참고문헌 (18)

1. 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. 

   원문보기 상세보기

2. R. J. Huszar, Basic dysrhythmias: Interpretation and management, Mosby Jems/Elsevier, Maryland Heights, MO, 2007. 

3. 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. 

   상세보기

4. 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. 

   상세보기

5. 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. 

   상세보기

6. 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. 

   상세보기

7. 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. 

   원문보기 상세보기

8. 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. 

   상세보기

9. 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. 

10. 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. 

11. 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. 

12. J. Redmon. Darknet: Open Source Neural Networks in C [Internet]. Available: http://pjreddie.com/darknet/. 

13. 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. 

14. 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. 

15. 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. 

16. 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. 

    상세보기

17. 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. 

18. 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. 

저자의 다른 논문 :

박대진 (38) 이승민 (12)