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使用自动分析技术对早期婴儿肺部声音特征的研究

Characteristics of lung sounds in early infants using automated analysis.

作者信息

Murayama Yoshifumi, Mochizuki Hiroyuki, Yano Hidetoshi, Ochiai Shigeki, Enseki Mayumi, Koike Takashi, Furuya Hiroyuki, Yamada Yoshiyuki, Uchiyama Atsushi

机构信息

Department of Paediatrics, Tokai University School of Medicine, Shimokasuya 143, Isehara, Kanagawa, 259 - 1193, Japan.

Department of Basic Clinical Science and Public Health, Tokai University School of Medicine, Isehara, Japan.

出版信息

Eur J Pediatr. 2025 May 13;184(6):337. doi: 10.1007/s00431-025-06110-y.

Abstract

UNLABELLED

A new lung sound analysis software program has been developed. It can automatically select a typical lung sound spectrogram and calculate lung sound parameters using machine learning programs. This study aimed to clarify lung sound characteristics in early infants using this program. Using the program, the characteristics of lung sounds in healthy 1- and 4-month-old infants were examined. The lung sounds were assessed in the supine position for 1-month-old infants and in both the sitting and supine positions for 4-month-old infants. We compared the characteristics of the infant lung sounds with those of healthy 3-year-old children. The lung sound parameters of the 1-month-old infants (n = 58) were affected by gender, height, and birth weight. However, those of the 4-month-old infants (n = 50) obtained in the sitting or supine position were not affected by these factors in the study. The lung sound parameters obtained in the sitting and supine positions were not significantly different, and they were not related to a history of wheezing or allergy. PAP was higher for the 1-month-old infants than for the 4-month-old infants, and RPF and RPF were also higher for the 1-month-old infants than for the 4-month-old infants. The PAP, FAP, RPF, RPF, A, and B of the 4-month-old infants were significantly higher than those of the 3-year-old children (n = 80).

CONCLUSION

The new program confirmed the specificity of lung sound parameters in early infants. Further studies are needed to clarify why the specificity differs from that of 3-year-old children.

WHAT IS KNOWN

• Lung sound analysis has been evaluated to some extent as safe and straightforward for estimating lung function in toddlers and older humans. However, it has not been applied to early infants.

WHAT IS NEW

• A lung sound analysis method using new analysis software has clarified the characteristics of lung spectra in early infants. This technique may facilitate the early diagnosis and treatment of respiratory diseases in infants.

摘要

未标注

已开发出一种新的肺音分析软件程序。它可以使用机器学习程序自动选择典型的肺音频谱图并计算肺音参数。本研究旨在使用该程序阐明早期婴儿的肺音特征。使用该程序,对健康的1个月和4个月大婴儿的肺音特征进行了检查。对1个月大的婴儿在仰卧位进行肺音评估,对4个月大的婴儿在坐位和仰卧位进行评估。我们将婴儿肺音的特征与健康3岁儿童的特征进行了比较。1个月大婴儿(n = 58)的肺音参数受性别、身高和出生体重的影响。然而,在本研究中,4个月大婴儿(n = 50)在坐位或仰卧位获得的肺音参数不受这些因素的影响。在坐位和仰卧位获得的肺音参数没有显著差异,并且它们与喘息或过敏史无关。1个月大婴儿的PAP高于4个月大婴儿,1个月大婴儿的RPF和RPF也高于4个月大婴儿。4个月大婴儿的PAP、FAP、RPF、RPF、A和B显著高于3岁儿童(n = 80)。

结论

新程序证实了早期婴儿肺音参数的特异性。需要进一步研究以阐明为何特异性与3岁儿童不同。

已知信息

• 在一定程度上,肺音分析已被评估为在评估幼儿和年长人类的肺功能方面安全且直接。然而,它尚未应用于早期婴儿。

新内容

• 使用新分析软件的肺音分析方法阐明了早期婴儿肺谱的特征。该技术可能有助于婴儿呼吸系统疾病的早期诊断和治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8011/12075377/2edefd4c9b6d/431_2025_6110_Fig1_HTML.jpg

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