[1]李倩,王飞,刘芊,等.心冲击图信号的采集和特征分析及其应用[J].中国医学物理学杂志,2020,37(1):83-89.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.017]
 LI Qian,WANG Fei,LIU Qian,et al.Acquisition, feature analysis and application of ballistocardiogram signals[J].Chinese Journal of Medical Physics,2020,37(1):83-89.[doi:DOI:10.3969/j.issn.1005-202X.2020.01.017]
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心冲击图信号的采集和特征分析及其应用()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第1期
页码:
83-89
栏目:
医学信号处理与医学仪器
出版日期:
2020-01-25

文章信息/Info

Title:
Acquisition, feature analysis and application of ballistocardiogram signals
文章编号:
1005-202X(2020)01-0083-07
作者:
李倩王飞刘芊黄启俊常胜何进王豪
武汉大学物理科学与技术学院, 湖北 武汉 430072
Author(s):
LI Qian WANG Fei LIU Qian HUANG Qijun CHANG Sheng HE Jin WANG Hao
School of Physics and Technology, Wuhan University, Wuhan 430072, China
关键词:
心冲击图信号心电图信号心动周期相关性分析
Keywords:
Keywords: ballistocardiogram signal electrocardiogram signal cardiac cycle correlation analysis
分类号:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2020.01.017
文献标志码:
A
摘要:
目的:探讨心冲击图(BCG)信号和心电图(ECG)信号的内在联系,从而提升BCG信号在临床中的应用价值。方法:同时采集BCG信号和ECG信号,利用小波预处理及自适应模板匹配提取BCG信号的J波,获取BCG信号的心动周期间隔,并与同时段ECG信号的心动周期间隔对比。采用一维卷积神经网络建立BCG信号到ECG信号的重构映射,获取原始ECG信号的形态。结果:同时采集得到的BCG和ECG信号的心动周期间隔相关度为98.16%,形态相关度为95.44%。可由BCG信号得到原始ECG信号的RR间期、QRS波段宽度、ST波段宽度等特征。结论:在BCG信号中可以找出有效ECG信号特征,并以此改善BCG信号的临床意义。 【关键词】心冲击图信号;心电图信号;心动周期;相关性分析
Abstract:
Abstract: Objective To explore the intrinsic relationship between ballistocardiogram (BCG) signals and electrocardiogram (ECG) signals for improving the value of BCG signals in clinical application. Methods BCG signals and ECG signals were simultaneously acquired, and the J wave of BCG signals was extracted by wavelet preprocessing and adaptive template matching for obtaining the cardiac cycle interval duration of BCG signals which were then compared with the cardiac cycle interval duration of the ECG signals acquired at the same time. One-dimensional convolutional neural network was used to establish a reconstructed mapping of BCG signals to ECG signals, thereby obtaining the morphology of the original ECG signals. Results The correlation between the cardiac cycle interval duration of BCG signals and that of ECG signals acquired at the same time was 98.16%, and the morphology correlation was 95.44%. Several features such as RR interval, QRS band width and ST band width of the original ECG signals could be obtained from BCG signals. Conclusion Effective ECG signal characteristics can be found in BCG signals, which can improve the clinical significance of BCG signals.

备注/Memo

备注/Memo:
【收稿日期】2019-09-11 【基金项目】国家自然科学基金(81971702,61774113,61204096,61404094);中央高校基本科研资助项目(2042015kf0174,2042014kf0238) 【作者简介】李倩,硕士研究生,研究方向:系统设计与信号处理,E-mail: rita_li@whu.edu.cn 【通信作者】黄启俊,博士,教授,研究方向:微电子系统设计探测系统(仪器)研发,E-mail: huangqj@whu.edu.cn
更新日期/Last Update: 2020-01-14