Georgia Institute of Technology, Atlanta, GA, 30308, USA.
StethX Microsystems, Atlanta, GA, 30308, USA.
Sci Rep. 2021 Jun 28;11(1):13427. doi: 10.1038/s41598-021-92666-2.
Monitoring pathological mechano-acoustic signals emanating from the lungs is critical for timely and cost-effective healthcare delivery. Adventitious lung sounds including crackles, wheezes, rhonchi, bronchial breath sounds, stridor or pleural rub and abnormal breathing patterns function as essential clinical biomarkers for the early identification, accurate diagnosis and monitoring of pulmonary disorders. Here, we present a wearable sensor module comprising of a hermetically encapsulated, high precision accelerometer contact microphone (ACM) which enables both episodic and longitudinal assessment of lung sounds, breathing patterns and respiratory rates using a single integrated sensor. This enhanced ACM sensor leverages a nano-gap transduction mechanism to achieve high sensitivity to weak high frequency vibrations occurring on the surface of the skin due to underlying lung pathologies. The performance of the ACM sensor was compared to recordings from a state-of-art digital stethoscope, and the efficacy of the developed system is demonstrated by conducting an exploratory research study aimed at recording pathological mechano-acoustic signals from hospitalized patients with a chronic obstructive pulmonary disease (COPD) exacerbation, pneumonia, and acute decompensated heart failure. This unobtrusive wearable system can enable both episodic and longitudinal evaluation of lung sounds that allow for the early detection and/or ongoing monitoring of pulmonary disease.
监测源自肺部的病理机械声信号对于及时、经济高效地提供医疗保健至关重要。包括爆裂声、哮鸣音、喘鸣音、支气管呼吸音、喘鸣或胸膜摩擦音以及异常呼吸模式等偶然肺音可作为早期识别、准确诊断和监测肺部疾病的重要临床生物标志物。在这里,我们提出了一种可穿戴传感器模块,该模块由一个密封封装的高精度加速度计接触麦克风(ACM)组成,该麦克风可以使用单个集成传感器对肺音、呼吸模式和呼吸频率进行间歇性和纵向评估。这种增强型 ACM 传感器利用纳米间隙换能机制实现了对由于潜在肺部疾病而在皮肤表面发生的弱高频振动的高灵敏度。ACM 传感器的性能与最先进的数字听诊器的记录进行了比较,并通过进行探索性研究来证明开发系统的功效,该研究旨在从患有慢性阻塞性肺疾病(COPD)加重、肺炎和急性失代偿性心力衰竭的住院患者身上记录病理机械声信号。这种非侵入性可穿戴系统可以对肺音进行间歇性和纵向评估,从而实现对肺部疾病的早期发现和/或持续监测。