首页|心肺音分离方法研究进展

心肺音分离方法研究进展

扫码查看
听诊是诊断心血管和呼吸系统疾病最有效的方法.为了达到准确诊断的目的,设备必须能够识别各种临床情况下的心肺音.然而,记录的胸腔声音通常为心肺音混合信号.因此,将心肺音混合信号分离对于医生听诊至关重要.本文介绍了心音信号和肺音信号的频率范围和信号特征,综述了目前心肺音分离方法的研究进展,阐述了现有各种心肺音分离方法的优缺点,指出了选取一种合适的心肺音分离算法来分离心肺音对辅助医疗的重要意义.
Research Progress of Heart-Lung Sound Separation Methods
Auscultation is the most effective method to diagnose cardiovascular and respiratory diseases.In order to achieve accurate diagnosis,the equipment must be able to identify cardiopulmonary sounds in various clinical situations.However,the recorded chest sound is usually a mixed signal of heart-lung sound.Therefore,it is very important for doctors to separate the mixed signals of heart and lung sounds.This paper introduced the frequency range and signal characteristics of heart sound signal and lung sound signal,summarized the research progress of heart-lung sound separation methods at present,and the advantages and disadvantages of various existing heart-lung sound separation methods,and pointed out the significance of choosing an appropriate heart-lung sound separation algorithm to separate heart-lung sound for auxiliary medical care.

cardiopulmonary sound separationheart sound signallung sound signaldeep learning

孙文慧、陈扶明、张乙鹏、李川涛、李楠

展开 >

中国人民解放军联勤保障部队第940医院 医疗保障中心,甘肃 兰州 730050

甘肃中医药大学 信息工程学院,甘肃 兰州 730000

海军军医大学 海军医学中心 航空生理心理训练队,上海 200433

心肺音分离 心音信号 肺音信号 深度学习

国家自然科学基金甘肃省自然科学基金

6190151522JR5RA002

2024

中国医疗设备
中国整形美容协会

中国医疗设备

CSTPCD
影响因子:0.825
ISSN:1674-1633
年,卷(期):2024.39(3)
  • 44