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Brain-computer interfaces (BCIs) are one of the few alternatives to enable locked-in syndrome (LIS) patients to communicate with the external world, while they are the only solution for complete locked-in syndrome (CLIS) patients, who lost…

人机交互 · 计算机科学 2023-07-28 Davide D'Adamo , Emiliano Robert , Cristina Gena , Silvestro Roatta

Patients with amyotrophic lateral sclerosis (ALS) in the completely locked-in state (CLIS) can lose all reliable motor control and are left without any means of communication. It remains unknown whether non-invasive electroencephalogram…

人机交互 · 计算机科学 2025-07-02 Deland Liu , Frigyes Samuel Racz , Zoe Lalji , Jose del R. Millan

Patients with Amyotrophic Lateral Sclerosis (ALS) progressively lose voluntary motor control, often leading to a Locked-In State (LIS), or in severe cases, a Completely Locked-in State (CLIS). Eye-tracking (ET) systems are common…

人机交互 · 计算机科学 2025-09-30 Ana Patrícia Pinto , Rute Bettencourt , Urbano J. Nunes , Gabriel Pires

Brain-Computer Interface (BCI) is a powerful communication tool between users and systems, which enhances the capability of the human brain in communicating and interacting with the environment directly. Advances in neuroscience and…

信号处理 · 电气工程与系统科学 2020-01-31 Xiaotong Gu , Zehong Cao , Alireza Jolfaei , Peng Xu , Dongrui Wu , Tzyy-Ping Jung , Chin-Teng Lin

Intracranial language brain-computer interfaces (BCIs) are a promising route for restoring communication in people with severe motor and speech impairments, but clinical translation remains limited by fragmented evidence and unresolved…

神经元与认知 · 定量生物学 2026-03-17 Dongyi He , Wai Ting Siok , Nizhuan Wang

Neurological and Physiological Disorders that impact emotional regulation each have their own unique characteristics which are important to understand in order to create a generalized solution to all of them. The purpose of this experiment…

人机交互 · 计算机科学 2024-11-25 Vedant Mehta

Brain-computer interfaces (BCIs) often suffer from limited robustness and poor long-term adaptability. Model performance rapidly degrades when user attention fluctuates, brain states shift over time, or irregular artifacts appear during…

信号处理 · 电气工程与系统科学 2025-11-12 Yeon-Woo Choi , Hye-Bin Shin , Dan Li

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer…

神经元与认知 · 定量生物学 2020-07-28 J. A. Gaxiola-Tirado

Brain-computer interfaces (BCI) are presented as a solution for people with global paralysis, also known as locked-in syndrome (LIS). The targeted population includes the most severe patients, with no residual eye movements, who cannot use…

神经元与认知 · 定量生物学 2023-10-03 Perrine Seguin , Emmanuel Maby , Fabien Perrin , Alessandro Farnè , Jérémie Mattout

Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer interaction more natural, especially for people with neuro-muscular disabilities. Among the existing solutions the systems relying on electroencephalograms…

Brain-Computer Interfaces (BCIs) based on Steady State Visually Evoked Potentials (SSVEPs) have proven effective and provide significant accuracy and information-transfer rates. This family of strategies, however, requires external devices…

信号处理 · 电气工程与系统科学 2022-04-26 Arturo Micheli , Davide Consoli , Adrien Merlini , Paolo Ricci , Francesco P. Andriulli

Individuals with a locked-in state live with severe whole-body paralysis that limits their ability to communicate with family and loved ones. Recent advances in the brain-computer interface (BCI) technology have presented a potential…

Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in different areas such as neurorehabilitation, control of…

信号处理 · 电气工程与系统科学 2021-10-07 Alexandra Samsonova , Barry J. Devereux , Georgios Karakonstantis , Lev Mukhanov

Brain-computer interfaces (BCIs) make possible to interact with the external environment by decoding the mental intention of individuals. BCIs can therefore be used to address basic neuroscience questions but also to unlock a variety of…

Brain-computer interfaces (BCIs) have shown promise in enabling communication for individuals with motor impairments. Recent advancements like brain-to-speech technology aim to reconstruct speech from neural activity. However, decoding…

人工智能 · 计算机科学 2024-12-02 Seo-Hyun Lee , Ji-Ha Park , Deok-Seon Kim

Brain Computer Interface (BCI) can help patients of neuromuscular diseases restore parts of the movement and communication abilities that they have lost. Most of BCIs rely on mapping brain activities to device instructions, but limited…

人机交互 · 计算机科学 2017-05-23 Kang Wang , Xueqian Wang , Gang Li

Brain-computer interfaces (BCIs) provide alternative communication methods for individuals with motor disabilities by allowing control and interaction with external devices. Non-invasive BCIs, especially those using electroencephalography…

机器学习 · 计算机科学 2025-02-27 Aline Xavier Fidêncio , Felix Grün , Christian Klaes , Ioannis Iossifidis

Brain-computer interfaces (BCIs) are moving rapidly from laboratory research into clinical, edge, and real-world settings. Under ISO/IEC 8663:2025, a BCI is a direct communication link between central nervous system activity and external…

人工智能 · 计算机科学 2026-05-13 Lei Sun , Xiuqing Mao , Shuai Zhang , Qingyu Zeng , Min Zhao , Jiyuan Li , Wenle Dong

A brain-computer interface (BCI) enables direct communication between the human brain and external devices. Electroencephalography (EEG) based BCIs are currently the most popular for able-bodied users. To increase user-friendliness, usually…

人机交互 · 计算机科学 2024-12-05 Ziwei Wang , Siyang Li , Jingwei Luo , Jiajing Liu , Dongrui Wu

Brain-computer interfaces (BCIs), particularly the P300 BCI, facilitate direct communication between the brain and computers. The fundamental statistical problem in P300 BCIs lies in classifying target and non-target stimuli based on…

应用统计 · 统计学 2024-02-16 Bangyao Zhao , Jane E. Huggins , Jian Kang
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