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
  • [1] Real-Time Spectrum Analysis Reveals Time Domain Characteristics of Frequency Domain Signals
    Hill, Thomas C.
    72ND ARFTG MICROWAVE MEASUREMENT SYMPOSIUM, 2008, : 102 - 108
  • [2] Integrating time signals in frequency domain - Comparison with time domain integration
    Brandt, Anders
    Brincker, Rune
    MEASUREMENT, 2014, 58 : 511 - 519
  • [3] EMG Signals Case Study: A Time and Frequency Domain Analysis
    Munteanu, M.
    Rusu, C.
    Moga, D.
    Moga, R.
    Tont, G.
    INTERNATIONAL CONFERENCE ON ADVANCEMENTS OF MEDICINE AND HEALTH CARE THROUGH TECHNOLOGY, 2011, 36 : 202 - +
  • [4] Segmentation of Surface Electromyography Signals: A Comparative Analysis of Time and Frequency Domain Methods
    Mendez-Moreno, Santiago
    Espinosa, Laura
    Vital-Ochoa, Omar
    Espinosa-Tanguma, Ricardo
    Acosta-Elias, Jesus
    COMPUTACION Y SISTEMAS, 2024, 28 (04): : 1783 - 1797
  • [5] Comparative Study of Noise Reduction Approaches with Engineering Applications in Time Domain and Frequency Domain
    Ye, Zhengmao
    Mohamadian, Habib
    PROCEEDINGS OF 2012 7TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, VOLS I-VI, 2012, : 1190 - 1194
  • [6] Electrocardiogram frequency characteristics study by processing and analysis of the signal in time domain and spectral domain
    Chereshnev, Vitaly O.
    Proskurin, Sergey G.
    CARDIOMETRY, 2020, (17): : 30 - 33
  • [7] Time-domain characteristics and frequency domain of panda hoot
    Han, Chunlian
    Shan, Fang
    Cao, Jialin
    Wang, Pengyan
    Zhang, Hemin
    Shengxue Xuebao/Acta Acustica, 2000, 25 (04): : 364 - 370
  • [8] Time Domain, Frequency Domain, and Time-Frequency Domain Analysis of Axial Liquid Velocity Signals under the Influence of Internal Components
    Li, Tingting
    Wang, Yifei
    Zeng, Jie
    Yu, Guangsuo
    Wang, Fuchen
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2023, 62 (32) : 12668 - 12689
  • [9] Watermarking of speech signals in the time-frequency domain
    Al-Khassaweneh, Mahmood
    Al-Zoubi, Hussein
    Aviyente, Selin
    2009 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY, 2009, : 317 - +
  • [10] Computer simulation of time-domain and frequency characteristics of ultrawideband signals for radio systems
    Garbaruk, M
    OVERVOLTAGES IN POWER, ELECTRONIC, COMPUTER AND ENGINEERING, 2005, : 139 - 144