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