ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks

Tanzila Tahsin Mayabee; Kazi Tahsinul Haque; Saadia Binte Alam; Rashedur Rahman; M Ashraful Amin; Syoji Kobashi

doi:10.1007/978-981-19-9483-8_21

Journal Article2023

ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks

Tanzila Tahsin Mayabee, Kazi Tahsinul Haque, Saadia Binte Alam, Rashedur Rahman, M Ashraful Amin, Syoji Kobashi

Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering

Springer Nature Singapore, pp. 243–254, ISBN: 978-981-19-9483-8

DOI: 10.1007/978-981-19-9483-8_21 URL

Keywords

Convolutional neural networkArtificial intelligencePattern recognition (psychology)RGB color modelComputer scienceContinuous wavelet transformTransfer of learningSIGNAL (programming language)Wavelet transformWaveletSpeech recognition

CCDS Authors

Saadia Binte Alam, PhD

Director, MIRA & WiSE Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Md. Rashedur Rahman, D. Eng.

Co-Director, MIRA & NEST Wings

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Prof. M Ashraful Amin, PhD

Founder Director, CCDS
Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

1.Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei. (2009). ImageNet: A large-scale hierarchical image database. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255[10.1109/cvpr.2009.5206848]
2.Ary L. Goldberger, Luı́s A. Nunes Amaral, Leon Glass, Jeffrey M. Hausdorff, Plamen Ch. Ivanov, Roger G. Mark, Joseph E. Mietus, G.B. Moody, Chung‐Kang Peng, H. Eugene Stanley. (2000). PhysioBank, PhysioToolkit, and PhysioNet. Circulation, 101(23), E215–20[10.1161/01.cir.101.23.e215]
3.Kunio Doi. (2007). Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Computerized Medical Imaging and Graphics, 31(4-5), 198–211[10.1016/j.compmedimag.2007.02.002]
4.Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, D. Kreiseler, Fatima I. Lunze, Wojciech Samek, Tobias Schaeffter. (2020). PTB-XL, a large publicly available electrocardiography dataset. Scientific Data, 7(1), 154[10.1038/s41597-020-0495-6]
5.Juri Yanase, Evangelos Triantaphyllou. (2019). A systematic survey of computer-aided diagnosis in medicine: Past and present developments. Expert Systems with Applications, 138, 112821[10.1016/j.eswa.2019.112821]
6.Tao Wang, Changhua Lu, Yining Sun, Mei Yang, Chun Liu, Chunsheng Ou. (2021). Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network. Entropy, 23(1), 119[10.3390/e23010119]
7.Abdelrahman Shaker, Manal Tantawi, Howida A. Shedeed, Mohamed F. Tolba. (2020). Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks. IEEE Access, 8, 35592–35605[10.1109/access.2020.2974712]
8.Kuba Weimann, Tim Conrad. (2021). Transfer learning for ECG classification. Scientific Reports, 11(1), 5251[10.1038/s41598-021-84374-8]
9.Pankaj Jadhav, Gaurav Rajguru, Debabrata Datta, Siddhartha Mukhopadhyay. (2020). Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network. Journal of Applied Biomedicine, 40(1), 494–504[10.1016/j.bbe.2020.01.010]
10.Mengze Wu, Yongdi Lu, Wenli Yang, Shen Yuong Wong. (2021). A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network. Frontiers in Computational Neuroscience, 14, 564015[10.3389/fncom.2020.564015]
11.Sandra Śmigiel, Krzysztof Pałczyński, Damian Ledziński. (2021). ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset. Entropy, 23(9), 1121[10.3390/e23091121]
12.Xuexiang Xu, Hongxing Liu. (2020). ECG Heartbeat Classification Using Convolutional Neural Networks. IEEE Access, 8, 8614–8619[10.1109/access.2020.2964749]
13.Mohamad M. Al Rahhal, Yakoub Bazi, Mansour Al Zuair, Esam Othman, Bilel Benjdira. (2018). Convolutional Neural Networks for Electrocardiogram Classification. Journal of Medical and Biological Engineering, 38(6), 1014–1025[10.1007/s40846-018-0389-7]
14.Zhanglu Yan, Jun Zhou, Weng‐Fai Wong. (2020). Energy efficient ECG classification with spiking neural network. Biomedical Signal Processing and Control, 63, 102170[10.1016/j.bspc.2020.102170]
15.Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj. (2021). Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks. IEEE Transactions on Biomedical Engineering, 69(5), 1788–1801[10.1109/tbme.2021.3135622]
16.Degaga Wolde Feyisa, Taye Girma Debelee, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede, Tariku Fekadu Assore. (2022). Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification. Computational Intelligence and Neuroscience, 2022, 1–14[10.1155/2022/8413294]
17.Gene R. Quinn, Darrell Ranum, Ellen Song, Margarita Linets, Carol Keohane, Heather Riah, Penny Greenberg. (2017). Missed Diagnosis of Cardiovascular Disease in Outpatient General Medicine: Insights from Malpractice Claims Data. The Joint Commission Journal on Quality and Patient Safety, 43(10), 508–516[10.1016/j.jcjq.2017.05.001]

← All publications

CCDS Authors

Saadia Binte Alam, PhD

Director, MIRA & WiSE Wings

Associate Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Md. Rashedur Rahman, D. Eng.

Co-Director, MIRA & NEST Wings

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Prof. M Ashraful Amin, PhD

Founder Director, CCDS
Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

1.Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei. (2009). ImageNet: A large-scale hierarchical image database. 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248–255[10.1109/cvpr.2009.5206848]

2.Ary L. Goldberger, Luı́s A. Nunes Amaral, Leon Glass, Jeffrey M. Hausdorff, Plamen Ch. Ivanov, Roger G. Mark, Joseph E. Mietus, G.B. Moody, Chung‐Kang Peng, H. Eugene Stanley. (2000). PhysioBank, PhysioToolkit, and PhysioNet. Circulation, 101(23), E215–20[10.1161/01.cir.101.23.e215]

3.Kunio Doi. (2007). Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Computerized Medical Imaging and Graphics, 31(4-5), 198–211[10.1016/j.compmedimag.2007.02.002]

4.Patrick Wagner, Nils Strodthoff, Ralf-Dieter Bousseljot, D. Kreiseler, Fatima I. Lunze, Wojciech Samek, Tobias Schaeffter. (2020). PTB-XL, a large publicly available electrocardiography dataset. Scientific Data, 7(1), 154[10.1038/s41597-020-0495-6]

5.Juri Yanase, Evangelos Triantaphyllou. (2019). A systematic survey of computer-aided diagnosis in medicine: Past and present developments. Expert Systems with Applications, 138, 112821[10.1016/j.eswa.2019.112821]

6.Tao Wang, Changhua Lu, Yining Sun, Mei Yang, Chun Liu, Chunsheng Ou. (2021). Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network. Entropy, 23(1), 119[10.3390/e23010119]

7.Abdelrahman Shaker, Manal Tantawi, Howida A. Shedeed, Mohamed F. Tolba. (2020). Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks. IEEE Access, 8, 35592–35605[10.1109/access.2020.2974712]

8.Kuba Weimann, Tim Conrad. (2021). Transfer learning for ECG classification. Scientific Reports, 11(1), 5251[10.1038/s41598-021-84374-8]

9.Pankaj Jadhav, Gaurav Rajguru, Debabrata Datta, Siddhartha Mukhopadhyay. (2020). Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network. Journal of Applied Biomedicine, 40(1), 494–504[10.1016/j.bbe.2020.01.010]

10.Mengze Wu, Yongdi Lu, Wenli Yang, Shen Yuong Wong. (2021). A Study on Arrhythmia via ECG Signal Classification Using the Convolutional Neural Network. Frontiers in Computational Neuroscience, 14, 564015[10.3389/fncom.2020.564015]

11.Sandra Śmigiel, Krzysztof Pałczyński, Damian Ledziński. (2021). ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset. Entropy, 23(9), 1121[10.3390/e23091121]

12.Xuexiang Xu, Hongxing Liu. (2020). ECG Heartbeat Classification Using Convolutional Neural Networks. IEEE Access, 8, 8614–8619[10.1109/access.2020.2964749]

13.Mohamad M. Al Rahhal, Yakoub Bazi, Mansour Al Zuair, Esam Othman, Bilel Benjdira. (2018). Convolutional Neural Networks for Electrocardiogram Classification. Journal of Medical and Biological Engineering, 38(6), 1014–1025[10.1007/s40846-018-0389-7]

14.Zhanglu Yan, Jun Zhou, Weng‐Fai Wong. (2020). Energy efficient ECG classification with spiking neural network. Biomedical Signal Processing and Control, 63, 102170[10.1016/j.bspc.2020.102170]

15.Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj. (2021). Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks. IEEE Transactions on Biomedical Engineering, 69(5), 1788–1801[10.1109/tbme.2021.3135622]

16.Degaga Wolde Feyisa, Taye Girma Debelee, Yehualashet Megersa Ayano, Samuel Rahimeto Kebede, Tariku Fekadu Assore. (2022). Lightweight Multireceptive Field CNN for 12-Lead ECG Signal Classification. Computational Intelligence and Neuroscience, 2022, 1–14[10.1155/2022/8413294]

17.Gene R. Quinn, Darrell Ranum, Ellen Song, Margarita Linets, Carol Keohane, Heather Riah, Penny Greenberg. (2017). Missed Diagnosis of Cardiovascular Disease in Outpatient General Medicine: Insights from Malpractice Claims Data. The Joint Commission Journal on Quality and Patient Safety, 43(10), 508–516[10.1016/j.jcjq.2017.05.001]