Brain-Computer Interfaces: Novel Technologies and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 942

Special Issue Editor


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Guest Editor
Schoolof Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China
Interests: brain–computer interface; deep learning; virtual reality/augmented reality technology; electric/magnetic nerve regulation technology

Special Issue Information

Dear Colleagues,

With advances in brain science and computer science, the brain-computer interface (BCI) has become a top research area in applied science. A BCI can provide humans with capabilities to communicate and control through brain activities instead of peripheral nerves and muscles. BCIs are a multidisciplinary emerging technology that integrates neuroscience, information science, computer science, and robot technology, etc. It can establish a direct connection between brain activity and external devices by decoding, so that humans have the ability to control external devices. In recent years, BCIs have been applied in many fields, especially in clinical and rehabilitation fields. In addition, its achievements in various aspects such as brain-controlled prosthetics, disease diagnosis, and motor rehabilitation are outstanding.

This Special Issue aims to provide an opportunity for researchers to contribute their most recent research and developments in the BCI field. Topics include but are not limited to the following:

  • The brain-computer interface;
  • Human-machine interaction;
  • Rehabilitation robotics;
  • Brain signal decoding;
  • Neuroregulation and the brain-computer interface.

Prof. Dr. Banghua Yang
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

18 pages, 2035 KiB  
Article
Comparing Several P300-Based Visuo-Auditory Brain-Computer Interfaces for a Completely Locked-in ALS Patient: A Longitudinal Case Study
by Rute Bettencourt, Miguel Castelo-Branco, Edna Gonçalves, Urbano J. Nunes and Gabriel Pires
Appl. Sci. 2024, 14(8), 3464; https://doi.org/10.3390/app14083464 - 19 Apr 2024
Viewed by 629
Abstract
In a completely locked-in state (CLIS), often resulting from traumatic brain injury or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS), patients lose voluntary muscle control, including eye movement, making communication impossible. Brain-computer interfaces (BCIs) offer hope for restoring communication, but achieving reliable communication [...] Read more.
In a completely locked-in state (CLIS), often resulting from traumatic brain injury or neurodegenerative diseases like amyotrophic lateral sclerosis (ALS), patients lose voluntary muscle control, including eye movement, making communication impossible. Brain-computer interfaces (BCIs) offer hope for restoring communication, but achieving reliable communication with these patients remains a challenge. This study details the design, testing, and comparison of nine visuo-auditory P300-based BCIs (combining different visual and auditory stimuli and different visual layouts) with a CLIS patient over ten months. The aim was to evaluate the impact of these stimuli in achieving effective communication. While some interfaces showed promising progress, achieving up to 90% online accuracy in one session, replicating this success in subsequent sessions proved challenging, with the average online accuracy across all sessions being 56.4 ± 15.2%. The intertrial variability in EEG signals and the low discrimination between target and non-target events were the main challenge. Moreover, the lack of communication with the patient made BCI design a challenging blind trial-and-error process. Despite the inconsistency of the results, it was possible to infer that the combination of visual and auditory stimuli had a positive impact, and that there was an improvement over time. Full article
(This article belongs to the Special Issue Brain-Computer Interfaces: Novel Technologies and Applications)
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