Frog vocal sacs-inspired soft acoustic system with continuously tunable resonance for sound emission and stethoscopic sensing

To overcome limitations of flexible thermoacoustic devices in low-frequency emission and sensing, we present a resonance-adjustable graphene sound device (RAGSD) inspired by frog vocal sacs. Integrating laser-induced graphene (LIG) with a deformable cavity, RAGSD provides continuous tuning from 922.12 to 1762.90 hertz. A dynamic, continuously tunable electro-mechano-acoustical model explains the mechanism and predicts frequency with [Formula: see text] . In emission, a 25.34-decibel sound pressure level gain was observed at resonance, enabling controllable, frequency-selective voice amplification for personalized output. In sensing, the LIG piezoresistive readout delivers sensitive transduction, while resonance matching amplifies weak, high-frequency cardiac sounds. Wearable tests on healthy volunteers and patients recorded clear S1/S2 and pathological murmurs. Integrated with AuscNet-H, a deep learning algorithm designed for heart sound classification, the system achieved 99.375% accuracy across four clinical classes. Under inflation, no false negatives occurred, and misclassifications among similar diseases were fewer than with a commercial electronic stethoscope. These results demonstrate a practical path toward intelligent, wearable auscultation.

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Publication Details

Journal
Science Advances
Published
2025-12-17
DOI
https://doi.org/10.1126/sciadv.adz5930
Primary Topic
Phonocardiography and Auscultation Techniques
Type
article
Field-Weighted Citation Impact
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article

Frog vocal sacs-inspired soft acoustic system with continuously tunable resonance for sound emission and stethoscopic sensing

Chuting Liu, Lvjie Chen, Tian‐Ling Ren, Jingzhi Wu et al.
Science Advances
Phonocardiography and Auscultation Techniques
article

Frog vocal sacs-inspired soft acoustic system with continuously tunable resonance for sound emission and stethoscopic sensing

Chuting Liu, Lvjie Chen, Tian‐Ling Ren, Jingzhi Wu, Binbin Yan, Jianping Jiang, Bo Li, Yancong Qiao, Chang Liu, Ranbo Yu, Xiaoli Qu, Qinghong Zhou, Jianhua Zhou, Kaiyuan Tan, Jiantao Wang, Yuanfang Li, Zhiyong Deng, Jiajun Pan, Jinan Luo, Rui Han, Jianfeng Ma, Dalun Rong, Peiyan Dong
article en

Abstract

To overcome limitations of flexible thermoacoustic devices in low-frequency emission and sensing, we present a resonance-adjustable graphene sound device (RAGSD) inspired by frog vocal sacs. Integrating laser-induced graphene (LIG) with a deformable cavity, RAGSD provides continuous tuning from 922.12 to 1762.90 hertz. A dynamic, continuously tunable electro-mechano-acoustical model explains the mechanism and predicts frequency with [Formula: see text] . In emission, a 25.34-decibel sound pressure level gain was observed at resonance, enabling controllable, frequency-selective voice amplification for personalized output. In sensing, the LIG piezoresistive readout delivers sensitive transduction, while resonance matching amplifies weak, high-frequency cardiac sounds. Wearable tests on healthy volunteers and patients recorded clear S1/S2 and pathological murmurs. Integrated with AuscNet-H, a deep learning algorithm designed for heart sound classification, the system achieved 99.375% accuracy across four clinical classes. Under inflation, no false negatives occurred, and misclassifications among similar diseases were fewer than with a commercial electronic stethoscope. These results demonstrate a practical path toward intelligent, wearable auscultation.

Science AdvancesVol. 11(51)
Sun Yat-sen University (CN), Dongguan University of Technology (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), Songshan Lake Materials Laboratory (CN), Hunan University of Technology (CN), Nanjing University of Aeronautics and Astronautics (CN), Tsinghua University (CN)
Openalex Percentile: Top 41%
Phonocardiography and Auscultation Techniques
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