在各种语音障碍中可视化和分析声动态
B Panchami1, S Pravin Kumar1, Ketaki Vasant Phadke2
1Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Tamil Nadu, India.
概括
像音声振动图 (PVG) 和声振动图 (GVG) 这样的可视化技术在白血病,喉炎和乳头瘤等疾病中揭示了不同的声振动模式,有助于客观诊断.
科学领域:
- 喉科和声音科学 喉科和声音科学
- 生物医学工程 生物医学工程
- 诊断成像 诊断成像 诊断成像
背景情况:
- 声病理,如白血病,喉炎和乳头瘤显著改变了球动态.
- 客观的诊断方法对于区分这些疾病和指导治疗至关重要.
- 现有的可视化技术提供了洞察力,但可能无法完全捕捉复杂的振动模式.
研究的目的:
- 使用先进的可视化技术,比较声白血症,喉炎和乳头瘤的球动态.
- 假设语音振动图 (PVG) 和语音振动图 (GVG) 可以阐明振动动力学,用于客观诊断.
- 从这些技术中获得视觉特征,用于潜在的语音障碍的计算机辅助分类.
主要方法:
- 使用高速视频内镜对声障碍的比较分析.
- 音声振动图 (PVG),PVG的衍生 (PVG-1),数字化化图 (DKG) 和光振动图 (GVG) 的应用,以分析光动力学.
- 在不同音声阶段 (开放,关闭,关闭,打开) 的振动模式的可视化和分析.
主要成果:
- 在健康和病态状态 (白血病,喉炎,乳头瘤) 中记录了声振动模式的明显变化.
- 健康的声表现出常规的周期性振动,而病理显示出独特的特征,反映出结构和功能变化.
- 使用的可视化技术成功地发现了声振动中的结构不规则和功能偏差.
结论:
- 使用PVG和其他可视化技术进行比较分析,可以提高对语音障碍喉动态的理解.
- 像PVG和GVG这样的离线分析技术对于跟踪动态和评估随时间推移的治疗疗效非常有价值.
- 标准化基于PVG的诊断标准和开发分类工具是改善声病理的临床管理的关键.
相关概念视频
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