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Considering preferences, speed and the animation of multiple symbols in developing P300 brain-computer interface for children

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DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY 2025年第1期20卷 171-183页

作者： Pitt, Kevin M. Spoor, Austin Zosky, Joshua Univ Nebraska Dept Special Educ & Commun Disorders Lincoln NE 68588 USA Univ Nebraska Dept Psychol Lincoln NE USA

PurposePrior research has begun establishing the efficacy of animation in brain-computer interfaces access to augmentative and alternative communication (BCI-AAC). However, the use of animation in P300-BCI-AAC for children is in the early stages and largely limited to single item highlighting of extended durations. In pursuit of practical application, the present study aims to evaluate children's event-related potential (ERP) characteristics and user experience during a task involving an animated P300-BCI-AAC *** and methodsThe system utilizes multi-item zoom animations to access a 28-pictorial symbols. Participants completed a fast (100 ms) and slow (200 ms) zoom animation highlighting conditions wherein four pictorial symbols were highlighted *** proposed display appears feasible, eliciting all targeted ERPs. However, ERP amplitudes may be reduced in comparison to single-item animation highlighting, possibly due to distraction. Ratings of mental effort were significantly higher for the 100 ms condition, though differences in the frontal P200/P300 ERP did not achieve significance. Most participants identified a preference for the 100 ms condition, though age may impact ***, findings support the preliminary feasibility of a proposed 28-item interface that utilises group zoom animation highlighting of pictorial symbols. Further research is needed evaluating ERP characteristics and outcomes from online (real-time) use of animation-based P300-BCI-AAC for children with severe speech and physical impairments across multiple training sessions. The proposed display employing multi-item zoom animations seems feasible. However, preliminary evidence suggests that event-related potential amplitudes may be reduced compared to single-item animation *** scale ratings of mental effort were significantly higher for the 100 ms *** participants identified a preference for the 100 ms condition, altho

关键词： brain-computer interface BCI AAC children motion animation augmentative and alternative communication

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Gaming on the brain: Considerations for Designing brain-computer interface Driven Gameplay 10th

Gaming on the Brain: Considerations for Designing Brain-Comp...

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10th Joint International Conference on Serious Games

作者： King, David Marsh, Tim Pizzolato, Claudio Griffith Univ Brisbane Qld Australia

ISBN: (纸本)9783031741371;9783031741388

One of the primary goals of Human-computer Interaction (HCI) in game design has been the close coupling of players with the digital game system and an increasingly popular approach towards this is brain-computer Interaction (BCI). Recent improvements made to electroencephalogram-based (EEG) BCI technology have made it more widely available to researchers, more accessible to target end-users, and more viable for gameplay. However, the research has been limited to one side of serious games-the experiential and simulated environments-there has been little research into gameplay mechanics driven serious games. In this paper, we explore potential avenues for BCI-driven game and serious games gameplay design and development, as well as examining potential issues, conflicts and shortcomings that might arise from utilising BCI. This work informs our ongoing research and development of serious games utilising BCI-driven gameplay and can generalise to the development of other BCI-based games and serious games.

关键词： brain-computer interface experience design design strategies game design gameplay mechanics serious games virtual reality purpose

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Creating ionic current pathways: A non-implantation approach to achieving cortical electrical signals for brain-computer interface

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BIOSENSORS & BIOELECTRONICS 2025年 268卷 116882页

作者： Sun, Yike Gao, Yaxuan Shen, Anruo Sun, Jingnan Chen, Xiaogang Gao, Xiaorong Tsinghua Univ Sch Biomed Engn Beijing 100084 Peoples R China Chinese Acad Med Sci & Peking Union Med Coll Inst Biomed Engn Tianjin 300192 Peoples R China

This study introduces a novel method for acquiring brain electrical signals comparable to intracranial recordings without the health risks associated with implanted electrodes. We developed a technique using ultrasonic tools to create micro-holes in the skull and insert hollow implants, preventing natural healing. This approach establishes an artificial ionic current path (AICP) using tissue fluid, facilitating signal transmission from the cortex to the scalp surface. Experiments were conducted on pigs to validate the method's effectiveness. We synchronized our recordings with perforated electrocorticography (ECoG) for comparison. The AICP method yielded signal quality comparable to implanted ECoG in the low-frequency range, with a significant improvement in signal-to-noise ratio for evoked potentials. Our results demonstrate that this non-invasive technique can acquire high-quality brain signals, offering potential applications in neurophysiology, clinical research, and brain-computer interfaces. This innovative approach of utilizing tissue fluid as a natural conduction path opens new avenues for brain signal acquisition and analysis.

关键词： brain-computer interface Electrocorticography Artificial ionic current path Non-invasive brain recording Evoked potentials Neurophysiology

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Neural electrodes for brain-computer interface system: From rigid to soft

BMEMAT

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BMEMAT 2025年

作者： Yang, Dan Tian, Gongwei Chen, Jianhui Liu, Yan Fatima, Esha Qiu, Jichuan Malek, Nik Ahmad Nizam Nik Qi, Dianpeng Harbin Inst Technol Sch Chem & Chem Engn MIIT Key Lab Crit Mat Technol New Energy Convers & Natl & Local Joint Engn Lab Synth Transformat & Se Harbin Peoples R China Harbin Inst Technol Minist Ind & Informat Technol Key Lab Sci & Engn Multimodal Prevent & Control Ma Zhengzhou Res Inst Zhengzhou Peoples R China Govt Coll Women Univ Faisalabad Dept Chem Faisalabad Pakistan Shandong Univ State Key Lab Crystal Mat Jinan Peoples R China Univ Teknol Malaysia Ibnu Sina Inst Sci & Ind Res Ctr Sustainable Nanomat Johor Baharu Malaysia

brain-computer interface (BCI) is an advanced technology that establishes a direct connection between the brain and external devices, enabling high-speed and real-time information exchange. In BCI systems, electrodes are key interface devices responsible for transmitting signals between the brain and external devices, including recording electrophysiological signals and electrically stimulating nerves. Early BCI electrodes were mainly composed of rigid materials. The mismatch in Young's modulus between rigid electrodes and soft biological tissue can lead to rejection reactions within the biological system, resulting in electrode failure. Furthermore, rigid electrodes are prone to damaging biological tissues during implantation and use. Recently, flexible electrodes have garnered attention in the field of brain science research due to their better adaptability to the softness and curvature of the brain. The design of flexible electrodes can effectively reduce mechanical damage to neural tissue and improve the accuracy and stability of signal transmission, providing new tools and methods for exploring brain function mechanisms and developing novel neural interface technologies. Here, we review the research advancements in neural electrodes for BCI systems. This paper emphasizes the importance of neural electrodes in BCI systems, discusses the limitations of traditional rigid neural electrodes, and introduces various types of flexible neural electrodes in detail. In addition, we also explore practical application scenarios and future development trends of BCI electrode technology, aiming to offer valuable insights for enhancing the performance and user experience of BCI systems.

关键词： brain-computer interface electrophysiological signal flexible electronics medical rehabilitation neural electrodes

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Identifying P300 brain-computer interface training strategies for AAC in children: a focus group study

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AUGMENTATIVE AND ALTERNATIVE COMMUNICATION 2025年

作者： Pitt, Kevin M. Boster, Jamie B. Univ Nebraska Lincoln Dept Special Educ & Commun Disorders Lincoln NE 68588 USA Nationwide Childrens Hosp Speech Pathol Dept Columbus OH USA

The integration of brain-computer interface (BCI) technology into Augmentative and Alternative Communication (AAC) systems introduces new complexities in training, particularly for children with diverse cognitive, sensory, motor, and linguistic abilities. Effective AAC training is crucial for enabling individuals to achieve personal goals and enhance social participation. This study aimed to explore potential training strategies for children using P300 based BCI-AAC systems through focus group discussions with experts in AAC and BCI technologies. Participants identified six key themes for effective training: (1) Scaffolding-developing adaptive systems tailored to each child's developmental level, including preteaching, visual display adaptations, and gamification;(2) Verbal Instructions-emphasizing the use of clear, simple language and spoken prompts;(3) Feedback-incorporating immediate feedback and biofeedback methods to reinforce learning;(4) Positioning-ensuring proper trunk stability and addressing electrode placement;(5) Modeling and Physical Supports-using physical cues and demonstrating BCI-AAC use;and (6) Considerations for Visual Impairment-accommodating cortical visual impairment (CVI) with suitable stimuli and environmental adjustments. These insights offer an initial foundation for identifying P300 BCI-AAC training strategies for children. Further systematic research with end users, support networks, and professionals is needed to validate, refine, and expand interventions that support diverse communication needs.

关键词： brain-computer interface augmentative and alternative communication children modeling training P300

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A Domain-Adapted brain-computer interface for Implicit Emotion Tagging of Multimedia Content 19th

A Domain-Adapted Brain-Computer Interface for Implicit Emot...

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19th CCF Conference on computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024

作者： Cui, Yanmeng Liang, Wenbin Yang, Yikun Hou, Kechen Shi, Yuhan Zhao, Qiqi Zhang, Xiaowei Lanzhou University Lanzhou730000 China

ISBN: (纸本)9789819623723

Tagging multimedia content in terms of emotions can improve the efficiency of user recommendations. Using a brain-computer interface of emotion based on Electroencephalogram (EEG) is a reliable method to annotate the emotions evoked by content. However, the subject-independent models’ generalization and re-usability often degrade due to individual differences in EEG data. Hence, in this paper, we proposed a novel unsupervised domain adaptation method incorporating a variant of MMD (Maximum Mean Discrepancy) called Categorical MMD (CMMD) with a curriculum pseudo-labeling module to tackle the above mentioned issue. Unlike the original MMD, CMMD considers the relationship between data belonging to the same category from the source and target domain so that CMMD can align the distribution more than fine-grained. Besides, to mitigate the influence of false pseudo labels on CMMD and final classification, we proposed a curriculum pseudo labeling module that leverages reliable pseudo-target samples and labeled source samples to train the classifier. The experiment was conducted on the SEED dataset to verify our method. The experimental results showed that the proposed method achieves significant performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： brain-computer interface Domain Adaptation Electroencephalogram Emotion Tagging

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Advances in brain-computer interface controlled functional electrical stimulation for upper limb recovery after stroke

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brain Research Bulletin 2025年 226卷 111354-111354页

作者： Zhang, Yidan Gao, Yuling Zhou, Jiaqi Zhang, Zhenni Feng, Min Liu, Yong Department of Rehabilitation Medicine the First Affiliated Hospital of Dalian Medical University College of Health-Preservation and Wellness Dalian Medical University China Department of Respiratory and Critical Care Medicine the First Affiliated Hospital of Dalian Medical University China

Stroke often results in varying degrees of functional impairment, significantly affecting patients' quality of daily life. In recent years, brain-computer interface-controlled functional electrical stimulation has offered new therapeutic approaches for post-stroke rehabilitation. This paper reviews the application of BCI-FES in the recovery of upper limb function after stroke and explores its underlying mechanisms. By analyzing relevant studies, the aim is to provide a theoretical basis for rehabilitating upper limb function post-stroke, promote BCI-FES, and offer guidance for future clinical practice. © 2025 The Authors

关键词： brain-computer interface Functional electrical stimulation Stroke Upper limb function

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brain-computer interface for augmentative and alternative communication access: The initial training needs and learning preferences of speech-language pathologists

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Journal of the Australian College of Speech Therapists 2025年第1期27卷

作者： Kevin M. Pitt Miechelle McKelvey Kristy Weissling Amber Thiessen 1 Department of Special Education and Communication Disorders University of Nebraska–Lincoln Lincoln NE USA 2 Department of Communication Disorders University of Nebraska Kearney Kearney NE USA 3 Department of Communication Sciences and Disorders University of Houston Houston TX USA

PurposeTo enable the codesign of a training framework for brain-computer interfaces for augmentative and alternative communications access (BCI-AAC), the aim of this study is to evaluate the initial BCI-AAC training needs and preferred learning strategies of speech-language pathologists (SLPs) with AAC *** SLPs employed across a broad range of settings completed a semi-structured interview. A grounded theory approach alongside peer debriefing and review, member checking, and triangulation procedures were utilised for thematic analysis to help ensure data reliability and *** critical training needs, SLPs identified the subthemes of (a) personalisation of intervention, (b) technical aspects, (c) BCI-AAC system types and access, and (d) how to support stakeholders in BCI-AAC implementation. Regarding learning strategy preferences, participants discussed (a) expert guidance and demonstrations, (b) hands-on experience, alongside (c) media and *** present a continuum of critical training needs ranging from more foundational information to more personalised assessment and intervention consideration. These thematic results present a first step in developing a basic framework for SLP training in BCI-AAC to utilise and build from as technology development continues, and provides an important initial starting point for the codesign of clinically focused BCI-AAC trainings.

关键词： brain-computer interface augmentative and alternative communication training BCI AAC implementation

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Design and Development of Wearable Knee Rehabilitation System Based on Motor Imagery brain computer interface 5th

Design and Development of Wearable Knee Rehabilitation Syste...

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5th International Conference on Neural Computing for Advanced Applications (NCAA)

作者： Deng, Ruirui Zheng, Xu Wang, Yanping Wang, Kaifa Gao, Nuo Shandong Jianzhu Univ Sch Informat & Elect Engn Jinan 250101 Peoples R China

ISBN: (纸本)9789819770007;9789819770014

In view of the existing problems in rehabilitation training in China and the great potential of rehabilitation training robots based on Motor Imagery brain computer interface, this paper designs and develops a wearable knee rehabilitation training system based on Motor Imagery brain computer interface from the perspective of portability and low cost. The proposed knee rehabilitation training system can extract the patient's active rehabilitation intention through EEG signal, and complete the active and passive rehabilitation training of the knee joint through the knee exoskeleton, which can effectively overcome the problems of the traditional rehabilitation training system, such as high training cost, limited number of professional rehabilitation therapist, and low willingness of the patient's active training. A series of offline and online experiments verify the feasibility and effectiveness of the proposed rehabilitation system. The development and application of this system is expected to provide a rehabilitation system with autonomous control, active rehabilitation and convenient wearing for patients with knee joint dysfunction, and effectively alleviate the problems existing in the current motor function rehabilitation training.

关键词： Motor Imagery brain-computer interface Wearable knee rehabilitation system electroencephalogram Introduction

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brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users

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ARTIFICIAL INTELLIGENCE IN MEDICINE 2013年第2期59卷 111-120页

作者： Holz, Elisa Mira Hoehne, Johannes Staiger-Saelzer, Pit Tangermann, Michael Kuebler, Andrea Univ Wurzburg Inst Psychol D-97070 Wurzburg Germany Tech Univ TU Berlin Dept Machine Learning D-10587 Berlin Germany BUK D-55543 Bad Kreuznach Germany Univ Freiburg BrainLinks BrainTools Excellence Cluster Freiburg Germany

Objective: Connect-Four, a new sensorimotor rhythm (SMR) based brain-computer interface (BCI) gaming application, was evaluated by four severely motor restricted end-users;two were in the locked-in state and had unreliable eye-movement. Methods: Following the user-centred approach, usability of the BCI prototype was evaluated in terms of effectiveness (accuracy), efficiency (information transfer rate (ITR) and subjective workload) and users' satisfaction. Results: Online performance varied strongly across users and sessions (median accuracy (%) of end-users: A=.65;B=.60;C=.47;D=.77). Our results thus yielded low to 'Medium effectiveness in three end-users and high effectiveness in one end-user. Consequently, ITR was low (0.05-1.44 bits/min). Only two end-users were able to play the game in free-mode. Total workload was moderate but varied strongly across sessions. Main sources of workload were mental and temporal demand. Furthermore, frustration contributed to the subjective workload of two end-users. Nevertheless, most end-users accepted the BCI application well and rated satisfaction medium to high. Sources for dissatisfaction were (1) electrode gel and cap, (2) low effectiveness, (3) time-consuming adjustment and (4) not easy-to-use BCI equipment. All four end-users indicated ease of use as being one of the most important aspect of BCI. Conclusion: Effectiveness and efficiency are lower as compared to applications using the event-related potential as input channel. Nevertheless, the SMR-BCI application was satisfactorily accepted by the end-users and two of four could imagine using the BCI application in their daily life. Thus, despite moderate effectiveness and efficiency BCIs might be an option when controlling an application for entertainment. (C) 2013 Elsevier B.V. All rights reserved.

关键词： brain-computer interface Sensorimotor rhythm User-centred design Usability Evaluation Assistive technology

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