Comparative study on the characteristics of electrocardiac signals in time domain and frequency domain

被引:0
|
作者
机构
[1] He, W.
来源
He, W. | 2001年 / West China University of Medical Sciences卷 / 18期
关键词
Fast Fourier transforms - Frequency domain analysis - Time domain analysis - Waveform analysis;
D O I
暂无
中图分类号
学科分类号
摘要
There are two methods (time domain and frequency domain) for the analysis of electrocardiac signals. In this paper is reported a study on them by way of comparison. With the use of filtering method in frequency domain, certain low frequency components were filtered, the time domain waveform was retrieved by IFFT, and the biphase T wave appeared in time domain. After some high frequency components were filtered, time domain wave was retrieved by IFFT, and amplified, the time domain representation of high frequency ECS could be shown obviously, i.e. there was no evident structure in time domain representation of high frequency components in P- and T-waves, but there was evident structure in high frequency components in QRS complex. The duration of QRS depended upon high frequency components, and it was prolonged by filtering certain high frequency components. The slurring of QRS complex was caused by increasing high frequency components, on ventricular depolarized QRS-complex, there were both triangular pulse-like and a triangular pulse-like waveforms, and their power spectrum had both types of feature, single peak and inversepower spectrum. There was no regularity in the spectrum of entire cycle, P- and T-waves, but these was some structure in QRS wave.
引用
收藏
相关论文
共 50 条
  • [31] TIME-VARIANT FILTERING OF SIGNALS IN THE MIXED TIME-FREQUENCY DOMAIN
    SALEH, BEA
    SUBOTIC, NS
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1985, 33 (06): : 1479 - 1485
  • [32] Direct connection between time-domain performance and frequency-domain characteristics
    Franchek, MA
    Herman, PA
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 1998, 8 (12) : 1021 - 1042
  • [33] Decentralized Control in the Frequency Domain and in the Time Domain
    Bensoussan, David
    Ghodbane, Azeddine
    Hammami, Maher
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (10) : 3052 - 3067
  • [34] Analysis of time-frequency domain characteristics of harmonics of complex energy signals and their influences on energy measurement
    Wang X.
    Tian F.
    Yuan R.
    Li W.
    Wang G.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (05): : 191 - 198
  • [35] Analysis of pickup signals in the time domain and the frequency domain for the beam position monitor at the Pohang light source
    Huang, JY
    Yu, IH
    Hwang, WH
    Chun, MH
    Kim, SC
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2006, 48 (04) : 768 - 771
  • [36] Detection of sinusoidal signals in frequency domain
    Ahmed, Fathy M.
    Elbarbary, Khairy A.
    Elbardawiny, Abdel Rahman H.
    PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2, 2006, : 1261 - +
  • [37] Frequency Domain Modeling for Classification of Signals
    Mohanty, Kanungo Barada
    UKSIM 2009: ELEVENTH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION, 2009, : 212 - 216
  • [38] Detection of stochastic signals in the frequency domain
    Chan, YT
    Yuan, Q
    So, HC
    Inkol, R
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2001, 37 (03) : 978 - 988
  • [39] Time and frequency domain analysis of wrist pulse signals for health diagnosis
    Thakker, Bhaskar
    Vyas, Anoop Lal
    Tripathi, Diwakar Mani
    INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2014, 15 (03) : 273 - 287
  • [40] Underdetermined source separation of EEG signals in the time-frequency domain
    Shan, Zeyong
    Swary, Jacob
    Aviyente, Selin
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 3637 - 3640