哮鸣音人工智能监测及其临床应用进展  

Progress in artificial intelligence analysis of wheezing and application

作　　者：唐秋雨 张皓[2] Tang Qiuyu;Zhang Hao(Department of Respiration,Fujian Branch of Shanghai Children′s Medical Centre Affiliated to Shanghai Jiaotong University School of Medicine(Fujian Children′s Hospital Fujian Maternity and Child Health Hospital College of Clinical Medicine For Obstetrics&Gynecology and Pediatrics,Fujian Medical University),Fuzhou 350014,China;Department of Respiration,Shanghai Children′s Medical Centre Affiliated to Shanghai Jiaotong University School of Medicine,Shanghai 200127,China)

机构地区：[1]上海交通大学医学院附属上海儿童医学中心福建医院(福建省儿童医院,福建省妇幼保健院,福建医科大学妇儿临床医学院)呼吸科,福州350014 [2]上海交通大学医学院附属上海儿童医学中心呼吸科,上海200127

出　　处：《中华实用儿科临床杂志》2022年第14期1112-1117,共6页Chinese Journal of Applied Clinical Pediatrics

摘　　要：喘息是临床常见的儿童呼吸道疾病表现之一。然而,因其体征波动变化,医师难以听诊时随时抓捕异常呼吸音,家长更无法识别,造成了临床诊断和治疗过程的较大困难。因此,一种可随时采集儿童呼吸音并进行分析判断的数字监测装置对患儿的家庭治疗和疾病诊治有重大意义。近年来,数字监测装置的发展结合人工智能技术为呼吸音听诊提供了客观依据,提高了疾病诊断的准确率。现阶段基于人工智能技术的呼吸音听诊技术主要侧重于人工智能算法研究,包括了对声谱的图像处理和支持向量机等算法的应用。现就现阶段基于数字监测装置的呼吸音人工智能算法研究及应用进行综述。Asthma is a common respiratory disease of children.However,it could be problem during the clinical diagnose and treatment due to the parents unknowing the wheezing and pediatricians may not find positive sign because of intermittent change.A digital monitoring device which can gather and analysis the breath sound leads to the easy of family control.Recently the progresses of digital monitoring device with the technology of artificial intelligence provide an objective way for the chest auscultation and increase the accuracy of diagnose of asthma.Nowadays the technology of the chest auscultation based on artificial intelligence places emphasis on the research of artificial intelligence algorithm,include image processing of the sound spectrum and supportive vector machines.In this paper,the researches and applications of breath sound artificial intelligence algorithm based on digital monitoring device are reviewed.

关 键 词：数字监测装置 人工智能 呼吸音 

分 类 号：R725.6[医药卫生—儿科]