早期婴儿肺部声音的特征使用自动化分析
Yoshifumi Murayama1, Hiroyuki Mochizuki1, Hidetoshi Yano1
1Department of Paediatrics, Tokai University School of Medicine, Shimokasuya 143, Isehara, Kanagawa, 259 - 1193, Japan.
European journal of pediatrics
|May 13, 2025
概括
一个新的软件程序分析婴儿的肺部声音,揭示婴儿早期的独特特征. 这些发现突出了与老年儿童相比的差异,有助于早期诊断呼吸系统疾病.
科学领域:
- 儿科肺病学 儿科肺病学
- 生物医学工程 生物医学工程
- 婴儿健康 婴儿健康
背景情况:
- 肺部声音分析是为老年人建立的,但在早期婴儿中未得到充分利用.
- 新的软件可以自动选择光谱图和基于机器学习的肺声参数计算.
研究的目的:
- 使用新型分析软件,对健康的1个月和4个月大的婴儿进行肺声参数的表征.
- 为了比较婴儿的肺声特征与3岁儿童的肺声特征.
主要方法:
- 使用了一种新的肺声分析程序,用于谱图选择和参数计算.
- 评估1个月大的婴儿 (n=58) 躺卧姿势和4个月大的婴儿 (n=50) 坐着/躺卧姿势的肺部声音.
- 婴儿数据与健康的3岁儿童数据进行比较 (n=80).
主要成果:
- 一个月大的肺声音参数受性别,身高和出生体重的影响.
- 4个月大的参数不受这些因素或位置 (坐着或躺着) 的影响.
- 具体参数 (PAP0,FAP0,RPF50p,RPF75p,A3a/AT,B4a/AT) 在4个月大的婴儿中明显高于3岁的婴儿.
结论:
- 新软件证实了早期婴儿独特的肺声参数.
- 需要进一步的研究来了解婴儿和幼儿之间观察到的差异.
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