1674-1242 2025 5 699 707 10. 3969 / j. issn. 1674 - 1242. 2025. 05. 013 article Current Status and Progress of Physiological Sounds in Disease Diagnosis 生理声音作为人体在正常和病理状态下产生的自然声音，在疾病诊断中具有重要价值。随着医疗技术的进步，基于生理声音的诊断方法，特别是心音、肺音和肠鸣音分析，已经逐渐走向数字化、自动化和智能化，成为现代临床诊断的重要辅助手段。心音分析可辅助心血管疾病的诊断，肺音分析用于呼吸系统疾病的检测，肠鸣音分析则用于消化系统疾病的识别。这些技术结合人工智能和数字信号处理，提高了诊断的准确性和自动化水平，支持远程医疗和早期筛查。当前技术尚面临成本和标准化等挑战，未来的研究将聚焦多模态分析、数据个性化与可穿戴设备，进一步提升生理声音在临床中的应用。 Physiological sounds, as the natural sounds produced by the human body under normal and pathological conditions, are of great value in disease diagnosis. With the progress of medical technology, diagnostic methods based on physiological sounds, especially the analysis of heart sounds, lung sounds and bowel sounds, have gradually become digital, automated and intelligent, and become important auxiliary means of modern clinical diagnosis. Heart sounds analysis can assist in the diagnosis of cardiovascular diseases; lung sounds analysis is used to detect respiratory diseases, and bowel sounds analysis is used to identify digestive diseases. These technologies, combined with artificial intelligence and digital signal processing, improve diagnostic accuracy and automation, supporting telemedicine and early screening. While current technology faces cost and standardization challenges, future research will focus on multi-modal analysis, data personalization, and wearable devices to further enhance the clinical application of physiological sounds. 生理声音；疾病诊断；心音；肺音；肠鸣音 Physiological Sound; Disease Diagnosis; Heart Sound; Lung Sound; Bowel Sound 朱伟,许师明 ZHU Wei and XU Shi Ming 1.上海理工大学 健康科学与工程学院;2.上海理工大学 东方泛血管器械创新学院 1.College of Health Sciences and Engineering,University of Shanghai for Science and Technology;2.Oriental Pan-vascular Devices Innovation College,University of Shanghai for Science and Technology http://www.bmeprogress.com/swyxgcxjz/article/abstract/20250205001