可穿戴计算机
传感器
压力传感器
话筒
悬臂梁
听诊
计算机科学
灵敏度(控制系统)
声学
远程病人监护
可穿戴技术
持续监测
加速度计
听诊器
声压
材料科学
宽带
声传感器
心音
超声波传感器
嵌入式系统
作者
Tran Bach Dang,Chi Cong Nguyen,Seung Yun Heo,Thành Vinh Nguyễn,Nicholas Tong,Michael G. Ruppert,Thanh An Truong,Michael Listyawan,James Davies,Sinuo Zhao,Quang Anh Nguyen,Nhat Minh Doan,Anthony Sunjaya,Tracie Barber,Nigel H. Lovell,Thanh Nho,Hoang‐Phuong Phan
标识
DOI:10.1038/s41467-026-73636-6
摘要
Flexible and wearable devices employing acoustic sensors have emerged as promising alternatives for continuous monitoring of physiological mechano-acoustic signals during daily activities, offering distinct advantages over conventional rigid stethoscopes. However, the limited low-frequency sensitivity of commercial MEMS acoustic sensors constrains their ability to accurately capture vital physiological signals. Here, we present a wireless, flexible auscultation patch (AusculPatch) that overcomes these limitations by employing a highly sensitive cantilever pressure transducer (CPT). The combination of a narrow airgap in CPT together with the ultra-low mass of the nanothin cantilever enables precise measurement across a broad acoustic frequency range (0.2 Hz to over 10 kHz), allowing the detection of multiple physiological mechano-acoustic signals, including pulse waves, Korotkoff sounds, cardiac signals, respiration patterns, and vocalizations. The single-chip architecture simplifies circuitry, enabling a lightweight design ( ~ 3.2 g), compact form factor (20×47×3.5 mm), and low power consumption (4.5 mW), making AusculPatch an ideal platform for continuous wear for cardiorespiratory monitoring and potentially sleep quality assessment. These features represent a significant advance in the development of low-cost and multifunctional wearable devices capable of multi-site auscultation for home-based wellness monitoring as well as Artificial Intelligence (AI)-assisted diagnosis and Human-Machine Interaction (HMI) applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI