声道病理的医学诊断中的电造影:一个系统的审查
Julia Zofia Tomaszewska1, Apostolos Georgakis1
1School of Computing and Engineering, University of West London, London, UK.
Journal of voice : official journal of the Voice Foundation
|December 24, 2023
概括
电造影 (EGG) 显示出对诊断语音障碍的非侵入性诊断有希望. 应用于EGG生物阻抗信号的计算方法可以对声道病理进行分类,但需要改进信号理解.
科学领域:
- 生物医学工程 生物医学工程
- 语音科学 语言科学
- 医学诊断 医学诊断 医学诊断
背景情况:
- 电造影 (EGG) 在发声过程中测量声接触区域.
- 虽然 EGG 单独是主观的,但它显示出使用计算方法进行非侵入性语音障碍诊断的潜力.
- 数字语音质量评估和声道异常分类是关键应用.
研究的目的:
- 通过使用EGG生物阻抗信号,审查和评估现有的数字语音质量和声道异常分类系统.
- 总结EGG的研究,重点关注其诊断应用.
- 描述和比较基于EGG的数字语音病理学分类系统.
主要方法:
- 使用PRISMA模型进行系统的文献综述.
- 分析和详细比较13个选定的文章.
- 专注于用于EGG生物阻抗信号的计算方法.
主要成果:
- 从对比现有的基于EGG的分类系统中确定了关键结论.
- 突出了目前对EGG生物阻抗信号的理解的局限性.
- 建立了EGG信号分析领域进一步研究的基础.
结论:
- 当与计算分析相结合时,EGG作为诊断语音障碍的非侵入性工具具有显著的前景.
- 需要进一步的研究来澄清EGG生物阻抗信号的性质.
- 对于未来的工作,建议开发多种EGG数据集和先进的特征提取方法.
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