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人工智能利用超级听诊器对心音进行诊断。

AI diagnosis of heart sounds differentiated with super StethoScope.

机构信息

AMI Inc., Kagoshima, Japan.

AMI Inc., Kagoshima, Japan.

出版信息

J Cardiol. 2024 Apr;83(4):265-271. doi: 10.1016/j.jjcc.2023.09.007. Epub 2023 Sep 20.

Abstract

In the aging global society, heart failure and valvular heart diseases, including aortic stenosis, are affecting millions of people and healthcare systems worldwide. Although the number of effective treatment options has increased in recent years, the lack of effective screening methods is provoking continued high mortality and rehospitalization rates. Appropriately, auscultation has been the primary option for screening such patients, however, challenges arise due to the variability in auscultation skills, the objectivity of the clinical method, and the presence of sounds inaudible to the human ear. To address challenges associated with the current approach towards auscultation, the hardware of Super StethoScope was developed. This paper is composed of (1) a background literature review of bioacoustic research regarding heart disease detection, (2) an introduction of our approach to heart sound research and development of Super StethoScope, (3) a discussion of the application of remote auscultation to telemedicine, and (4) results of a market needs survey on traditional and remote auscultation. Heart sounds and murmurs, if collected properly, have been shown to closely represent heart disease characteristics. Correspondingly, the main characteristics of Super StethoScope include: (1) simultaneous collection of electrocardiographic and heart sound for the detection of heart rate variability, (2) optimized signal-to-noise ratio in the audible frequency bands, and (3) acquisition of heart sounds including the inaudible frequency ranges. Due to the ability to visualize the data, the device is able to provide quantitative results without disturbance by sound quality alterations during remote auscultations. An online survey of 3648 doctors confirmed that auscultation is the common examination method used in today's clinical practice and revealed that artificial intelligence-based heart sound analysis systems are expected to be integrated into clinicians' practices. Super StethoScope would open new horizons for heart sound research and telemedicine.

摘要

在老龄化的全球社会中,心力衰竭和瓣膜性心脏病(包括主动脉瓣狭窄)正在影响着全世界数以百万计的人和医疗系统。尽管近年来有效的治疗选择有所增加,但缺乏有效的筛查方法仍导致死亡率和再住院率持续居高不下。听诊一直是筛查此类患者的主要选择,但由于听诊技能的可变性、临床方法的客观性以及人耳听不到的声音的存在,挑战也随之而来。为了解决与听诊当前方法相关的挑战,开发了 Super StethoScope 的硬件。本文由以下部分组成:(1)心脏疾病检测的生物声学研究背景文献综述;(2)我们的心脏声音研究和 Super StethoScope 开发方法的介绍;(3)远程听诊在远程医疗中的应用讨论;(4)传统和远程听诊的市场需求调查结果。如果收集得当,心音和杂音已被证明与心脏病特征密切相关。相应地,Super StethoScope 的主要特点包括:(1)同时采集心电图和心音以检测心率变异性;(2)优化可听频带内的信噪比;(3)获取包括不可听频带在内的心音。由于能够可视化数据,该设备能够提供定量结果,而不会受到远程听诊过程中音质变化的干扰。对 3648 名医生的在线调查证实,听诊是当今临床实践中常用的检查方法,并揭示了基于人工智能的心音分析系统有望被整合到临床医生的实践中。Super StethoScope 将为心音研究和远程医疗开辟新的视野。

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