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验证自动化5毫升薄液吞声音细分,以估计来自音频的喉清除时间
Dushyantha Jayatilake1, Yohei Teramoto2, Tomoyuki Ueno2
1PLIMES Inc., Tsukuba, Japan. dush@ieee.org.
Scientific reports
|March 3, 2026
概括
自动细分的音频事件可靠地检测喉吞活动. 这种非侵入性方法与视频光镜吞研究 (VFSS) 保持一致,用于在床边评估吞效率.
科学领域:
- 生物医学工程 生物医学工程
- 临床诊断 临床诊断 临床诊断
- 语音语言病理学 语言病理学
背景情况:
- 缺食症的检测通常依赖于侵入性或复杂的成像技术.
- 有效的临床查需要客观的,非侵入性的方法来评估喉吞.
研究的目的:
- 评估自动分段音频事件的可靠性,以检测喉吞.
- 为了将音频衍生时间与视频光镜吞研究 (VFSS) 的生理标记进行比较.
主要方法:
- 在VFSS期间,从45名消化不良患者中记录了吞声音,他们使用子戴式电子耳语镜.
- 一个算法细分了音频事件,与VFSS注释事件 (P-Start,E-Start,E-End) 相比时间.
- 喉清除时间 (PCT) 计算并比较音频和VFSS数据.
主要成果:
- 音频细分算法检测到84个吞中的80个.
- 音频开始和偏移时间显示一致,尽管延迟,与VFSS事件保持一致.
- 平均音频衍生PCT (706.5毫秒) 与基于VFSS的喉持续时间 (790.0毫秒) 非常接近.
结论:
- 基于音频的细分可靠地捕捉了吞的喉阶段.
- 这种方法提供了与VFSS可比的准确持续时间估计.
- 支持使用音频分析进行吞效率的非侵入性床边查.
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