SD-Meta: The Software-Defined Network of Human-Centric Metaverse for Multi-Lead or Multi-Media Data in Spread Spectrum Communications DOI Open Access
YePing Zhou, Mingyang Li, Tong Jingze

et al.

ACM Transactions on Multimedia Computing Communications and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 12, 2024

In this paper, the novel adjacent two-end link or network multi-end concept of software-defined is presented to support data transmission electroencephalogram, audio and video streaming in spread spectrum communications. Instead solving problem prioritization scheme networking calculation communication, southbound-northbound structure existing neural information found control perceptual interactions. The proposed framework multi-lead multi-media structures allow human-centric Metaverse execute different operations for local global planning schemes with high-speed lead media streaming, depending on kind brain-computer interaction, similar system multi-modal perception routing switching. Firstly, research designed filed programmable gate array conventional nodes computation networks. Secondly, study demonstrates its enhanced applicability software core multiple routers computing power Internet brains smart terminals. Experiment results also show benefits model structure, exposing running indicators simulation.

Language: Английский

Comprehensive evaluation methods for translating BCI into practical applications: usability, user satisfaction and usage of online BCI systems DOI Creative Commons

He Pan,

Peng Ding, Fan Wang

et al.

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: June 5, 2024

Although brain-computer interface (BCI) is considered a revolutionary advancement in human-computer interaction and has achieved significant progress, considerable gap remains between the current technological capabilities their practical applications. To promote translation of BCI into applications, gold standard for online evaluation classification algorithms been proposed some studies. However, few studies have more comprehensive method entire system, it not yet received sufficient attention from research development community. Therefore, qualitative leap analyzing modeling offline data to construction systems optimizing performance elaborated, then user-centred emphasized, methods translating applications are detailed reviewed article, including usability (including effectiveness efficiency systems), user satisfaction BCI-related aspects, etc.), usage match system user, etc.) systems. Finally, challenges faced systems, efficacy integration artificial intelligence (AI) and/or virtual reality (VR) other technologies enhance experience discussed. It expected that elaborated this review will

Language: Английский

Citations

6
Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces DOI Creative Commons
Yanxiao Chen, Fan Wang, Tianwen Li

et al.

Frontiers in Human Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: March 27, 2024

Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in scenarios. Extensive research been conducted on the principles and implementation methods of BCI, efforts are currently being made to bridge gap from real-world applications. However, there inaccurate erroneous conceptions about BCI among some members public, certain media outlets, as well researchers, developers, manufacturers, regulators, propagate misleading overhyped claims technology. Therefore, this article summarizes several misconceptions propaganda including capable “mind-controlled,” “controlling brain,” “mind reading,” ability “download” “upload” information brain using others. Finally, limitations (shortcomings) limits (boundaries) necessity conducting aimed at countering systems discussed, suggestions offered reduce BCI.

Language: Английский

Citations

4
Recent progress of soft and bioactive materials in flexible bioelectronics DOI Creative Commons
Xiaojun Wu,

Yuanming Ye,

Mubai Sun

et al.

Cyborg and Bionic Systems, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 1, 2025

Materials that establish functional, stable interfaces to targeted tissues for long-term monitoring/stimulation equipped with diagnostic/therapeutic capabilities represent breakthroughs in biomedical research and clinical medicine. A fundamental challenge is the mechanical chemical mismatch between implants ultimately results device failure corrosion by biofluids associated foreign body response. Of particular interest development of bioactive materials at level chemistry mechanics high-performance, minimally invasive function, simultaneously tissue-like compliance vivo biocompatibility. This review summarizes most recent progress these purposes, an emphasis on material properties such as response, integration schemes biological tissues, their use bioelectronic platforms. The article begins overview emerging classes platforms bio-integration proven utility live animal models, high performance different form factors. Subsequent sections various flexible, soft materials, ranging from self-healing hydrogel/elastomer bio-adhesive composites materials. Additional discussions highlight examples active systems support electrophysiological mapping, stimulation, drug delivery treatments related diseases, spatiotemporal resolutions span cellular organ-scale dimension. Envisioned applications involve advanced brain, cardiac, other organ systems, offer stability human subjects models. Results will inspire continuing advancements functions benign thus yielding therapy diagnostics healthcare.

Language: Английский

Citations

0
Neural electrodes for brain‐computer interface system: From rigid to soft DOI Creative Commons
Dan Yang, Gongwei Tian, Jianhui Chen

et al.

BMEMat, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

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

Language: Английский

Citations

0
A novelty towards neural signatures − Unveiling the inter-subject distance metric for EEG-based motor imagery DOI
Hajra Murtaza, Musharif Ahmed, Ghulam Murtaza

et al.

Biomedical Signal Processing and Control, Journal Year: 2025, Volume and Issue: 105, P. 107552 - 107552

Published: Feb. 6, 2025

Language: Английский

Citations

0
Advances in Brain-Computer Interface Controlled Functional Electrical Stimulation for Upper Limb Recovery After Stroke DOI Creative Commons
Yidan Zhang,

Yuling Gao,

Ziqi Zhou

et al.

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: 226, P. 111354 - 111354

Published: April 23, 2025

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

Language: Английский

Citations

0
Considerations and discussions on the clear definition and definite scope of brain-computer interfaces DOI Creative Commons
Yanxiao Chen, Fan Wang, Tianwen Li

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Aug. 5, 2024

Brain-computer interface (BCI) is a revolutionizing human-computer interaction with potential applications in both medical and non-medical fields, emerging as cutting-edge trending research direction. Increasing numbers of groups are engaging BCI development. However, recent years, there has been some confusion regarding BCI, including misleading hyped propaganda about even non-BCI technologies being labeled BCI. Therefore, clear definition definite scope for thoroughly considered discussed the paper, based on existing definitions six key or essential components In review, different from previous paradigms neural coding explicitly included provided, user (the brain) clearly identified component system. Different people may have viewpoints well related issues, which article. This review argues that will benefit future commercial applications. It hoped this reduce surrounding promote sustainable development field.

Language: Английский

Citations

3
EEG-Based Methods for Diagnosing Color Vision Deficiency: A Comprehensive Review DOI Creative Commons
Ghada Naje AlEssa, Saleh I. Alzahrani

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7579 - 7579

Published: Aug. 27, 2024

Color vision deficiency (CVD) is one of the most common disorders related to visual impairment. Individuals with this condition are unable differentiate between colors due absence or impairment more color photoreceptors in their retinas. This disorder can be diagnosed through multiple approaches. review paper provides a comprehensive summary studies on applying Brain–Computer Interface (BCI) technology for diagnosing CVD. The main purpose help researchers understand how BCI further developed and utilized CVD future.

Language: Английский

Citations

2
A Method for the Spatial Interpolation of EEG Signals Based on the Bidirectional Long Short-Term Memory Network DOI Creative Commons
Wen-Long Hu, Bowen Ji,

Kunpeng Gao

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5215 - 5215

Published: Aug. 12, 2024

The precision of electroencephalograms (EEGs) significantly impacts the performance brain–computer interfaces (BCI). Currently, majority research into BCI technology gives priority to lightweight design and a reduced electrode count make it more suitable for application in wearable environments. This paper introduces deep learning-based time series bidirectional (BiLSTM) network that is designed capture inherent characteristics EEG channels obtained from neighboring electrodes. It aims predict data facilitate conversion process low-density signals high-density signals. BiLSTM pays attention dependencies rather than mathematical maps, root mean square error can be effectively restricted below 0.4μV, which less half traditional methods. After expanding Competition III 3a dataset 18 60 channels, we conducted classification experiments on four types motor imagery tasks. Compared original (18 channels), accuracy was around 82%, an increase about 20%. When juxtaposed with real signals, increment rate remained 5%. expansion showed substantial notable improvement compared

Language: Английский

Citations

0
Risks of Artificial Intelligence (AI) in Medicine DOI Creative Commons
Nikolaos M. Siafakas, Eirini Vasarmidi

Pneumon, Journal Year: 2024, Volume and Issue: 37(3), P. 1 - 5

Published: Sept. 6, 2024

Language: Английский

Citations

0