智能手机用于医院心音测量的可行性及影响因素。

IF 4.4 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
European heart journal. Digital health Pub Date : 2025-02-10 eCollection Date: 2025-05-01 DOI:10.1093/ehjdh/ztaf007
Yun Li, Zhanjiang Zhao, Aikeliyaer Ainiwaer, Daoju Mei, Peirong Zhang, Frits W Prinzen, Hongxing Luo
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引用次数: 0

摘要

目的:智能手机最近被用于测量普通人群的心音,但尚未在现实世界的医院环境中使用。本研究旨在评估智能手机在各个医院部门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。方法与结果:使用FonoCheck应用程序测量296例住院患者的胸部心音。两名评估员根据第一和第二心音的存在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。目视评估确定了254例(86%)质量良好的心音记录,在急诊室(67%)、呼吸重症监护病房(78%)和普通重症监护病房(82%)观察到的频率较低。心音记录受到各种噪音的影响,包括呼吸、谈话、运动和医疗设备的干扰。然而,患者的人口统计数据,如性别和体重指数与心音质量差无关(P > 0.05),除了年龄有负面影响(P = 0.003)。心房颤动、冠状动脉疾病、心力衰竭、慢性阻塞性肺疾病等合并症对心音测量均无显著影响(P < 0.05)。结论:在医院使用智能手机测量高质量心音是可行的。然而,环境因素和患者的年龄可能导致测量结果不理想。本研究支持FonoCheck应用程序在医院环境中的未来医疗应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Smartphone for heart sound measurement in hospital: feasibility and influencing factors.

Smartphone for heart sound measurement in hospital: feasibility and influencing factors.

Smartphone for heart sound measurement in hospital: feasibility and influencing factors.

Smartphone for heart sound measurement in hospital: feasibility and influencing factors.

Aims: 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.

Methods and results: 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 (P > 0.05), except for age which had a negative impact (P = 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 (P > 0.05).

Conclusion: 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.

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