Motion artifacts extraction using dwt from ambulatory ECG (A-ECG)

Dixit V. Bhoraniya, R. Kher
{"title":"Motion artifacts extraction using dwt from ambulatory ECG (A-ECG)","authors":"Dixit V. Bhoraniya, R. Kher","doi":"10.1109/ICCSP.2014.6950112","DOIUrl":null,"url":null,"abstract":"Ambulatory ECG signal monitoring is useful when long term cardiac monitoring of a patient is necessary. Ambulatory ECG (A-ECG) monitoring provides electrical activity of the heart while a person is involved in doing his or her normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to person's body movements during routine activities. This motion artifact has spectral overlap with cardiac signal in 1-10 Hz which corresponds to ECG features like P wave and T wave. Detection of motion artifacts due to different physical activities (PA) might help in further cardiac diagnosis. Ambulatory ECG signal analysis for detection of various motion artifacts using discrete wavelet transform (DWT) approach is addressed in this paper. The ECG signals of healthy subjects (aged of 19 to 16 years) were recorded while the person performs various body movements activity like (i) up and down movement of left hand, (ii) up and down movement of right hand, (iii) waist twisting movement while standing and (iv) change in position from sitting down on chair to standing up movement in lead I configuration by using BIOPAC MP 36 signal acquiring system.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Communication and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2014.6950112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Ambulatory ECG signal monitoring is useful when long term cardiac monitoring of a patient is necessary. Ambulatory ECG (A-ECG) monitoring provides electrical activity of the heart while a person is involved in doing his or her normal routine activities. Thus, the recorded ECG signal consists of cardiac signal along with motion artifacts introduced due to person's body movements during routine activities. This motion artifact has spectral overlap with cardiac signal in 1-10 Hz which corresponds to ECG features like P wave and T wave. Detection of motion artifacts due to different physical activities (PA) might help in further cardiac diagnosis. Ambulatory ECG signal analysis for detection of various motion artifacts using discrete wavelet transform (DWT) approach is addressed in this paper. The ECG signals of healthy subjects (aged of 19 to 16 years) were recorded while the person performs various body movements activity like (i) up and down movement of left hand, (ii) up and down movement of right hand, (iii) waist twisting movement while standing and (iv) change in position from sitting down on chair to standing up movement in lead I configuration by using BIOPAC MP 36 signal acquiring system.
基于dwt的动态心电图(A-ECG)运动伪影提取
当需要对患者进行长期心脏监测时,动态心电图信号监测是有用的。动态心电图(a -ECG)监测提供了当一个人参与他或她的正常日常活动时心脏的电活动。因此,记录的心电信号由心脏信号以及由于人在日常活动中身体运动而引入的运动伪影组成。该运动伪影在1 ~ 10hz范围内与心脏信号有频谱重叠,对应于P波和T波等ECG特征。检测不同身体活动引起的运动伪影(PA)可能有助于进一步的心脏诊断。本文研究了用离散小波变换(DWT)方法对动态心电信号进行分析,以检测各种运动伪影。采用BIOPAC mp36信号采集系统,记录19 ~ 16岁健康受试者在进行(i)左手上下运动、(ii)右手上下运动、(iii)站立时扭腰运动、(iv)在导联1位下从椅子上坐下到站起来运动等身体运动时的心电信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信