现代仪器与医疗

面向心肺音检测及分析的多通道电子听诊器研究进展

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张弛 ¹^,² , 姜厚琦 ¹ , 佘瑾 ³^,^* , 侯晓旭 ⁴ , 谢晟 ⁵

现代仪器与医疗 | 医学工程 2026,32(3): 45-52

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现代仪器与医疗 |医学工程 2026 , 32 (3) : 45 -52

面向心肺音检测及分析的多通道电子听诊器研究进展

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张弛¹^,², 姜厚琦¹, 佘瑾³^,^*, 侯晓旭⁴, 谢晟⁵

作者信息

^1.高端医疗装备与器械创新及转化工业和信息化部重点实验室；国家医学攻关（医工结合方向）高端医疗装备与器械产教融合创新平台，生物与医学工程学院，北京航空航天大学，北京　100191

^2.虚拟现实技术与系统全国重点实验室，北京　100191

^3.宜昌市中心人民医院医学工程部，宜昌　443003

^4.中国食品药品检定研究院医疗器械检定所，北京　100050

^5.中日友好医院放射科，北京　100029

通讯作者:

佘瑾，男，博士研究生，高级工程师，研究方向：医疗器械

作者简介:

张弛，男，博士研究生，副教授，研究方向：医学信号与仪器

Research progress of multi-channel electronic auscultation instruments for cardiopulmonary sound detection and analysis

Chi Zhang¹^,², Houqi Jiang¹, Jin She³^,^*, Xiaoxu Hou⁴, Sheng Xie⁵

Affiliations

^1.Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology; National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China

^2.State Key Laboratory of Virtual Reality Technology and Systems, Beijing 100191, China

^3.Medical Engineering Department, Yichang Central People's Hospital, Yichang 443003, China

^4.Institute for Medical Devices Control, National Institutes for Food and Drug Control, Beijing 100050, China

^5.Department of Radiology, China-Japan Friendship Hospital, Beijing 100029, China

出版时间: 2026-06-10 doi: 10.11876/mimt202603006

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摘要

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心血管与呼吸系统疾病已成为全球高负担公共卫生问题，心肺音精准采集与分析是疾病早诊早治的核心技术手段。传统听诊主观性强且无法量化追溯，商用单通道电子听诊器存在心肺音混叠、智能化不足等局限，多通道电子听诊器凭借空间信息富集、抗干扰能力强等优势成为研究热点。本文综述多通道电子听诊器的研究进展，聚焦多体位适配、柔性传感阵列应用等硬件采集系统优化，盲源分离算法、深度学习方法等心肺音分离算法创新，以及生命体征监测、杂音识别、辅助诊断等临床应用，分析当前技术在集成化、鲁棒性、智能化等方面的突破与瓶颈，建议未来可从数据建设、算法融合及临床转化层面协同突破，旨在为该领域技术落地与推广提供参考。

关键词

多通道电子听诊器 / 心肺音分离 / 辅助疾病诊断 / 可穿戴设备 / 非负矩阵分解

Abstract

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Cardiovascular and respiratory diseases are leading global public health burdens, and accurate acquisition and analysis of cardiopulmonary sounds are critical for early disease diagnosis. Traditional auscultation is subjective and non-quantifiable, while commercial single-channel electronic stethoscopes face issues such as signal aliasing and limited intelligence. Multi-channel electronic auscultation systems have emerged as a research hotspot due to their advantages of rich spatial information and strong anti-interference capabilities. This article reviews the research progress of multi-channel electronic stethoscopes, focusing on the optimization of hardware acquisition systems such as multi-position compatibility and flexible sensor array applications, as well as innovations in algorithms for separating heart and lung sounds such as blind source separation algorithms and deep learning methods, and clinical applications including vital sign monitoring, abnormal sound identification, and auxiliary diagnosis. We highlight current technical breakthroughs and bottlenecks in integration, robustness, and intelligence, and propose future directions including standardized dataset construction, physics-informed algorithm design, and clinical translation pathways to promote the field's development.

Key words

Multi-channel electronic auscultation instruments / Cardiopulmonary sound separation / Auxiliary disease diagnosis / Wearable devices / Non-negative matrix factorization

引用本文

张弛, 姜厚琦, 佘瑾, 侯晓旭, 谢晟. 面向心肺音检测及分析的多通道电子听诊器研究进展. 现代仪器与医疗, 2026 , 32 (3) : 45 -52 . DOI: 10.11876/mimt202603006

Chi Zhang, Houqi Jiang, Jin She, Xiaoxu Hou, Sheng Xie. Research progress of multi-channel electronic auscultation instruments for cardiopulmonary sound detection and analysis[J]. Modern Instruments & Medical Treatment, 2026 , 32 (3) : 45 -52 . DOI: 10.11876/mimt202603006

基金

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湖北省自然科学基金项目(2024AFD183)
北京市自然科学基金-海淀原始创新联合基金项目(L252053)
虚拟现实技术与系统全国重点实验室项目

参考文献

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2026年第32卷第3期

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文章信息

doi: 10.11876/mimt202603006

接收时间：2026-01-28
首发时间：2026-10-23
出版时间：2026-06-10

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出版历史

收稿日期：2026-01-28

基金

湖北省自然科学基金项目(2024AFD183)

北京市自然科学基金-海淀原始创新联合基金项目(L252053)

虚拟现实技术与系统全国重点实验室项目

作者信息

^2.虚拟现实技术与系统全国重点实验室，北京　100191

^3.宜昌市中心人民医院医学工程部，宜昌　443003

^4.中国食品药品检定研究院医疗器械检定所，北京　100050

^5.中日友好医院放射科，北京　100029

通讯作者:

佘瑾，男，博士研究生，高级工程师，研究方向：医疗器械

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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