Acknowledgement
This study was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1A6A1A03 025109, 15%, NRF-2020R1I1A1A01072343, 15%), and Daegu Science High School 2nd year self-research program (50%). This work was partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2021-0-00944, Metamorphic approach of unstructured validation/verification for analyzing binary code, 20%). These authors J. Bae, M. Kwak, and K. Noh are equally contributed.
References
- S. Kim and S. Shin, "Development of Mobile Healthcare System Using ECG Measurement," Journal of the Korea Institute of Information and Communication Engineering, vol. 18, no. 8, pp. 2008-2016, Aug. 2014. https://doi.org/10.6109/JKIICE.2014.18.8.2008
- R. J. Huszar, Basic dysrhythmias: Interpretation and management, Mosby Jems/Elsevier, Maryland Heights, MO, 2007.
- M. Merone, P. Soda, M. Sansone, and C. Sansone, "ECG databases for biometric systems: A systematic review," Expert Systems with Applications, vol. 67, pp. 189-202, Jan. 2017. https://doi.org/10.1016/j.eswa.2016.09.030
- F. A. Elhaj, N. Salim, A. R. Harris, T. T. Swee, and T. Ahmed, "Arrhythmia recognition and classification using combined linear and nonlinear features of ecg signals," Computer Methods and Programs in Biomedicine, vol. 127, pp. 52-63, Apr. 2016. https://doi.org/10.1016/j.cmpb.2015.12.024
- G. M. Friesen, T. C. Jannett, M. A. Jadallah, S. L. Yates, S. R. Quint, and H. T. Nagle, "A comparison of the noise sensitivity of nine QRS detection algorithms," in IEEE Transactions on Biomedical Engineering, vol. 37, no. 1, pp. 85-98, Jan. 1990. https://doi.org/10.1109/10.43620
- S. K. Berkaya, A. K. Uysal, E. S. Gunal, S. Ergin, S. Gunal, and M. B. Gulmezoglu, "A survey on ecg analysis," Biomedical Signal Processing and Control, vol. 43, pp. 216-235, May. 2018. https://doi.org/10.1016/j.bspc.2018.03.003
- I. Cho and H. Kwon, "Optimal Threshold Setting Method for R Wave Detection According to The Sampling Frequency of ECG Signals," Journal of the Korea Institute of Information and Communication Engineering, vol. 21, no. 7, pp. 1420-1428, Jul. 2017. https://doi.org/10.6109/JKIICE.2017.21.7.1420
- J. Pan and W. J. Tompkins, "A Real-Time QRS Detection Algorithm," in IEEE Transactions on Biomedical Engineering, vol. BME-32, no. 3, pp. 230-236, Mar. 1985. https://doi.org/10.1109/TBME.1985.325532
- AAMI, "Testing and Reporting Performance Results of Cardiac Rhythm and ST-segment Measurement Algorithms," ANSI/AAMI, Association for the Advancement of Medical Instrumentation and American National Standards Institute, Arlington, VA, USA, 1999.
- C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V, Vanhoucke, and A. Rabinovich, "Going deeper with convolutions," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-9, 2015.
- K. He, X. Zhang, S. Ren, and J. Sun, "Deep Residual Learning for Image Recognition," in Proceedings of the IEEE conference on computer vision and pattern recognition, Las Vegas, NV, pp. 770-778, 2016.
- J. Redmon. Darknet: Open Source Neural Networks in C [Internet]. Available: http://pjreddie.com/darknet/.
- X. Hua, J. Han, C. Zhao, H. Tang, Z. He, Q. Chen, S. Tang, J. Tang, and W. Zhou, "A novel method for ECG signal classification via one-dimensional convolutional neural network," Multimedia Systems, pp. 1-13, Nov. 2020.
- C. Sarvan and N. Ozkurt, "ECG Beat Arrhythmia Classification by using 1-D CNN in case of Class Imbalance," 2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey, pp. 1-4, 2019.
- S. Lee and D. Park, "A real-time abnormal beat detection method using template cluster for ECG diagnosis on IoT devices," Human-centric Computing and Information Sciences, vol. 11, no. 4, pp. 1-17, Jan. 2021.
- S. Lee and D. Park, "Efficient Template Cluster Generation for Real-Time Abnormal Beat Detection in Lightweight Embedded ECG Acquisition Devices," in IEEE Access, vol. 9, pp. 70596-70605, May. 2021. https://doi.org/10.1109/ACCESS.2021.3077628
- S. Lee, K. H. Park, and D. Park, "Communication-Power Overhead Reduction Method Using Template-Based Linear Approximation in Lightweight ECG Measurement Embedded Device," Journal of Embedded Systems and Applications, vol. 15, no. 5, pp. 205-214, Oct. 2020.
- G. B. Moody and R. G. Mark, "The MIT-BIH arrhythmia database on CD-ROM and software for use with it," Proceedings Computers in Cardiology, Chicago, IL, pp. 185-188, 1990.