Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Department of Critical Care Medicine, Far Eastern Memorial Hospital, New Taipei, Taiwan.
J Clin Monit Comput. 2021 May;35(3):663-670. doi: 10.1007/s10877-020-00517-8. Epub 2020 May 9.
A 67-year-old male patient with chronic obstructive pulmonary disease was admitted to a hospital in northern Taiwan for progressive dyspnea and productive cough with an enlarged left upper lobe tumor (5.3 × 6.8 × 3.9 cm). Previous chest auscultation on outpatient visits had yielded diffuse wheezes. A localized stridor (fundamental frequency of 125 Hz) was captured using a multichannel electronic stethoscope comprising four microelectromechanical system microphones. An energy-based localization algorithm was used to successfully locate the sound source of the stridor caused by tumor compression. The results of the algorithm were compatible with the findings obtained from computed tomography and bronchoscopy (mean radius = 9.40 mm and radial standard deviation = 14.97 mm). We demonstrated a potential diagnostic aid for pulmonary diseases through sound-source localization technology based on respiratory monitoring. The proposed technique can facilitate detection when advanced imaging tools are not immediately available. Continuing effort on the development of more precise estimation is warranted.
一位 67 岁男性患者，患有慢性阻塞性肺病，因进行性呼吸困难和左肺上叶大肿瘤（5.3×6.8×3.9cm）伴咳痰而入住中国台湾北部的一家医院。之前在门诊的胸部听诊显示弥漫性哮鸣音。使用包含四个微机电系统麦克风的多通道电子听诊器捕获到局部喘鸣音（基频 125Hz）。基于能量的定位算法成功定位了肿瘤压迫引起的喘鸣音的声源。该算法的结果与计算机断层扫描和支气管镜检查的结果相吻合（平均半径=9.40mm，径向标准差=14.97mm）。我们通过基于呼吸监测的声源定位技术展示了一种用于肺部疾病的潜在诊断辅助手段。当先进的成像工具无法立即获得时，该技术可以方便地进行检测。需要继续努力开发更精确的估计方法。
