Review of Performance Improvement of a Noninvasive Brain-computer Interface in Communication and Motor Control for Clinical Applications.
Autor: | Saito Y, Kamagata K, Akashi T, Wada A, Shimoji K, Hori M, Kuwabara M, Kanai R, Aoki S |
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Jazyk: | angličtina |
Zdroj: | Juntendo Iji zasshi = Juntendo medical journal [Juntendo Iji Zasshi] 2023 Aug 25; Vol. 69 (4), pp. 319-326. Date of Electronic Publication: 2023 Aug 25 (Print Publication: 2023). |
DOI: | 10.14789/jmj.JMJ23-0011-R |
Abstrakt: | Brain-computer interfaces (BCI) enable direct communication between the brain and a computer or other external devices. They can extend a person's degree of freedom by either strengthening or substituting the human peripheral working capacity. Moreover, their potential clinical applications in medical fields include rehabilitation, affective computing, communication, and control. Over the last decade, noninvasive BCI systems such as electroencephalogram (EEG) have progressed from simple statistical models to deep learning models, with performance improvement over time and enhanced computational power. However, numerous challenges pertaining to the clinical use of BCI systems remain, e.g., the lack of sufficient data to learn more possible features for robust and reliable classification. However, compared with fields such as computer vision and speech recognition, the training samples in the medical BCI field are limited as they target patients who face difficulty generating EEG data compared with healthy control. Because deep learning models incorporate several parameters, they require considerably more data than other conventional methods. Thus, deep learning models have not been thoroughly leveraged in medical BCI. This study summarizes the state-of-the-art progress of the BCI system over the last decade, highlighting critical challenges and solutions. Competing Interests: RK is an employed at Araya Inc. (Tokyo, Japan). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (2023 ©The Juntendo Medical Society.) |
Databáze: | MEDLINE |
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