A Comprehensive Review of Sequence and Generative Models in Motor Imagery (MI) Classification for Brain-Computer Interfaces (BCIs).

Συγγραφείς: Abbasi MA; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China., Abbasi HF; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China., Arsalan M; Department of Electrical Engineering, University of Engineering and Technology (UET), Lahore 54890, Pakistan., Khan D; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China., Annuk A; Institute of Forestry and Engineering, Estonian University of Life Sciences, 51006 Tartu, Estonia., Yu X; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.

Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 11; Vol. 26 (16). Date of Electronic Publication: 2026 Aug 11.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Imagination*/physiology , Brain-Computer Interfaces*, Brain/physiology ; Humans ; Generative Adversarial Networks ; Autoencoder ; Recurrent Neural Networks ; Signal Processing, Computer-Assisted ; Electroencephalography ; Neural Networks, Computer ; Generative Artificial Intelligence ; Deep Learning

Adoption of Deep Learning Methods for SSVEP Classification in XR-Based Wearable Brain-Computer Interfaces.

Συγγραφείς: Angrisani L; Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio n. 21, 80125 Naples, Italy., De Benedetto E; Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio n. 21, 80125 Naples, Italy., De Maria A; Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio n. 21, 80125 Naples, Italy., Duraccio L; Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio n. 21, 80125 Naples, Italy., Tedesco A; Department of Public Health, University of Naples Federico II, Via Pansini, 80131 Naples, Italy.

Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 12; Vol. 26 (16). Date of Electronic Publication: 2026 Aug 12.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Evoked Potentials, Visual*/physiology , Brain-Computer Interfaces* , Deep Learning* , Wearable Electronic Devices*, Humans ; Electroencephalography ; Algorithms ; Signal Processing, Computer-Assisted

Source Data Selection for Brain–Computer Interfaces Based on Simple Features

Συγγραφείς: Heskebeck, Frida, Author, Bergeling, Carolina, 1990-, Author, Bernhardsson, Bo, Author

Συνεισφορές: Heskebeck, Frida, Author, Bergeling, Carolina, 1990-, Author, Bernhardsson, Bo, Author

Πηγή: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication IEEE Access. 14:36191-36201

Θεματικοί όροι: Brain–computer interface, calibration, cross subject, machine learning, Riemannian geometry, source data selection, transfer learning, Data communication systems, Data reduction, Feature Selection, Geometry, Interfaces (computer), Learning systems, Real time control, Data Selection, Machine-learning, Performance predictor, Source data, Source selection, Transfer performance

Περιγραφή αρχείου: electronic

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-29271
https://doi.org/10.1109/ACCESS.2026.3670905

Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.

Συγγραφείς: Kim JS; Department of Computer and Information Science, Korea University, Sejong 30019, Republic of Korea., Choi SI; Medical Metrology Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science (KRISS), Daejeon 34113, Republic of Korea., Hwang HJ; Department of Electronics and Information Engineering, Korea University, Sejong 30019, Republic of Korea.; Digital Healthcare Center, Sejong Institute for Business and Technology, Korea University, Sejong 30019, Republic of Korea.; Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology, Korea University, Sejong 30019, Republic of Korea., Han CH; Digital Healthcare Center, Sejong Institute for Business and Technology, Korea University, Sejong 30019, Republic of Korea.; Department of Computer Science and Software Engineering, Korea University, Sejong 30019, Republic of Korea.

Πηγή: Biosensors [Biosensors (Basel)] 2026 Aug 12; Vol. 16 (8). Date of Electronic Publication: 2026 Aug 12.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: MDPI Pub Country of Publication: Switzerland NLM ID: 101609191 Publication Model: Electronic Cited Medium: Internet ISSN: 2079-6374 (Electronic) Linking ISSN: 20796374 NLM ISO Abbreviation: Biosensors (Basel) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain-Computer Interfaces* , Deep Learning* , Electroencephalography* , Ear*, Humans ; Neural Networks, Computer ; Signal-To-Noise Ratio

Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors.

Συγγραφείς: Liu DH; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA., Iwane F; National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland, USA., Zhang M; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA., Cohen LG; National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland, USA., Millán JDR; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.; Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA.; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.; Mulva Clinic for the Neurosciences, The University of Texas at Austin, Austin, Texas, USA.

Πηγή: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Oct; Vol. 13 (55), pp. e76153. Date of Electronic Publication: 2026 Jul 15.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Learning*/physiology , Psychomotor Performance*/physiology , Brain-Computer Interfaces*, Humans ; Male ; Female ; Electroencephalography ; Adult ; Longitudinal Studies

Brain-computer interface training for motor recovery after stroke.

Συγγραφείς: Qin Y; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China., Li M; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou, China., Li Y; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; School of Information Science and Engineering, Lanzhou University, Lanzhou, China.; Key Laboratory of Artificial Intelligence and Computing Power Technology, Lanzhou University, Lanzhou, China., Ma M; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; Department of Psychiatry and Psychotherapy, TUM School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Xu J; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; Population Health Research Institute, Hamilton, Canada., Lu Y; Department of Rehabilitation Medicine, Gansu Province Central Hospital, Lanzhou, China., Shi X; Shaanxi Kangfu Hospital, Xi'an, China., Cui G; Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China., Zhao H; Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.; Department of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Yang K; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou University, Lanzhou, China.; Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.

Πηγή: The Cochrane database of systematic reviews [Cochrane Database Syst Rev] 2026 Aug 21; Vol. 8. Cochrane AN: CD015065. Date of Electronic Publication: 2026 Aug 21.

Τύπος έκδοσης: Journal Article; Review; Systematic Review

Στοιχεία περιοδικού: Publisher: Wiley Country of Publication: England NLM ID: 100909747 Publication Model: Electronic Cited Medium: Internet ISSN: 1469-493X (Electronic) Linking ISSN: 13616137 NLM ISO Abbreviation: Cochrane Database Syst Rev Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Stroke Rehabilitation*/methods , Brain-Computer Interfaces* , Recovery of Function*, Stroke/complications ; Adult ; Humans ; Activities of Daily Living ; Bias ; Muscle Strength ; Randomized Controlled Trials as Topic

[Emerging role of brain-computer interface in orthopedic rehabilitation and motor function restoration].

Συγγραφείς: Deng Q; Department of Sports Medicine, the First Affiliated Hospital of Jinan University, Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Guangdong Key Laboratory of Speed Ability Research, Guangzhou Guangdong, 510632, P. R. China., Wu K; School of Biomedical Science and Engineering, South China University of Technology, Guangzhou Guangdong, 510641, P. R. China., Xie L; WU Xianming School of Intelligent Engineering, Guangzhou Guangdong, 511442, P. R. China.; South China University of Technology, LIZHI Intelligent Technology (Guangzhou) Co., Ltd., Guangzhou Guangdong, 511442, P. R. China., Zhang L; Guangdong-Hong Kong-Macao Institute of Central Nervous System Regeneration, Jinan University, Guangzhou Guangdong, 510632, P. R. China., Wang H; Department of Sports Medicine, the First Affiliated Hospital of Jinan University, Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Guangdong Key Laboratory of Speed Ability Research, Guangzhou Guangdong, 510632, P. R. China., Zheng X; Department of Sports Medicine, the First Affiliated Hospital of Jinan University, Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Guangdong Key Laboratory of Speed Ability Research, Guangzhou Guangdong, 510632, P. R. China.

Πηγή: Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery [Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi] 2026 Aug 15; Vol. 40 (8), pp. 1314-1319.

Τύπος έκδοσης: Journal Article; Review; English Abstract

Στοιχεία περιοδικού: Publisher: Hua xi yi ke da xue Fu shu di 1 yi yuan Country of Publication: China NLM ID: 9425194 Publication Model: Print Cited Medium: Print ISSN: 1002-1892 (Print) Linking ISSN: 10021892 NLM ISO Abbreviation: Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain-Computer Interfaces*, Humans ; Recovery of Function ; Neuronal Plasticity

Electroencephalography-Based Emotion Recognition Using Auditory Stimulation for Affective Brain-Computer Interfaces.

Συγγραφείς: Bouyam C; School of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand., Siribunyaphat N; School of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand.; Informatics Innovative Center of Excellence, Walailak University, Nakhon Si Thammarat 80160, Thailand., Aung ST; Division of Mathematics and Science, Parami University, Washington, DC 20036, USA., Punsawad Y; School of Informatics, Walailak University, Nakhon Si Thammarat 80160, Thailand.; Informatics Innovative Center of Excellence, Walailak University, Nakhon Si Thammarat 80160, Thailand.

Πηγή: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 05; Vol. 26 (15). Date of Electronic Publication: 2026 Aug 05.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Electroencephalography*/methods , Emotions*/physiology , Acoustic Stimulation*/methods , Brain-Computer Interfaces*, Humans ; Female ; Male ; Adult ; Wavelet Analysis ; Machine Learning

[Analysis of the constraints of inherent limitations on the capability boundaries of brain-computer interfaces and corresponding strategies].

Συγγραφείς: Fu Y; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.; Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China., Yao H; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.; Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China., Li T; Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China.; Faculty of Science, Kunming University of Science and Technology, Kunming 650500, P. R. China., Zhao L; Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China.; Faculty of Science, Kunming University of Science and Technology, Kunming 650500, P. R. China., Yang X; Department of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming 650500, China.; Neurorehabilitation Team, Kunming Medical University, Kunming 650500, P. R. China., Luo R; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.; Brain Cognition and Brain-computer Intelligence Integration Group, Kunming University of Science and Technology, Kunming 650500, P. R. China., Xu J; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P. R. China.

Πηγή: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2026 Aug 25; Vol. 43 (4), pp. 669-677.

Τύπος έκδοσης: Journal Article; Review; English Abstract

Στοιχεία περιοδικού: Publisher: Sichuan Sheng sheng wu yi xue gong cheng xue hui Country of Publication: China NLM ID: 9426398 Publication Model: Print Cited Medium: Print ISSN: 1001-5515 (Print) Linking ISSN: 10015515 NLM ISO Abbreviation: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain*/physiology , Brain-Computer Interfaces* , Signal Processing, Computer-Assisted*, Humans ; Electroencephalography ; Algorithms ; Signal-To-Noise Ratio

Towards a Brain-Computer Interface (BCI) for Improving Phonological Processing in Developmental Dyslexia: An Exploratory Study.

Συγγραφείς: Zheng X; Centre for Neuroscience in Education, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom of Great Britain and Northern Ireland., Araújo J; Centre for Neuroscience in Education, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom of Great Britain and Northern Ireland., Busson Q; Centre for Neuroscience in Education, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom of Great Britain and Northern Ireland., Goswami U; Centre for Neuroscience in Education, University of Cambridge, Cambridge, Cambridgeshire, United Kingdom of Great Britain and Northern Ireland.

Πηγή: The European journal of neuroscience [Eur J Neurosci] 2026 Oct; Vol. 64 (7), pp. e70709.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Wiley-Blackwell Country of Publication: France NLM ID: 8918110 Publication Model: Print Cited Medium: Internet ISSN: 1460-9568 (Electronic) Linking ISSN: 0953816X NLM ISO Abbreviation: Eur J Neurosci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Dyslexia*/physiopathology , Speech Perception*/physiology , Brain*/physiopathology , Brain-Computer Interfaces*, Electroencephalography/methods ; Humans ; Female ; Male ; Reading ; Adult ; Young Adult ; Phonetics

A Novel Deep Learning-based Brain Computer Interface for Automatic Speech Recognition using Multistyle Training-based Auditory Generative Adversarial Network

Συγγραφείς: Anusha, Jalagadugu, Reddy, Sivappagari Chandra Mohan

Πηγή: 2026 International Conference on Secure Information Systems and Technologies (ICSIST) Secure Information Systems and Technologies (ICSIST), 2026 International Conference on. :423-431 Aug, 2026

Relation: 2026 International Conference on Secure Information Systems and Technologies (ICSIST)

Preparatory encoding of intended movement in the human motor cortex and implications for brain-computer interfaces.

Συγγραφείς: Rigotti-Thompson M; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA., Nason-Tomaszewski SR; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA., Bechefsky PH; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA., Acosta A; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA., Hahn NV; Department of Neurosurgery, Stanford University, Stanford, CA 94304, USA., Avansino DT; Department of Neurosurgery, Stanford University, Stanford, CA 94304, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA., Richards BA; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA., Nicolas C; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; School of Engineering, Brown University, Providence, RI 02912, USA., Ali YH; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA., Henderson JM; Department of Neurosurgery, Stanford University, Stanford, CA 94304, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA., Hochberg LR; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; School of Engineering, Brown University, Providence, RI 02912, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA; VA Center for Neurorestoration and Neurotechnology, Department of Veterans' Affairs Medical Center, Providence, RI 02908, USA., AuYong N; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA; Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA; Department of Cell Biology, Emory University, Atlanta, GA 30322, USA., Pandarinath C; Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA 30322, USA; Department of Neurosurgery, Emory University, Atlanta, GA 30322, USA. Electronic address: chethan.pandarinath@emory.edu.

Πηγή: Current biology : CB [Curr Biol] 2026 Sep 07; Vol. 36 (17), pp. 4283-4296.e7. Date of Electronic Publication: 2026 Aug 11.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Cell Press Country of Publication: England NLM ID: 9107782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0445 (Electronic) Linking ISSN: 09609822 NLM ISO Abbreviation: Curr Biol Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Motor Cortex*/physiology , Brain-Computer Interfaces*, Movement/physiology ; Humans ; Female ; Adult ; Male

EEG-Based Brain-Computer Interface Control for Lower-Limb Rehabilitation Robots: A Focused Review

Συγγραφείς: Li, Yongkang, Wang, Aihui, Liu, Xinyu, Hu, Xueying, Sun, Wenhan

Πηγή: 2026 International Conference on Advanced Mechatronic Systems (ICAMechS) Advanced Mechatronic Systems (ICAMechS), 2026 International Conference on. :103-108 Aug, 2026

Relation: 2026 International Conference on Advanced Mechatronic Systems (ICAMechS)

Synergistic EEG signal processing for brain-computer interfaces using hybrid MothCray optimization and deep learning.

Συγγραφείς: Kumari A; Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, Goa, 403703, India. Electronic address: annupriya@nitgoa.ac.in., Edla DR; Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, Goa, 403703, India. Electronic address: dr.reddy@nitgoa.ac.in., Ramesh D; Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, 826004, India; Department of Computer Science, Vizja University, Poland. Electronic address: drramesh@iitism.ac.in., Shirodkar VR; Department of Information Technology Goa College of Engineering, Farmagudi, 403401, Goa, India. Electronic address: vaishali@nitgoa.ac.in.

Πηγή: Neuroscience [Neuroscience] 2026 Oct 15; Vol. 614, pp. 47-58. Date of Electronic Publication: 2026 Aug 04.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: United States NLM ID: 7605074 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7544 (Electronic) Linking ISSN: 03064522 NLM ISO Abbreviation: Neuroscience Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Electroencephalography*/methods , Brain*/physiology , Brain-Computer Interfaces* , Deep Learning* , Signal Processing, Computer-Assisted*, Humans ; Algorithms

CogniQ: An MCP-Driven Architecture for Hybrid Classical-Quantum Brain-Computer Interfaces

Συγγραφείς: Gopakumar, Parth, Moncy, Reena, Winson, Savio, Sharma, Swastik

Πηγή: 2026 IEEE 5th World Conference on Applied Intelligence and Computing (AIC) Applied Intelligence and Computing (AIC), 2026 IEEE 5th World Conference on. :1125-1132 Aug, 2026

Relation: 2026 IEEE 5th World Conference on Applied Intelligence and Computing (AIC)

Real-time channel selection for enhanced steady-state visual evoked potentials online brain-computer interface systems.

Συγγραφείς: Guo W; The School of Microelectronics, Shanghai University, Shanghai, 200444, China. Electronic address: albert_guo@shu.edu.cn., Zhao X; Guoke Xinnao (Shanghai) Intelligent Technology Co., Ltd., Shanghai, 201601, China; Shanghai Frontier Innovation Research Institute, Shanghai, 201108, China. Electronic address: zhaoxi@shu.edu.cn., Xu G; The School of Microelectronics, Shanghai University, Shanghai, 200444, China. Electronic address: xugy@shu.edu.cn., Wang Z; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. Electronic address: wangzhenyu@sari.ac.cn., Zhou T; The School of Microelectronics, Shanghai University, Shanghai, 200444, China. Electronic address: zhouting@shu.edu.cn., Zhou W; The School of Microelectronics, Shanghai University, Shanghai, 200444, China. Electronic address: zhouwenhao@shu.edu.cn., Liu H; ShanghaiTech University, Shanghai, 201210, China. Electronic address: liuhf@shanghaitech.edu.cn., Xu T; Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. Electronic address: xuth@sari.ac.cn., Hu H; ShanghaiTech University, Shanghai, 201210, China. Electronic address: huhl@sari.ac.cn.

Πηγή: Journal of neuroscience methods [J Neurosci Methods] 2026 Aug; Vol. 432, pp. 110757. Date of Electronic Publication: 2026 Mar 27.

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Evoked Potentials, Visual*/physiology , Electroencephalography*/methods , Brain*/physiology , Brain-Computer Interfaces* , Signal Processing, Computer-Assisted*, Humans ; Photic Stimulation ; Algorithms ; Male ; Online Systems ; Female ; Adult ; Young Adult

Embedded AI for Subject-Independent Brain Computer Interface using EEG Signals

Συγγραφείς: Meraz, Ivan, Amezaga, Matthew, Islam, Md Rifatul, Siddiqua, Fariza, Shuvo, Md Maruf Hossain

Πηγή: 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS) Circuits and Systems (MWSCAS), 2026 IEEE 69th International Midwest Symposium on. :698-702 Aug, 2026

Relation: 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS)

The emerging field of cognitive brain-computer interfaces.

Συγγραφείς: Saez I; Departments of Neuroscience, Neurosurgery and Neurology, Friedman Brain Institute and Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, S10-113, New York, NY 10029, USA. Electronic address: ignacio.saez@mssm.edu.

Πηγή: Trends in cognitive sciences [Trends Cogn Sci] 2026 Oct; Vol. 30 (10), pp. 881-902. Date of Electronic Publication: 2026 Jul 17.

Τύπος έκδοσης: Journal Article; Review

Στοιχεία περιοδικού: Publisher: Elsevier Science Country of Publication: England NLM ID: 9708669 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-307X (Electronic) Linking ISSN: 13646613 NLM ISO Abbreviation: Trends Cogn Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Cognition*/physiology , Brain*/physiology , Brain-Computer Interfaces*, Humans ; Animals

NeuroVision: Decoding Image-Evoked EEG Patterns Using a Lightweight 1D-CNN for Assistive Brain-Computer Interfaces

Συγγραφείς: K, Mahantesh, S N, Chaithra, Rao, Pooja R, B A, Smitha

Πηγή: 2026 2nd International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE) Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), 2026 2nd International Conference on. :1-8 Aug, 2026

Relation: 2026 2nd International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)

Comparative efficacy of brain-computer interface-coupled robotic rehabilitation, robot-assisted therapy, and motor imagery for upper-limb motor recovery after stroke: a systematic review and network meta-analysis.

Συγγραφείς: Wu Y; Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.; School of Nursing, Capital Medical University, Beijing, 100069, China., Zhang R; Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China., Wu F; Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.; School of Nursing, Capital Medical University, Beijing, 100069, China., Liu M; Department of Nursing, Hainan Provincial People's Hospital, Haikou, 570311, China., Wang Y; Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.; School of Nursing, Capital Medical University, Beijing, 100069, China., Sun W; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. 1926887584@qq.com., Cai W; Department of Nursing, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. ttyyhlb@163.com.

Πηγή: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology [Neurol Sci] 2026 Sep 25; Vol. 47 (10). Date of Electronic Publication: 2026 Sep 25.

Τύπος έκδοσης: Journal Article; Systematic Review; Network Meta-Analysis; Comparative Study

Στοιχεία περιοδικού: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 100959175 Publication Model: Electronic Cited Medium: Internet ISSN: 1590-3478 (Electronic) Linking ISSN: 15901874 NLM ISO Abbreviation: Neurol Sci Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Stroke Rehabilitation*/methods , Robotics*/methods , Recovery of Function*/physiology , Upper Extremity*/physiopathology , Stroke*/therapy , Stroke*/physiopathology , Stroke*/complications , Imagery, Psychotherapy*/methods , Brain-Computer Interfaces*, Humans ; Treatment Outcome