Li Yun, Zhao Zhanjiang, Ainiwaer Aikeliyaer, Mei Daoju, Zhang Peirong, Prinzen Frits W, Luo Hongxing
Department of Emergency, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China.
Department of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, PO Box 616, 6200 MD Maastricht, The Netherlands.
Eur Heart J Digit Health. 2025 Feb 10;6(3):486-495. doi: 10.1093/ehjdh/ztaf007. eCollection 2025 May.
Smartphones have recently been utilized to measure heart sounds in the general population, but not yet in real-world hospital settings. This study aims to assess the feasibility of smartphones for heart sound measurement across various hospital departments and to identify the factors causing suboptimal heart sound measurements.
The FonoCheck app was used to measure heart sounds from the chest of 296 hospitalized patients. Two assessors independently evaluated the quality of heart sound recordings based on the presence of the first and second heart sounds. Both environmental and patient-related factors were examined for their effects on heart sound quality. Visual assessments identified 254 (86%) good-quality heart sound recordings, with lower frequencies observed in the emergency room (67%), respiratory intensive care unit (78%), and general intensive care unit (82%). The heart sound recordings were affected by various types of noise, including respiration, conversation, motion, and interference from medical devices. However, patient demographics such as sex and body mass index were not associated with poor heart sound quality ( > 0.05), except for age which had a negative impact ( = 0.003). None of the patients' comorbidities, including atrial fibrillation, coronary artery disease, heart failure, and chronic obstructive pulmonary disease, significantly affected the heart sound measurements ( > 0.05).
It is feasible to use smartphones to measure high-quality heart sounds in hospitals. However, environmental factors and patient's age may lead to suboptimal measurements. This study supports the future medical applications of FonoCheck app in hospital settings.
智能手机最近已被用于在普通人群中测量心音,但尚未在实际医院环境中使用。本研究旨在评估智能手机在各医院科室进行心音测量的可行性,并确定导致心音测量不理想的因素。
使用FonoCheck应用程序对296名住院患者的胸部心音进行测量。两名评估人员根据第一心音和第二心音的存在情况独立评估心音记录的质量。研究了环境因素和患者相关因素对心音质量的影响。视觉评估确定了254份(86%)高质量的心音记录,在急诊室(67%)、呼吸重症监护病房(78%)和综合重症监护病房(82%)观察到较低的频率。心音记录受到各种类型噪声的影响,包括呼吸、交谈、运动以及医疗设备的干扰。然而,患者的人口统计学特征如性别和体重指数与心音质量差无关(P>0.05),但年龄有负面影响(P=0.003)。患者的合并症,包括心房颤动、冠状动脉疾病、心力衰竭和慢性阻塞性肺疾病,均未显著影响心音测量(P>0.05)。
在医院中使用智能手机测量高质量的心音是可行的。然而,环境因素和患者年龄可能导致测量不理想。本研究支持FonoCheck应用程序在医院环境中的未来医学应用。