Resonant‐Coupled 3D Corrugated Triboelectric Sensor for Intelligent Health Monitoring

ABSTRACT

Continuous monitoring of body‐surface vibrations via ambulatory sensing provides critical data for individual healthcare and human health mapping. However, the lack of deep structural integration along the entire skin‐to‐sensor acoustic pathway has rendered wearable mechano‐acoustic sensors incapable of balancing wearability and signal fidelity at the system level. Here, we report a flexible, skin‐interfaced triboelectric patch that addresses impedance mismatch through an internal corrugated sensing structure integrated with a membrane‐based resonant acoustic coupling interface. This architecture substantially augments mechanical‐to‐electrical transduction, encompassing the dominant energy spectra (0–1000 Hz) of physiological motions with a sensitivity of 2062.66 mV·Pa ^{− 1} ·cm ^{− 2} at 168 Hz with a low detection threshold of 45 dB. Then, a bispectrogram classifier based on the Cardiechema database is constructed, tuned, and evaluated via 5 × 3 cross‐validation, achieving a mean accuracy of 96.71% and a macro F1‐score of 96.72%. By synergizing high‐fidelity sensing with machine learning, this robust multimodal framework establishes a general approach for real‐time diagnostics and personalized healthcare, offering profound insights into complex physiological signatures from cardiac pathologies to intricate sleep architectures.