Heart rate Estimation of III-Lead ECG Measurement

Authors

  • Siriphan Phetnua Media Technology Program, King Mongkut’s University of Technology Thonburi, Thailand
  • Thaweesak Yingthawornsu Media Technology Program, King Mongkut’s University of Technology Thonburi, Thailand

Keywords:

Electrocardiogram, Heart rate, III - Lead

Abstract

The aim of this study is to implement the algorithm proposal able to estimate the heart rate waveform directly from the raw ECG signal based on the modification of previously proposed algorithm by Willis J. Tompkins [1]. Two groups of ECG records comprising of 10 normal ECG signals collected with III-lead measurement and abnormal ECG signals of Congestive Heart Failure ECG subject obtained from MIT-BIH online database were estimated for their heart rate waveforms and compared for the significant different change in waveform. As result shown from the heart rate waveform comparison between normal and abnormal ECG signals, the significant difference can be notified in term variation and heart rate waveform of fluctuation, amplitude level and frequency- domain characteristics.

References

W.J .Tompkins, “Electrocardiography, ”in Biomedical Digital Signal Processing, W.J .Tompkins, Ed .New Jersey : Prentice Hall, 2000, pp.24-54.

Q.U .Xiao, C .Wei, and A .Preprocessing“ .ECG Signal Classification Based on BPNN, ”in Electric Information and Control Engineering, ICEICE, 2011 International Conference on, 2011, no .1, pp .1362 –1364.

A .Bollmann, M .Roig, F .Castells, P .Laguna, and S .Leif, “Principal Component Analysis in ECG Signal Processing, ” EURASIP J .Adv .Signal Process., vol.2007,2007 .

H .Gothwal, S .Kedawat, and R .Kumar, “Cardiac arrhythmias detection in an ECG beat signal using fast fourier transform and artificial neural network, ”J .Biomed . Sci .Eng., vol .2011, no .April, p.44039,2011.

Physionet.org, “ECG Database ”, Online, Available: http//:physionet.org/physiobank/database/#ecg .

Patrick S .Hamilton, Willis J .Tompkins, “Quantitative Investigation of QRS Detection Rules Using the MIT/BH Arrhythmia Database”, IEEE Transaction on biomedical engineering .Vol .BME-33, No.12 December 1986.

C .Thanawattano and T .Yingthawornsuk, “Cardiac Arrhythmia Classification using Beat-by-Beat Autoregressive Modeling”, 2013 3rd International Conference on Computer and Electrical Engineering, ICCEE 2010.

J .Huang, “Study of Autoregressive, AR, Spectrum

Estimation Algorithm for Vibration Signals of Industrial Stream Turbines”, International Journal of Control and Automation Vol.7, No.8, 2014.

C .Guyton, “Textbook of Medical Physiology ”8th Edition, Harcourt College Pub; October 1990.

S .Z .Mahmoodabadi, A .Ahmadian, and M .D . Abolhasami, "ECG Feature Extraction Using Daubechies Wavelets, "in Proc .of the fifth IASTED International Conference Visualization, Imaging, and Image Processing, 2005, vol .2011, no .2, pp .343-348

Downloads

Published

2024-02-12

How to Cite

1.
Phetnua S, Yingthawornsu T. Heart rate Estimation of III-Lead ECG Measurement. j.intell.inform. [Internet]. 2024 Feb. 12 [cited 2024 Oct. 5];3(April). Available from: https://ph05.tci-thaijo.org/index.php/JIIST/article/view/116