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Reseach Article

A Comparative Study of Traditional and Mobile based ECG System Algorithms

by Dipti Patil, V. M. Wadhai, Abhinav Sharma, Tejashree Chhajed, Prasad Pomaji, Bhagyashri Samanta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 3
Year of Publication: 2012
Authors: Dipti Patil, V. M. Wadhai, Abhinav Sharma, Tejashree Chhajed, Prasad Pomaji, Bhagyashri Samanta
10.5120/5518-7529

Dipti Patil, V. M. Wadhai, Abhinav Sharma, Tejashree Chhajed, Prasad Pomaji, Bhagyashri Samanta . A Comparative Study of Traditional and Mobile based ECG System Algorithms. International Journal of Computer Applications. 41, 3 ( March 2012), 1-5. DOI=10.5120/5518-7529

@article{ 10.5120/5518-7529,
author = { Dipti Patil, V. M. Wadhai, Abhinav Sharma, Tejashree Chhajed, Prasad Pomaji, Bhagyashri Samanta },
title = { A Comparative Study of Traditional and Mobile based ECG System Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 3 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number3/5518-7529/ },
doi = { 10.5120/5518-7529 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:37.780146+05:30
%A Dipti Patil
%A V. M. Wadhai
%A Abhinav Sharma
%A Tejashree Chhajed
%A Prasad Pomaji
%A Bhagyashri Samanta
%T A Comparative Study of Traditional and Mobile based ECG System Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 3
%P 1-5
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

ECG is a very important tool for cardiac health status measurement and detection of various diseases at their early stage. Thus, it will be helpful in providing such analysis on the move using a mobile device. The basic aim for such implementation would be an accurate, efficient yet light-weighted algorithm that is simple to implement on mobile. With a lot of traditional techniques been developed, it is important to study them correctly and use the right combination to achieve the desired result for efficient processing. This paper discusses comparative study of traditional and mobile based ECG feature extraction techniques and design of a mobile based ECG classification system.

References
  1. Natalia M. Arzeno, Zhi-De Deng, and Chi-Sang Poon, 'Analysis of First-Derivative Based QRS Detection Algorithms', IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 55, NO. 2, FEBRUARY 2008
  2. Jiapu pan and Willis J. Tompkins, 'A Real-Time QRS Detection Algorithm', IEEE Transactions on Biomedical Engineering, March 1985.
  3. Gary M. Friesen, Thomas C. Jannett, Manal Afify Jadallah, 'A Comparison of the Noise Sensitivity of Nine QRS Detection Algorithms', IEEE Transactions on Biomedical Engineering. Vol. 37. No. I. January 1990
  4. Mohamed Elgendi, Sivaram Mahalingam, Mirjam Jonkman, Friso De Boer , 'A Robust QRS Complex Detection Algorithm using Dynamic Thresholds', International Symposium on Computer Science and its Applications
  5. Patrick E. McSharry, Gari D. Clifford, Lionel Tarassenko, and Leonard A. Smith,' A Dynamical Model for Generating Synthetic Electrocardiogram Signals', IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 50, NO. 3, MARCH 2003
  6. Yuliyan Velchev and Ognian Boumbarov, 'Wavelet Transform Based ECG Characteristic Points Detector', International Scientific Conference Computer Science 2008.
  7. Qibin Zhao, and Liqing Zhan, "ECG Feature Extraction and Classification Using Wavelet Transform and Support Vector Machines," International Conference on Neural Networks and Brain, ICNN&B '05, vol. 2, pp. 1089-1092, 2005.
  8. S. Karpagachelvi, Dr. M. Arthanari, M. Sivakumar, 'ECG Feature Extraction Techniques - A Survey Approach', (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 1, April 2010
  9. I. Romero, L. Serrano, 'ECG frequency domain feature extraction: a new characteristic for Arrhythmias', Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  10. T. M. Nazmy, H. El-messiry, B. Al-bokhity 'Adaptive Neuro-fuzzy inference system for Classification of ECG signals', Journal of Theoretical and Applied Information Technology February 2010 | Vol. 12. No. 2
  11. K. W. Goh, J. Lavanya, Y. Kim, E. K. Tan and C. B. Soh , 'A PDA-based ECG beat detector for home cardiac care', Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
  12. Can Ye, Miguel Tavares Coimbra and B. V. K. Vijaya Kumar, 'Arrhythmia Detection and Classification using Morphological and Dynamic Features of ECG Signals', IEEE EMBS, August 31 - September 4, 2010
  13. B. Castro, D. Kogan and A. B. Geva, 'ECG feature extraction using optimal mother wavelet', Electrical and Electronic Engineers in Israel, 2000.
  14. Costas S. Iliopoulos, Spiros Michalakopoulos, 'Combinatorial ECG Analysis for Mobile Devices', MIR '10 Proceedings of the international conference on Multimedia information retrieval
  15. Costas S. Iliopoulos, Spiros Michalakopoulos, 'A Combinatorial Model for ECG Interpretation', World Academy of Science, Engineering and Technology 54 2009
  16. B. Anuradha, K. Suresh Kumar and V. C. Veera Reddy, 'Classification of cardiac signals using time domain methods', ARPN Journal of Engineering and Applied Sciences VOL. 3, NO. 3, JUNE 2008
Index Terms

Computer Science
Information Sciences

Keywords

Ecg Analysis Feature Extraction Mobile Phone Development