Design of a Low-Complexity Real-Time Arrhythmia Detection System
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Chih-Hung Lin | Kuang-Hao Lin | Robert Chen-Hao Chang | Hung-Lieh Chen | Kuang-Hao Lin | Chih-Hung Lin | R. Chang | Hung-Lieh Chen
[1] D. Kumar,et al. of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey Wavelets for QRS Detection , 2022 .
[2] W.J. Tompkins,et al. Neural-network-based adaptive matched filtering for QRS detection , 1992, IEEE Transactions on Biomedical Engineering.
[3] C. Li,et al. Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.
[4] H. T. Nagle,et al. A comparison of the noise sensitivity of nine QRS detection algorithms , 1990, IEEE Transactions on Biomedical Engineering.
[5] Xianfeng Ding,et al. [QRS complexes detection based on Mexican-hat wavelet]. , 2006, Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi.
[6] Yongting Li,et al. A robust R-Wave detection algorithm in ECG signal , 2011, Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE).
[7] Willis J. Tompkins,et al. A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.
[8] M. Reddy,et al. Automatic detection of PVCs using autoregressive models , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).
[9] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[10] Max Q.-H. Meng,et al. An algorithm of premature contraction detection based on wavelet method , 2010, The 2010 IEEE International Conference on Information and Automation.
[11] Liang-Yu Shyu,et al. Using wavelet transform and fuzzy neural network for VPC detection from the holter ECG , 2004, IEEE Transactions on Biomedical Engineering.
[12] W J Tompkins,et al. Applications of artificial neural networks for ECG signal detection and classification. , 1993, Journal of electrocardiology.
[13] G.B. Moody,et al. The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.
[14] C. Chiu,et al. USING CORRELATION COEFFICIENT IN ECG WAVEFORM FOR ARRHYTHMIA DETECTION , 2005 .
[15] Jonathan B. Mark,et al. Atlas of Cardiovascular Monitoring , 1997 .
[16] Joon S. Lim,et al. Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System , 2009, IEEE Transactions on Neural Networks.
[17] Manabendra Bhuyan,et al. Wavelet and energy based approach for PVC detection , 2009, 2009 International Conference on Emerging Trends in Electronic and Photonic Devices & Systems.
[18] Filomena O. Soares,et al. Cardiac arrhythmia classification using wavelets and hidden markov models – a comparative approach , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[19] Shamsun Nahar,et al. Automatic detection of premature ventricular contraction beat using morphological transformation and cross-correlation , 2009, 2009 3rd International Conference on Signal Processing and Communication Systems.
[20] Aydin Akan,et al. Detection of some heart diseases by the analysis of ECG signals , 2010, 2010 IEEE 18th Signal Processing and Communications Applications Conference.
[21] Bernadette Dorizzi,et al. ECG signal analysis through hidden Markov models , 2006, IEEE Transactions on Biomedical Engineering.
[22] Chih-Hung Lin,et al. High-Precision Real-Time Premature Ventricular Contraction (PVC) Detection System Based on Wavelet Transform , 2013, J. Signal Process. Syst..
[23] P. Laguna,et al. Evaluation of a wavelet-based ECG waveform detector on the QT database , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).
[24] S.M. Blanchard,et al. The effect of light and dark periods on heart rate and heart rate variability in male broilers , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).