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Research progress of multi-channel electronic auscultation instruments for cardiopulmonary sound detection and analysis
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Chi Zhang1, 2, Houqi Jiang1, Jin She3, *, Xiaoxu Hou4, Sheng Xie5
Modern Instruments & Medical Treatment | 2026, 32(3) : 45 - 52
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Modern Instruments & Medical Treatment | 2026, 32(3): 45-52
Research progress of multi-channel electronic auscultation instruments for cardiopulmonary sound detection and analysis
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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
Published: 2026-06-10 doi: 10.11876/mimt202603006
Outline
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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.

Multi-channel electronic auscultation instruments  /  Cardiopulmonary sound separation  /  Auxiliary disease diagnosis  /  Wearable devices  /  Non-negative matrix factorization
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
Appendix
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Year 2026 volume 32 Issue 3
72
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Article Info
doi: 10.11876/mimt202603006
  • Receive Date：2026-01-28
  • Online Date：2026-10-23
  • Published：2026-06-10
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  • Received：2026-01-28
Funding
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
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