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Original Article
Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images
Dr. A.Richard William1
Manish M2
Manjunath S3
Pandurangappa4
Veersesh5
1 Professor, Department of Computer Science and Engineering Rajarajeswari College of Engineering Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering Rajarajeswari College of Engineering Bengaluru, Karnataka India.
Published Online: November-December 2025
Pages: 117-124
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250506018
References
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2. G. A. Roth, G. A. Roth, D. Abate, K. H. Abate, S. M. Abay, C. Naghavi, N. Abbasi, H. Abbastabar, F. Abd-Allah, J. Abdela, A. Abdelalim, and I. Abdollahpour
3. Timmis, ‘‘Global burden of cardiovascular disease,’’ Heart, vol. 93, no. 10, p. 1175, 2007.
4. T. J. Thom, ‘‘Stroke mortality trends an international perspective,’’ Ann. Epidemiol., 509–518, Sep. 1993.
5. J. Demirovic Myerburg, ‘‘Epidemiology of sudden coronary death: An overview,’’ Prog. Cardiovascular Diseases, Jul. 1994
6. A. Haluska, S. J. Whistler, R. G. Baker, and R. V. Calfee, ‘‘Implantable cardiac stimulator for detection and treatment of ventricular arrhythmias,’’ U.S. Patent 0 687 5218, Jun. 17, 1986
7. D. H. Bardy, W. J. Rissmann, A. H. Ostroff, P. J. Erlinger, and V. Allavatam, ‘‘Apparatus and method of arrhythmia detection in a subcutaneous implantable cardioverter/defibrillator,’’ Tech. Rep., 2001. [Online]. Available: https://patents.justia.com/patent/6754528
8. H. Sawaya, I. A. Sebag, J. C. Plana, J. L. Januzzi, B. Ky, V. Cohen, S. Gosavi, J. R. Carver, S. E. Wiegers, R. P. Martin, M. H. Picard, R. E. Gerszten, E. F. Halpern, J. Passeri, I. Kuter, and M. Scherrer-Crosbie, ‘‘Early detection and prediction of cardiotoxicity in chemotherapy-treated patients,’’ Amer. J. Cardiol., vol. 107, no. 9, pp. 1375–1380, Mar. 2011
9. “R. Khurshid, M. Awais, and J. Malik, ‘‘Electrophysiology practice in lowand middle-income countries: An updated review on access to care and health delivery,’’ Heart Rhythm O2, vol. 4, no. 1, pp. 69–77, Jan. 2023.
10. M. S. Supriya, L. Yashaswini, and K. Arvind, ‘‘Exploring deep learning approaches for cardiac arrhythmia diagnosis,’’ in Artificial Intelligence in Medicine. CRC Press, 2024, pp. 3–14.
11. Y. Jin, Z. Li, M. Wang, J. Liu, Y. Tian, Y. Liu, X. Wei, L. Zhao, and C. Liu, ‘‘Cardiologist-level interpretable knowledge-fused deep neural network for automatic
12. [ P. K. Sahoo, P. Kanungo, S. Mishra, and B. P. Mohanty, ‘‘Entropy feature and peak-means clustering based slowly moving object detection in head and shoulder video sequences,’’ J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 8, pp. 5296–5304, Sep. 2022.
13. E. A. Sandhya Samant, ‘‘Exploring ECG signal analysis techniques for arrhythmia detection: A review,’’ Int. J. Recent Innov. Trends Comput. Commun., . 4881–4896, Nov. 2023.
14. S. C. Virgeniya and E. Ramaraj, ‘‘A novel gated recurrent unit with electrocardiogram (ECG) signal recognition,’’ Biomed
15. G. Liu, X. Han, L. Tian, W. Zhou, and H. Liu, ‘‘ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features,
16. [Y. Yang, M. Xu, A. Liang, Y. Yin, X. Ma, Y. Gao, and X. Ning, ‘‘A new wearable multichannel magnetocardiogram system with a SERF atomic magnetometer array,’’ Sci. Rep., vol. 11, no. 1, p. 5564, Mar. 2021.
2. G. A. Roth, G. A. Roth, D. Abate, K. H. Abate, S. M. Abay, C. Naghavi, N. Abbasi, H. Abbastabar, F. Abd-Allah, J. Abdela, A. Abdelalim, and I. Abdollahpour
3. Timmis, ‘‘Global burden of cardiovascular disease,’’ Heart, vol. 93, no. 10, p. 1175, 2007.
4. T. J. Thom, ‘‘Stroke mortality trends an international perspective,’’ Ann. Epidemiol., 509–518, Sep. 1993.
5. J. Demirovic Myerburg, ‘‘Epidemiology of sudden coronary death: An overview,’’ Prog. Cardiovascular Diseases, Jul. 1994
6. A. Haluska, S. J. Whistler, R. G. Baker, and R. V. Calfee, ‘‘Implantable cardiac stimulator for detection and treatment of ventricular arrhythmias,’’ U.S. Patent 0 687 5218, Jun. 17, 1986
7. D. H. Bardy, W. J. Rissmann, A. H. Ostroff, P. J. Erlinger, and V. Allavatam, ‘‘Apparatus and method of arrhythmia detection in a subcutaneous implantable cardioverter/defibrillator,’’ Tech. Rep., 2001. [Online]. Available: https://patents.justia.com/patent/6754528
8. H. Sawaya, I. A. Sebag, J. C. Plana, J. L. Januzzi, B. Ky, V. Cohen, S. Gosavi, J. R. Carver, S. E. Wiegers, R. P. Martin, M. H. Picard, R. E. Gerszten, E. F. Halpern, J. Passeri, I. Kuter, and M. Scherrer-Crosbie, ‘‘Early detection and prediction of cardiotoxicity in chemotherapy-treated patients,’’ Amer. J. Cardiol., vol. 107, no. 9, pp. 1375–1380, Mar. 2011
9. “R. Khurshid, M. Awais, and J. Malik, ‘‘Electrophysiology practice in lowand middle-income countries: An updated review on access to care and health delivery,’’ Heart Rhythm O2, vol. 4, no. 1, pp. 69–77, Jan. 2023.
10. M. S. Supriya, L. Yashaswini, and K. Arvind, ‘‘Exploring deep learning approaches for cardiac arrhythmia diagnosis,’’ in Artificial Intelligence in Medicine. CRC Press, 2024, pp. 3–14.
11. Y. Jin, Z. Li, M. Wang, J. Liu, Y. Tian, Y. Liu, X. Wei, L. Zhao, and C. Liu, ‘‘Cardiologist-level interpretable knowledge-fused deep neural network for automatic
12. [ P. K. Sahoo, P. Kanungo, S. Mishra, and B. P. Mohanty, ‘‘Entropy feature and peak-means clustering based slowly moving object detection in head and shoulder video sequences,’’ J. King Saud Univ. - Comput. Inf. Sci., vol. 34, no. 8, pp. 5296–5304, Sep. 2022.
13. E. A. Sandhya Samant, ‘‘Exploring ECG signal analysis techniques for arrhythmia detection: A review,’’ Int. J. Recent Innov. Trends Comput. Commun., . 4881–4896, Nov. 2023.
14. S. C. Virgeniya and E. Ramaraj, ‘‘A novel gated recurrent unit with electrocardiogram (ECG) signal recognition,’’ Biomed
15. G. Liu, X. Han, L. Tian, W. Zhou, and H. Liu, ‘‘ECG quality assessment based on hand-crafted statistics and deep-learned S-transform spectrogram features,
16. [Y. Yang, M. Xu, A. Liang, Y. Yin, X. Ma, Y. Gao, and X. Ning, ‘‘A new wearable multichannel magnetocardiogram system with a SERF atomic magnetometer array,’’ Sci. Rep., vol. 11, no. 1, p. 5564, Mar. 2021.
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