从EEG信号解码语音图像的脑计算机接口的进步:一个系统的审查.
Nimra Rahman1, Danish Mahmood Khan2,3, Komal Masroor1
1Department of Telecommunications Engineering, NED University of Engineering and Technology, Karachi, Sindh 75270 Pakistan.
Cognitive neurodynamics
|December 23, 2024
概括
使用脑电图 (EEG) 的脑电脑接口 (BCI) 解码有沟通障碍的个体的想象语音. 本综述综合了用于提升基于EEG的BCI技术用于语言障碍的方法.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 康复技术 康复技术 康复技术
背景情况:
- 有效的沟通至关重要,但许多人因残疾或疾病而面临挑战.
- 传统的沟通方式往往不适合那些严重语言障碍的人.
- 脑电图 (EEG) 提供了一个对大脑活动的非侵入性窗口,这对于开发辅助技术至关重要.
研究的目的:
- 审查基于EEG的大脑计算机接口 (BCI) 解码想象语音的最新研究.
- 合成方法来将EEG信号转化为文本或合成语音.
- 确定未来的研究方向,以便在语言障碍群体中实践地实施BCI.
主要方法:
- 关于基于EEG的BCI用于想象语音的重要研究的综合文献综述.
- 分析预处理技术,特征提取和分类算法 (深度学习,机器学习).
- 对EEG信号解释应用的认知神经发育见解的综合.
主要成果:
- 基于EEG的BCI在使言语障碍患者能够进行沟通方面显示出显著的希望.
- 集成先进的机器学习和深度学习技术提高了想象语音解码的准确性.
- 存在各种不同的信号处理和分类方法,适合特定的BCI应用.
结论:
- 基于EEG的BCI代表了通过想象语音恢复沟通的强大工具.
- 需要进一步的研究来完善方法和改进这些系统的实际,现实世界的应用.
- 认知神经发育的观点是推动语言恢复BCI技术的关键.
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