Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

ECG energy distribution analysis using ensemble empirical mode decomposition energy vector

Zeng Peng Liu Hong-Xing Ning Xin-Bao Zhuang Jian-Jun Zhang Xing-Gan

Citation:

ECG energy distribution analysis using ensemble empirical mode decomposition energy vector

Zeng Peng, Liu Hong-Xing, Ning Xin-Bao, Zhuang Jian-Jun, Zhang Xing-Gan
PDF
Get Citation

(PLEASE TRANSLATE TO ENGLISH

BY GOOGLE TRANSLATE IF NEEDED.)

  • Ensemble empirical mode decomposition (EEMD) method eliminates mode mixing phenomenon which is an inherent problem in empirical mode decomposition (EMD), and decomposes signals according to their intrinsic characteristics. It is suitable for analyzing nonlinear and non-stationary signals. Electrocardiogram (ECG) energy distribution exhibits a certain regularity which may vary with heart diseases. Researches on ECG energy distribution change are important for heart disease clinical diagnosis. In this paper, we use EEMD method to analyze ECG and find out how ECG energy distribution varies with age and heart diseases. We decompose the ECG signal into several intrinsic mode function (IMF) components by EEMD, and find that these IMFs can reveal the fluctuation rhythm and physical significance of ECG on different time scales. After IMFs have been decomposed, we calculate their energy and obtain an energy vector. By comparing the energy vectors among healthy young subjects, healthy old subjects, and three types of patients suffering from different heart diseases, we find that there is a significant decrease of high-frequency components of energy vector in heart disease patients as compared to healthy subjects, and a slight decrease of healthy old subjects as compared to healthy young subjects. T-test is performed to compare heart disease subjects with healthy subjects. Results show that there are significant differences between certain energy vector components, especially the first component p1 which could be used as heart disease auxiliary diagnosis. Compared to traditional frequency-domain analysis methods which simply concern about the frequency of a signal and ignore its own characteristics and interactions between signal components, EEMD method depends on ECG signal itself, therefore can reflect its real characteristics, and reveals the way how age and illness influence ECG energy distribution accurately.
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No.61271079) and the A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, China (PAPD).
    [1]

    Cao X W, Deng Q K 2001 Chinese Journal of Medical Physics 18 46 (in Chinese) [曹细武, 邓亲恺 2001 中国医学物理学杂志 18 46]

    [2]

    Yang X D, Ning X B, He A J, Du S D 2008 Acta Phys. Sin. 57 1514 (in Chinese) [杨小冬, 宁新宝, 何爱军, 都思丹 2008 物理学报 57 1514]

    [3]

    Hamprecht F A, Achleitner U, Krismer A C, Lindner K H, Wenzel V, Strohmenger H U, Thiel W, van Gunsteren W F, Amann A 2001 Resuscitation 50 287

    [4]

    Strohmenger H U, Lindner K H, Brown C G 1997 Chest 111 584

    [5]

    Bojarnejad M, Blake J, Bourke J P, Murray A, Langley P 2012 39th Conference on Computing in Cardiology Krakow, Poland, September 09-12, 2012 p713

    [6]

    Xie B, Yan B G, Lan Z K, Ma S W, Che X Y 2013 Progress in Modern Biomedicine 13 3756 (in Chinese) [谢斌, 严碧歌, 兰正康, 马世文, 车晓燕 2013 现代生物医学进展 13 3756]

    [7]

    Wang X, Peng Y 2006 Journal of Biomedical Engineering Research 25 122 (in Chinese) [王星, 彭屹 2006 生物医学工程研究 25 122]

    [8]

    Seena V, Jerrin Y 2014 2nd International Conference on Devices, Circuits and Systems Combiatore, India, March 6-8, 2014 p1

    [9]

    Bouaziz F, Boutana D, Benidir M 2014 IET Signal Process. 8 774

    [10]

    Banerjee S, Mitra M 2014 IEEE Transactions on Instrumentation and Measurement 63 326

    [11]

    Dong H S 2012 Ph. D. Dissertation (Lanzhou: Lanzhou University of Technology) (in Chinese) [董红生 2012 博士学位论文 (兰州: 兰州理工大学)]

    [12]

    Huang N E, Shen Z, Long S R, Wu M C, Shih H H, Zheng Q, Nai-Chyuan Y, Tung C C, Liu H H 1998 Proc. R. Soc. Lond. A 454 903

    [13]

    Chang K M, Liu S H 2011 Journal of Signal Processing Systems 64 249

    [14]

    Fu M J, Zhuang J J, Hou F Z, Zhan Q B, Shao Y, Ning X B 2010 Chin. Phys. B 19 592

    [15]

    Li H Q, Wang X F, Chen L, Li E B 2014 Circuits Syst Signal Process 33 1261

    [16]

    Wu Z, Huang N E 2009 Adv. Adapt. Data Anal. 01 1

    [17]

    Zhang R R, Ma S, Safak E, Hartzell S 2003 Journal of Engineering Mechanics 129 861

    [18]

    Shi Z Y, Jia M P 2012 Mechanical Engineering and Technology 1 61 (in Chinese) [石智云, 贾民平 2012 机械工程与技术 1 61]

    [19]

    Blanco-Velasco M, Weng B, Barner K E 2008 Computers in Biology and Medicine 38 1

    [20]

    Xue C F, Hou W, Zhao J H, Wang S G 2013 Acta Phys. Sin. 62 109203 (in Chinese) [薛春芳, 侯威, 赵俊虎, 王式功 2013 物理学报 62 109203]

    [21]

    Nathaniel E U, Beloff N, George N J 2013 Chin. Phys. B 22 84701

    [22]

    Upganlawar I V, Chowhan H 2014 International Journal of Computer Trends and Technology 11 166

    [23]

    Pang Y, Deng L, Lin J C, Li Z Y, Zhou Q N, Li G Q, Huang H W, Zhang Y, Wu W 2014 Acta Phys. Sin. 63 0987011 (in Chinese) [庞宇, 邓璐, 林金朝, 李章勇, 周前能, 李国权, 黄华伟, 张懿, 吴炜 2014 物理学报 63 098701]

    [24]

    Ning X B, Zhang D B, Yan W T, Chen Y, Wei T X 2002 Journal of Nanjing University (Natural Sciences) 38 7 (in Chinese) [宁新宝, 张道斌, 阎文泰, 陈颖, 魏太星 2002 南京大学学报: 自然科学版 38 7]

  • [1]

    Cao X W, Deng Q K 2001 Chinese Journal of Medical Physics 18 46 (in Chinese) [曹细武, 邓亲恺 2001 中国医学物理学杂志 18 46]

    [2]

    Yang X D, Ning X B, He A J, Du S D 2008 Acta Phys. Sin. 57 1514 (in Chinese) [杨小冬, 宁新宝, 何爱军, 都思丹 2008 物理学报 57 1514]

    [3]

    Hamprecht F A, Achleitner U, Krismer A C, Lindner K H, Wenzel V, Strohmenger H U, Thiel W, van Gunsteren W F, Amann A 2001 Resuscitation 50 287

    [4]

    Strohmenger H U, Lindner K H, Brown C G 1997 Chest 111 584

    [5]

    Bojarnejad M, Blake J, Bourke J P, Murray A, Langley P 2012 39th Conference on Computing in Cardiology Krakow, Poland, September 09-12, 2012 p713

    [6]

    Xie B, Yan B G, Lan Z K, Ma S W, Che X Y 2013 Progress in Modern Biomedicine 13 3756 (in Chinese) [谢斌, 严碧歌, 兰正康, 马世文, 车晓燕 2013 现代生物医学进展 13 3756]

    [7]

    Wang X, Peng Y 2006 Journal of Biomedical Engineering Research 25 122 (in Chinese) [王星, 彭屹 2006 生物医学工程研究 25 122]

    [8]

    Seena V, Jerrin Y 2014 2nd International Conference on Devices, Circuits and Systems Combiatore, India, March 6-8, 2014 p1

    [9]

    Bouaziz F, Boutana D, Benidir M 2014 IET Signal Process. 8 774

    [10]

    Banerjee S, Mitra M 2014 IEEE Transactions on Instrumentation and Measurement 63 326

    [11]

    Dong H S 2012 Ph. D. Dissertation (Lanzhou: Lanzhou University of Technology) (in Chinese) [董红生 2012 博士学位论文 (兰州: 兰州理工大学)]

    [12]

    Huang N E, Shen Z, Long S R, Wu M C, Shih H H, Zheng Q, Nai-Chyuan Y, Tung C C, Liu H H 1998 Proc. R. Soc. Lond. A 454 903

    [13]

    Chang K M, Liu S H 2011 Journal of Signal Processing Systems 64 249

    [14]

    Fu M J, Zhuang J J, Hou F Z, Zhan Q B, Shao Y, Ning X B 2010 Chin. Phys. B 19 592

    [15]

    Li H Q, Wang X F, Chen L, Li E B 2014 Circuits Syst Signal Process 33 1261

    [16]

    Wu Z, Huang N E 2009 Adv. Adapt. Data Anal. 01 1

    [17]

    Zhang R R, Ma S, Safak E, Hartzell S 2003 Journal of Engineering Mechanics 129 861

    [18]

    Shi Z Y, Jia M P 2012 Mechanical Engineering and Technology 1 61 (in Chinese) [石智云, 贾民平 2012 机械工程与技术 1 61]

    [19]

    Blanco-Velasco M, Weng B, Barner K E 2008 Computers in Biology and Medicine 38 1

    [20]

    Xue C F, Hou W, Zhao J H, Wang S G 2013 Acta Phys. Sin. 62 109203 (in Chinese) [薛春芳, 侯威, 赵俊虎, 王式功 2013 物理学报 62 109203]

    [21]

    Nathaniel E U, Beloff N, George N J 2013 Chin. Phys. B 22 84701

    [22]

    Upganlawar I V, Chowhan H 2014 International Journal of Computer Trends and Technology 11 166

    [23]

    Pang Y, Deng L, Lin J C, Li Z Y, Zhou Q N, Li G Q, Huang H W, Zhang Y, Wu W 2014 Acta Phys. Sin. 63 0987011 (in Chinese) [庞宇, 邓璐, 林金朝, 李章勇, 周前能, 李国权, 黄华伟, 张懿, 吴炜 2014 物理学报 63 098701]

    [24]

    Ning X B, Zhang D B, Yan W T, Chen Y, Wei T X 2002 Journal of Nanjing University (Natural Sciences) 38 7 (in Chinese) [宁新宝, 张道斌, 阎文泰, 陈颖, 魏太星 2002 南京大学学报: 自然科学版 38 7]

  • [1] Study of Multiscale Entropy Model to Evaluate the Cognitive Behavior of Healthy Elderly People Based on Resting State Functional Magnetic Resonance Imaging. Acta Physica Sinica, 2020, (): 008700. doi: 10.7498/aps.69.20200051
    [2] Zhang Fu-Yi, Ge Man-Ling, Guo Zhi-Tong, Xie Chong, Yang Ze-Kun, Song Zi-Bo. Study of multiscale entropy model to evaluate the cognitive behavior of healthy elderly people based on resting state functional magnetic resonance imaging. Acta Physica Sinica, 2020, 69(10): 108703. doi: 10.7498/aps.69.20200050
    [3] Dong Guo-Dan, Guo Ze-Qing, Qin Jian-Hua, Zhang Huan-Hao, Jiang Xiao-Hai, Chen Zhi-Hua, Sha Sha. Numerical investigations of Richtmyer-Meshkov instability in different magnetic field configurations and the corresponding dynamic mode decomposition. Acta Physica Sinica, 2019, 68(16): 165201. doi: 10.7498/aps.68.20190410
    [4] Zhang Tai-Ning, Meng Chun-Ning, Liu Run-Bei, Chang Sheng-Jiang. Eye gaze tracking based on dark pupil image. Acta Physica Sinica, 2013, 62(13): 134204. doi: 10.7498/aps.62.134204
    [5] Bing Lu, Wang Wei-Yuan, Wang Yong-Liang, Jiang Shi-Qin. MCG source reconstruction based on greedy sparse method. Acta Physica Sinica, 2013, 62(11): 118703. doi: 10.7498/aps.62.118703
    [6] Huang Bin, Zhao Xiang-Yu, Qi Kai, Tang Ming, Do Younghae. Coloring the complex networks and its application for immunization strategy. Acta Physica Sinica, 2013, 62(21): 218902. doi: 10.7498/aps.62.218902
    [7] Xue Chun-Fang, Hou Wei, Zhao Jun-Hu, Wang Shi-Gong. The application of ensemble empirical mode decomposition method in multiscale analysis of region precipitation and its response to the climate change. Acta Physica Sinica, 2013, 62(10): 109203. doi: 10.7498/aps.62.109203
    [8] Tang Jie. Analysis on periodic variations of the radio flux of OJ 287 with ensemble empirical mode decomposition. Acta Physica Sinica, 2013, 62(12): 129701. doi: 10.7498/aps.62.129701
    [9] Wang Wen-Bo, Zhang Xiao-Dong, Wang Xiang-Li. Chaotic signal denoising method based on independent component analysis and empirical mode decomposition. Acta Physica Sinica, 2013, 62(5): 050201. doi: 10.7498/aps.62.050201
    [10] Wang Wen-Bo, Wang Xiang-Li. Empirical mode decomposition pulsar signal denoising method based on predicting of noise mode cell. Acta Physica Sinica, 2013, 62(20): 209701. doi: 10.7498/aps.62.209701
    [11] Wang Wen-Bo, Zhang Xiao-Dong, Wang Xiang-Li. Pulsar signal denoising method based on empirical mode decomposition mode cell proportion shrinking. Acta Physica Sinica, 2013, 62(6): 069701. doi: 10.7498/aps.62.069701
    [12] Kuang Yu-Lan, Tang Guo-Ning. Eliminate spiral wave and spatiotemporal chaos by using short-term cardiac memory. Acta Physica Sinica, 2012, 61(19): 190501. doi: 10.7498/aps.61.190501
    [13] Kuang Yu-Lan, Tang Guo-Ning. Suppressions of spiral waves and spatiotemporal chaos in cardiac tissue. Acta Physica Sinica, 2012, 61(10): 100504. doi: 10.7498/aps.61.100504
    [14] Zhong Min, Tang Guo-Ning. Suppressing spiral waves and spatiotemporal chaos in cardiac tissue using local feedback. Acta Physica Sinica, 2010, 59(3): 1593-1599. doi: 10.7498/aps.59.1593
    [15] Pei Li-Jun, Qiu Ben-Hua. Generalization of mode decomposition approach to studies of the synchronization of non-identical coupled dynamical systems. Acta Physica Sinica, 2010, 59(1): 164-170. doi: 10.7498/aps.59.164
    [16] Yang Yong-Feng, Wu Ya-Feng, Ren Xing-Min, Qiu Yan. The effect of random noise for empirical mode decomposition of nonlinear signals. Acta Physica Sinica, 2010, 59(6): 3778-3784. doi: 10.7498/aps.59.3778
    [17] Hou Wang-Bin, Liu Tian-Qi, Li Xing-Yuan. Prony analysis of low frequency oscillations based on empirical mode decomposition filtering. Acta Physica Sinica, 2010, 59(5): 3531-3537. doi: 10.7498/aps.59.3531
    [18] Wen Luo-Sheng, Yang Xiao-Fan, Zhong Jiang. Two-sex epidemic spreading on bipartite scale-free networks. Acta Physica Sinica, 2008, 57(8): 4794-4799. doi: 10.7498/aps.57.4794
    [19] Gong Zhi-Qiang, Zou Ming-Wei, Gao Xin-Quan, Dong Wen-Jie. On the difference between empirical mode decomposition and wavelet decomposition in the nonlinear time series. Acta Physica Sinica, 2005, 54(8): 3947-3957. doi: 10.7498/aps.54.3947
    [20] BAO ZI-WEI, WEI RONG-JUE. STUDY ON SPEAKER'S VOICE QUALITY THROUGH ANALYSIS OF SPEECH NOISE. Acta Physica Sinica, 1978, 27(4): 476-479. doi: 10.7498/aps.27.476
Metrics
  • Abstract views:  6644
  • PDF Downloads:  415
  • Cited By: 0
Publishing process
  • Received Date:  09 August 2014
  • Accepted Date:  09 November 2014
  • Published Online:  05 April 2015

/

返回文章
返回