婴儿哭声自动时间标签分割方法的构建与验证。

IF 2 3区 医学 Q2 PEDIATRICS
Qiongfang Cao, Min Huang, Xiuju Zhu, Yuling Duan, Qicheng Shu, Xi Huang, Xun Guo, Fangfagn Liu, Ziyu Hua, Fan Xu
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引用次数: 0

摘要

婴儿哭声是婴儿生理和心理状态的重要指标,在区分早期发育的正常和病理状态方面具有重要的临床价值。然而,大多数关于婴儿哭声的研究在哭声分析过程中都没有对吸气和呼气进行分割,因为分割仍然是一个很大的挑战。因此,我们开发了一种音频数据分析工具,能够准确地分割婴儿哭声中的吸入和呼出阶段,然后提取每个片段的持续时间、频率和强度参数。在这里,收集和分析了226个婴儿哭声的声音片段。结果显示早产儿和足月儿在声音参数上存在显著差异。整个过程可以实现婴儿哭声的自动识别和数字化收集,并为评估哭声背后的意义提供了客观的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Construction and validation of an automated time label segmentation method for infant cries.

Construction and validation of an automated time label segmentation method for infant cries.

Construction and validation of an automated time label segmentation method for infant cries.

Construction and validation of an automated time label segmentation method for infant cries.

Infant cries serve as critical indicators of an infant's physiological and psychological states, holding essential clinical value in distinguishing between normal and pathological conditions during early development. However, most studies on infant cries failed to segment between inhalation and exhalation during the crying analysis because segmentation remains great challenge. Therefore, we developed an audio data analysis tool capable of accurately segmenting inhalation and exhalation phases in infant cries, followed by extraction of the duration, frequency, and intensity parameters of each segment. Here, 226 sound clips of infants' cries were collected and analyzed. The results revealed the significant differences in sound parameters between premature and term infants. The whole process allows automatic identification and digital collection of infant cries, and it provides an objective method to evaluate the significance behind the cries.

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来源期刊
BMC Pediatrics
BMC Pediatrics PEDIATRICS-
CiteScore
3.70
自引率
4.20%
发文量
683
审稿时长
3-8 weeks
期刊介绍: BMC Pediatrics is an open access journal publishing peer-reviewed research articles in all aspects of health care in neonates, children and adolescents, as well as related molecular genetics, pathophysiology, and epidemiology.
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