovat Ctr Big Data based Precis Med Beijing 100191 Peoples R China Tsinghua Univ Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China Cheng Lab Shenzhen 518038 Peoples R China
brain-computer interface technology provides new possibilities for medical rehabilitation and human- computer interaction. The steady-state visual evoked potential based brain-computer interface (SSVEP-BCI) is the pre... 详细信息
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Different Set Domain Adaptation for brain-Computer Interfaces: A Label Alignment Approach
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IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 2020年 第5期28卷 1091-1108页
作者: He, He Wu, Dongrui Huazhong Univ Sci & Technol Minist Educ Key Lab Image Proc & Intelligent Control Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China
A brain-computer interface (BCI) system usually needs a long calibration session for each new subject/task to adjust its parameters, which impedes its transition from the laboratory to real-world applications. Domain ... 详细信息
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Modulation of Cortical Excitability with BCI for Stroke Rehabilitation  7
Modulation of Cortical Excitability with BCI for Stroke Reha...
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7th International Winter Conference on brain-Computer Interface (BCI)
作者: Mrachacz-Kersting, Natalie Farina, Dario Aalborg Univ Fac Med Dept Hlth Sci & Technol Aalborg Denmark Imperial Coll London Dept Bioengn London England
Here we present the possibility of inducing significant neuroplasticity as assessed by non-invasive transcranial magnetic stimulation (TMS) using a unique brain-Computer Interface (BCI) build on known mechanisms of me... 详细信息
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Listening to the brain in Real Time-The Chengdu brainwave Music
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Journal of Electronic Science and Technology 2009年 第1期000卷 34-39页
作者: Dan Wu Yang Liu De-Zhong Yao Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu610054China
Electroencephalogram(EEG) provides a window for the activity of the human *** a novel form of the brain-computer interface(BCI),the online/offline EEG data may be interpreted through its auditory representation which ... 详细信息
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Semi-Supervised Learning Based on Manifold in BCI
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Journal of Electronic Science and Technology 2009年 第1期000卷 22-26页
作者: Ji-Ying Zhong Xu Lei De-Zhong Yao Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu610054China
A Laplacian support vector machine(LapSVM) algorithm,a semi-supervised learning based on manifold,is introduced to brain-computer interface(BCI) to raise the classification precision and reduce the subjects’ training... 详细信息
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Common Spatial Pattern Ensemble Classifier and Its Application in brain-Computer Interface
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Journal of Electronic Science and Technology 2009年 第1期000卷 17-21页
作者: Xu Lei Ping Yang Peng Xu Tie-Jun Liu De-Zhong Yao Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu610054China
Common spatial pattern(CSP) algorithm is a successful tool in feature estimate of brain-computer interface(BCI).However,CSP is sensitive to outlier and may result in poor outcomes since it is based on pooling the cova... 详细信息
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fMRI-BCI:a Review
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Journal of Electronic Science and Technology 2009年 第1期000卷 78-81页
作者: Da-Huan Li Qin Gao Wei-Shuai Lü Hua-Fu Chen Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu610054China
Functional magnetic resonance imaging(fMRI) is a new tool for brain-computer interface(BCI).This paper presents an overview to *** attention is mainly put on the methods of signal acquisition,signal preprocessing,and ... 详细信息
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Probabilistic Methods in Multi-Class brain-Computer Interface
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Journal of Electronic Science and Technology 2009年 第1期000卷 12-16页
作者: Ping Yang Xu Lei Tie-Jun Liu Peng Xu De-Zhong Yao Key Laboratory for NeuroInformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu610054China
Two probabilistic methods are extended to research multi-class motor imagery of brain-computer interface(BCI):support vector machine(SVM) with posteriori probability(PSVM) and Bayesian linear dis-criminant analysis wi... 详细信息
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