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Analysis of Electrocardiograph using Perceptron Feed Forward Neural Network

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 1
Year of Publication: 2014
Authors:
Bhandare Prashant Shivaji
Bokefode Jayant Dipak
Bhise Avdhut Suryakant
More Prajakta Bhanudas
10.5120/15536-4137

Bhandare Prashant Shivaji, Bokefode Jayant Dipak, Bhise Avdhut Suryakant and More Prajakta Bhanudas. Article: Analysis of Electrocardiograph using Perceptron Feed Forward Neural Network. International Journal of Computer Applications 90(1):5-10, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Bhandare Prashant Shivaji and Bokefode Jayant Dipak and Bhise Avdhut Suryakant and More Prajakta Bhanudas},
	title = {Article: Analysis of Electrocardiograph using Perceptron Feed Forward Neural Network},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {90},
	number = {1},
	pages = {5-10},
	month = {March},
	note = {Full text available}
}

Abstract

This paper provides a way for analyzing the ECG reports. Currently available systems are just limited to producing the ECG report, analysis made on that reports are totally manual. Manual analysis of reports is time consuming process and generates humanoid errors. We developed the system that works on artificial neural network to analyze the ECG reports. Our results show that cardiac condition of the heart by analyzing ECG reports.

References

  • Saravanan, C. Color Image to Grayscale Image Conversion
  • Raja Bala, Reiner Eschbach, Spatial Color-to-Grayscale Transform Preserving Chrominance Edge Information, Color Imaging Conference, 2004, pp. 82-86.
  • K. Rasche, R. Geist, J. Westall, Re-coloring Images for Gamuts of Lower Dimension Detail Preserving Color Transformation, EUROGRAPHICS, 24(3), 2005.
  • Mark Grundland, Neil A. Dodgson, Decolorize: Fast, Contrast Enhancing, Color to Grayscale Conversion, 40(11), 2007, pp. 2891-2896.
  • Amiruddin, A. I. Ali, M. S. A. M. ; Saaid, M. F. ; Jahidin, A. H. ; Noor, M. Z. H. "Feature reduction and arrhythmia classification via hybrid multilayered perceptron network"
  • Wei ZhangXiangyangXue ; Ziehen Sun ; Yue-FeiGuo ; Mingmin Chi ; Hong LuEfficient Feature Extraction for Image Classification
  • X. Li and I. Guskov, "Multi-scale features for approximate alignment of point-based surfaces," in Symp. Geom. Processing, 2005.
  • D. G. Lowe, "Distinctive image features form scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004.
  • Carlin, B. I. , and Andriole, G. L. , The natural history, skeletalcomplications, and management of bone metastases in patients with prostate carcinoma. Cancer. 88(12 Suppl):2989–2994, 2000.
  • Rigaud, J. , Tiguert, R. , Le Normand, L. , Karam, G. , Glemain, P. ,Buzelin, J. M. et al. , Prognostic value of bone scan in patients with metastatic prostate cancer treated initially with androgen deprivation therapy. J. Urol. 168(4 Pt 1):1423–1426, 2002.
  • Rodvold, D. M. , McLeod, D. G. , Brandt, J. M. , Snow, P. B. , andMurphy, G. P. , Introduction to artificial neural networks for physicians: taking the lid off the black box. Prostate. 46(1):39–44, 2001.
  • Forsstrom, J. J. , and Dalton, K. J. , Artificial neural networks fordecision support in clinical medicine. Ann. Med. 27(5):509–517, 1995.
  • Aubert, A. E. , et al. "Automatic detection of ventricular tachycardia and fibrillation using ECG processing and intramyocardial pressure measurement. " COMPUTERS AND BIOMEDICAL RESEARCH (Oct. 1994) vol. 27, no. 5, p. 367-82. (Journal article - English) ISSN 0010-4809
  • Laguna, P. , et al. "Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database. " COMPUTERS AND BIOMEDICAL RESEARCH (Feb. 1994) vol. 27, no. 1, p. 45-60. (Journal article - English) ISSN 0010-4809
  • Pandit, S. , et al. "A novel setup for automatic measurement of ECG signal parameters. " International Conference on CONTROL. Held: Coventry, UK, 21-24 March 1994. (UK: IEE, 1994. p. 18-23 vol. 1) (Conference paper - English) ISBN 0-85296-610-5
  • Suppappola, S. , et al. "Nonlinear transforms of ECG signals for digital QRS detection: a quantitative analysis. " IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (April 1994) vol. 41, no. 4, p. 397-400. (Journal article - English) ISSN 0018-9294.
  • P. Leijdekkers, and V. Gay, "Personal Heart Monitoring System Using Smart Phones To Detect Life Threatening.
  • Kailanto, H. Hyvarinen, E. ; Hyttinen, J. , "Mobile ECG measurement and analysis system using mobile phone as the base station".
  • D. E. Rumelhart, G. E. Hinton, R. J. Williams, Learning internal representation by error propagation. In: Rumelhart, D. E. , McClelland, J. L. , and the PDP research group (Eds), parallel distributed processing, MIT press, Cambridge, MA 318–362, 1996.
  • D. Gao, Y. Kinouchi, K. Ito, X. Zhao, Neural Networks for Event Extraction from Time Series: A Back Propagation Algorithm Approach. Future Generation Computer Systems (FGCS). (In press)
  • D. Gao, Y. Kinouchi, K. Ito, X. Zhao. Time Series Identifying and Modeling with Neural Networks. In: Proc. IEEE Int. Joint Conference on Neural Networks, Portland, USA. 2003; 2454–59.
  • Gallant, S. I. "Perceptron-based learning algorithms" In: Neural Networks, IEEE Transactions on (Volume:1 , Issue:2),2002.