arXiv:2605.28687cs.SDphysics.med-ph2026-05

用胸贴加速度计捕捉婴儿哭声,可有效替代麦克风录音。

Cross-modal characterization of infant cry: validation of a chest-surface accelerometer in extracting acoustic vocal function measures

论文配图:Cross-modal characterization of infant cry: validation of a chest-surface accelerometer in extracting acoustic vocal function measures
图 1 · 摘自论文原文
  • 用胸贴加速度计采集哭声振动,与麦克风同步对比分析
  • 基频和抖动度一致性超0.94,其他指标中等至偏低
  • 适合嘈杂环境或隐私敏感场景下的发育研究

背景:婴儿哭声声学特征可作为早期神经发育的窗口,有望成为神经发育障碍的可扩展生物标志物。但传统麦克风录音易受环境噪声干扰,且在真实临床环境中存在隐私问题。胸贴加速度计可通过直接捕捉喉部振动提供稳健替代方案。方法:我们通过比较在常规疫苗接种期间同步采集的加速度计(ACC)与麦克风(MIC)信号,评估了胸贴加速度计在婴儿哭声分析中的有效性。最终样本包含85名婴儿(41名4月龄,44名12月龄),来自多样化儿科人群。从两种模态中提取7项声学指标,包括基频(F0)、抖动(jitter)、沙哑度(shimmer)、倒谱峰突出度(CPP)和谐噪比(HNR)。使用组内相关系数(ICC)评估模态间的一致性与一致性。结果:F0在ACC与MIC间表现出优异一致性(ICC > 0.94)。抖动度也显示良好至优异一致性;而CPP表现中等一致。沙哑度与谐噪比一致性较低,且存在系统偏差,反映信号传导与噪声敏感性差异。结论:胸贴加速度计可可靠捕获婴儿哭声中多个临床相关的声学特征,尤其在时间性测量如基频与抖动度方面表现优异。该方法具有抗噪声、保护隐私的优势,支持其在大规模临床与发育研究中的应用潜力。

原文摘要 · Abstract (English)

Background: Infant cry acoustics provide a promising window into early neurodevelopment and may serve as scalable biomarkers for neurodevelopmental disorders. However, conventional microphone-based recordings are highly susceptible to environmental noise and raise privacy concerns in real-world clinical settings. Chest-surface accelerometers may offer a robust alternative by capturing vibrations directly from the larynx. Methods: We evaluated the validity of a chest-mounted accelerometer (ACC) for infant cry analysis by comparing acoustic features derived from ACC and simultaneously recorded microphone (MIC) signals during routine vaccination visits. The final sample included 85 infants (41 at 4 months; 44 at 12 months) from a diverse pediatric population. Seven vocal measures were extracted from both modalities, including fundamental frequency (F0), jitter, shimmer, cepstral peak prominence (CPP), and harmonics-to-noise ratio (HNR). Agreement and consistency between modalities was assessed using intraclass correlation coefficients (ICCs). Results: F0 demonstrated excellent agreement between ACC and MIC recordings (ICC > 0.94). Jitter measures also showed good-to-excellent agreement, while CPP demonstrated moderate agreement. Shimmer and HNR showed lower absolute agreement and systematic bias between modalities, reflecting possible differences in signal transmission and noise sensitivity. Conclusion: In summary, chest-surface accelerometers can reliably capture several clinically relevant acoustic features of infant cry, particularly temporal measures of F0 and jitter. This approach offers a noise-robust and privacy-preserving alternative to microphone-based recordings, supporting its potential use in scalable clinical and developmental research applications.

婴儿哭声加速度计神经发育多模态

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