|国家科技期刊平台
首页|期刊导航|传感技术学报|SCG信号处理与应用研究进展

SCG信号处理与应用研究进展OA北大核心CSTPCD

Research Progress of Seismocardiography Signal Processing and Applications

中文摘要英文摘要

心血管疾病是严重影响人类生命健康的因素之一.如何利用各类检测方法对人体心血管进行早期健康评估和疾病诊断是有效保障人民生命健康的有效手段.其中,由人体心脏跳动引起的胸腔震动信号(Seismocardiography,SCG)可用于描述细粒度的心脏活动信息,包括心脏瓣膜的打开、关闭等,有助于对冠心病、心肌梗死、心脏出血等心血管疾病的检测和诊断.并且,得益于多种轻型传感器和非接触式传感器的研发,可以实现对人体SCG信号长期、日常化的监测.近年来,科研人员对SCG信号的研究越来越具体,SCG信号的获取方式、信号降噪算法、特征提取以及临床应用等研究内容都取得了一定的突破.将从以上几方面对近年来SCG信号领域的研究情况进行总结和展望.

Cardiovascular disease is one of the factors that seriously affect human life and health.How to use various detection methods for early health assessment and disease diagnosis of human cardiovascular system is an effective means to ensure people's life and health.Among them,the thoracic vibration signal(seismocardiography,SCG)caused by human heart beating can be used to describe fine-grained cardiac activity information,including the opening and closing of heart valves,which helps in the detection and diagnosis of cardiovascular diseases such as coronary heart disease,myocardial infarction,and cardiac bleeding.Moreover,thanks to the development of various lightweight sensors and non-contact sensors,long-term and daily monitoring of human SCG signals can be achieved.In recent years,researchers have become more specific in their study of SCG signals,and have made certain breakthroughs in the acquisition methods,signal denoising algorithms,feature extraction,and clinical applications of SCG signals.The research situation in the field of SCG signals in recent years from the above aspects is summarized and corresponding prospect is discussed.

王超超;胡钧益;蒋治国;张先超

嘉兴大学信息网络与智能研究院,浙江 嘉兴 314001||嘉兴大学信息科学与工程学院,浙江 嘉兴 314001||嘉兴大学浙江省医学电子与数字健康重点实验室,浙江 嘉兴 314001嘉兴大学生命健康智能感知浙江省工程研究中心,浙江 嘉兴 314001

计算机与自动化

心震图MEMS加速度传感器陀螺仪FMCW雷达心血管

seismocardiographyMEMSacceleration sensorgyroscopeFMCW radarcardiovascular

《传感技术学报》 2024 (006)

923-940 / 18

浙江省自然科学基金项目(LQ23F010006);浙江省"鲲鹏行动"计划项目;浙江省教育厅一般科研项目(Y202249280)

10.3969/j.issn.1004-1699.2024.06.001

评论