Cephalic Index in the First Three Years of Life: Study of Children with Normal Brain Development Based on Computed Tomography by Wirginia Likus, Grzegorz Bajor, Katrzyna Gruszczyńska, Jan Baron, Jarosław Markowski, Magdalena Machnikowska-Sokołowska, Daniela Milka, Tomasz Lepich

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Brain–computer interfaces in 2023–2024 by Shugeng Chen, Mingyi Chen, Xu Wang, Xiuyun Liu, Bing Liu, Dong Ming

“…Abstract Brain–computer interfaces (BCIs) have advanced at a rapid pace in recent years, particularly in the medical domain. …”
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Bringing Motor Imagery BCI systems outside of the laboratory into daily activities by Sonal Santosh Baberwal, Shirley Coyle

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Semisupervised Soft Mumford-Shah Model for MRI Brain Image Segmentation by Hong-Yuan Wang, Fuhua Chen

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The Ethical Significance of Brain-Computer Interfaces as Enablers of Communication by Toma Gruica

“…Clinical Neurophysiology, 117(3), 538–548. https://doi.org/10.1016/j.clinph.2005.06.027 [9] Poppe, C., & Elger, B. S. (2024). Brain-Computer Interfaces, Completely Locked-In State in Neurodegenerative Diseases, and End-of-Life Decisions. …”
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Boosting brain-computer interface performance through cognitive training: A brain-centric approach by Ziyuan Zhang, Ziyu Wang, Kaitai Guo, Yang Zheng, Minghao Dong, Jimin Liang

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DESIGN AND DEVELOPMENT OF A LINEAR MOTORIZED SOFT ROBOTICS EXO-MUSCULAR (SMER) GLOVE by Nastaran Reza Nazar Zadeh, Jennifer Dela Cruz, Mohammad Tabibi

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Brain Perfusion Analysis Method using Computed Tomography Images by E. Khudiakova, A. Gavrilov, A. Krylov

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The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces by Chengzhen Wu, Bo Yao, Xin Zhang, Ting Li, Jinhai Wang, Jiangbo Pu

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An ensemble convolutional neural network model for brain stroke prediction using brain computed tomography images by Most. Jannatul Ferdous, Rifat Shahriyar

“…The prompt identification of a stroke can prevent lasting brain damage or even save the patient’s life. Doctors advise computed tomography (CT) images of the brain for earlier stroke detection. …”
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Towards developing brain-computer interfaces for people with Multiple Sclerosis. by John S Russo, Tim Mahoney, Kirill Kokorin, Ashley Reynolds, Chin-Hsuan Sophie Lin, Sam E John, David B Grayden

“…<h4>Background</h4>Multiple Sclerosis (MS) can be a severely disabling condition that leads to various neurological symptoms. A Brain-Computer Interface (BCI) may substitute some lost function; however, there is a lack of BCI research in people with MS. …”
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Effects and neural mechanisms of a brain–computer interface-controlled soft robotic glove on upper limb function in patients with subacute stroke: a randomized controlled fNIRS study by Xiang Ji, Xia Lu, Yi Xu, Wenbin Zhang, Han Yang, Chenghui Yin, Hewei Wang, Caili Ren, Yingying Ji, Yongqiang Li, Guilan Huang, Ying Shen

Subjects: “…Brain‒computer interface…”
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Personalized upper limb stroke rehabilitation using data-driven multi-modal electroencephalography (EEG) and near-infrared spectroscopy (NIRS) based brain computer interface (BCI) with soft robotic glove by Isaac Okumura Tan, Lau Ha Chloe Chung, Anna Choo, Zhuo Zhang, Wai Hang Patrick Kwong, Ananda Sidarta, Kai Keng Ang

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Perspectives on Intelligence in Soft Robotics by Vera Gesina Kortman, Barbara Mazzolai, Aimeé Sakes, Jovana Jovanova

“…Additionally, the perspectives on intelligence based on their computational approach are distinguished: centralized computation, decentralized computation, or embedded computation. …”
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Recent applications of EEG-based brain-computer-interface in the medical field by Xiu-Yun Liu, Wen-Long Wang, Miao Liu, Ming-Yi Chen, Tânia Pereira, Desta Yakob Doda, Yu-Feng Ke, Shou-Yan Wang, Dong Wen, Xiao-Guang Tong, Wei-Guang Li, Yi Yang, Xiao-Di Han, Yu-Lin Sun, Xin Song, Cong-Ying Hao, Zi-Hua Zhang, Xin-Yang Liu, Chun-Yang Li, Rui Peng, Xiao-Xin Song, Abi Yasi, Mei-Jun Pang, Kuo Zhang, Run-Nan He, Le Wu, Shu-Geng Chen, Wen-Jin Chen, Yan-Gong Chao, Cheng-Gong Hu, Heng Zhang, Min Zhou, Kun Wang, Peng-Fei Liu, Chen Chen, Xin-Yi Geng, Yun Qin, Dong-Rui Gao, En-Ming Song, Long-Long Cheng, Xun Chen, Dong Ming

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Application of Brain-Computer Interfaces in Rehabilitation of Central Nervous System Disorders by GE Yi, ZHONG Ying, HONG Wenjun, XU Rong

“…Central nervous system (CNS) disorders often cause consciousness, motor, language, cognitive and sensory disorders, which seriously impair patients' quality of life. Brain-computer interface (BCI) technology provides a new paradigm for CNS functional rehabilitation through real-time decoding of brain intentions and transforming them into environmental interaction signals, and remodeling neuroplasticity through motor and sensory feedback and assisted rehabilitation training. …”
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EXPERIMENTAL AND THEORETICAL FOUNDATIONS AND PRACTICAL IMPLEMENTATION OF TECHNOLOGY BRAIN-COMPUTER INTERFACE by A. Ya. Kaplan, A. G. Kochetova, S. L. Shishkin, I. A. Basyul, I. P. Ganin, A. N. Vasilev, S. P. Liburkina

“…Technology brain-computer interface (BCI) allow saperson to learn how to control external devices via thevoluntary regulation of own EEG directly from the brain without the involvement in the process of nerves and muscles. …”
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Application of EEG-Based Brain-Computer Interface Technology in Stroke Rehabilitation by SHU Yuhong, FU Jianming, YAO Yunhai, ZENG Ming, GU Xudong

“…Patients with stroke often suffer from motor, cognitive and speech function disorders, which seriously affect their quality of life. As an innovative technology that combines real-time assessment and rehabilitation training, electroencephalogram (EEG)-based brain-computer interface (BCI) technology has shown great potential in stroke rehabilitation. …”
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Flow Dynamics in Brain Aneurysms: A Review of Computational and Experimental Studies by Prantik Roy Chowdhury, Victor K. Lai, Ruihang Zhang

“…While prior reviews have focused on computational fluid dynamics (CFD) studies on brain aneurysms, particularly patient-specific models from studies conducted over a decade ago, a more recent review is necessary. …”
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Overlapped partitioning for ensemble classifiers of P300-based brain-computer interfaces. by Akinari Onishi, Kiyohisa Natsume

“…A P300-based brain-computer interface (BCI) enables a wide range of people to control devices that improve their quality of life. …”
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