참고문헌
- A. D. C. Chan, M. M. Hamdy, A. Badre, and V. Badee, "Wavelet distance measure for person identification using electrocardiograms," IEEE Trans. Instrum. Meas., vol. 57, no. 2, Feb. 2008, pp. 248-253. https://doi.org/10.1109/TIM.2007.909996
- S. Chauhan, A. S. Arora, and A. Kaul, "A survey of emerging biometric modalites," Procedia Comput. Sci., vol. 2, 2010, pp. 213-218. https://doi.org/10.1016/j.procs.2010.11.027
- G. Wubbeler, M. Stavridis, D. Kreiseler, R.-D. Bousseljot, and C. Elster, "Verification of humans using the electrocardiogram," Pattern Recognit.Lett., vol. 28, 2007, pp. 1172-1175. https://doi.org/10.1016/j.patrec.2007.01.014
- S. A. Israel, J. M. Irvine, A. Cheng, M. D. Wiederhold, and B. K. Wiederhold, "ECG to identify individuals," Pattern Recognit., vol. 38, no. 1, 2005, pp. 133-142. https://doi.org/10.1016/j.patcog.2004.05.014
- S. Osowski and T. H. Linh, "ECG beatrecognition using fuzzy hybrid neural network," IEEE Trans. on Biomedical Engineering, Vol. 48, No. 4, 2001, pp. 1265-1271. https://doi.org/10.1109/10.959322
- Erik Zellmer, Fei Shang, Hao Zhang "Highly Accurate ECG Beat Classfication based on Continuous Wavelet Transformation and Multiple Support Vector Machine Classifiers, " Biomedical Engineering and Informatics Conference MMEI, 2009, pp. 1-5.
- Ince, T., Kiranyaz, S., Gabbouj, M, "Automated patient-specific classification of premature ventricular contractions," Proc. 30th Int. Conf. IEEE EMBS, 2008, pp. 5474-5477.
- Shyu, L.Y., Wu, Y.H., Hu, W, "Using wavelet transform and fuzzy neural network for VPC detection from the holter ECG," IEEE Trans. Biomed. Eng., 51 (7), 2004, pp. 1269-1273. https://doi.org/10.1109/TBME.2004.824131
- Melgani, F., Bazi, Y, "Detecting premature ventricular contractions in ECG signals with Gaussian processes," Comput. Cardiol., 35, 2008, pp. 237-240.
- Sayadi, O., Mohammad, B., Shamsollahi, G., Clifford, D, "Robust detection of premature ventricular contractions using a wave-based Bayesian framework," IEEE Trans. Biomed. Eng., 57 (2), 2010, pp. 353-362. https://doi.org/10.1109/TBME.2009.2031243
- 조익성 외 3인, "효율적인 QRS 검출을 위한 형태연산 기반의 기저선 잡음 제거 기법, " 한국 정보통신학회 논문지, 제 17권 1호, 2013년 1월, pp.166-174.
- I. S. Cho, H. S.Kwon, J.O. Yun, "Detection of QRS Feature Based on Phase Transition Tracking for Premature Ventricular Contraction Classification," Journal of KIICE, vol. 20, no. 2, February 2016, pp. 427-436.
피인용 문헌
- IoT 환경에서 최적 R파 검출 및 최소 특징점 추출을 통한 향상된 PVC 분류방법 vol.13, pp.4, 2016, https://doi.org/10.17662/ksdim.2017.13.4.091