FECG Extraction Based on Least Square Support Vector Machine Combined with FastICA
暂无分享,去创建一个
Qian Liu | Liang Han | Xiu-Juan Pu | An-Yan Jiang | Li-Yu Daisy Liu | Xiu-Juan Pu | Liang Han | An-Yan Jiang
[1] Zheng Wei,et al. Adaptive filtering in phase space for foetal electrocardiogram estimation from an abdominal electrocardiogram signal and a thoracic electrocardiogram signal , 2012 .
[2] Mamun Bin Ibne Reaz,et al. Fetal electrocardiogram extraction and R-peak detection for fetal heart rate monitoring using artificial neural network and Correlation , 2011, The 2011 International Joint Conference on Neural Networks.
[3] Khaled Assaleh,et al. Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems , 2007, IEEE Transactions on Biomedical Engineering.
[4] Te-Won Lee,et al. Learning statistically efficient features for speaker recognition , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[5] Joon-Hyuk Chang,et al. Enhancing support vector machine-based speech/music classification using conditional maximum a posteriori criterion , 2012, IET Signal Process..
[6] Gustavo Camps-Valls,et al. Foetal ECG recovery using dynamic neural networks , 2004, Artif. Intell. Medicine.
[7] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[8] D I Fotiadis,et al. A Non-invasive Methodology for Fetal Monitoring during Pregnancy , 2009, Methods of Information in Medicine.
[9] Reinhold Orglmeister,et al. Blind source separation of real world signals , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[10] P. Ducange,et al. Multi-objective evolutionary design of granular rule-based classifiers , 2016 .
[11] Georg Peters,et al. DCC: a framework for dynamic granular clustering , 2016 .
[12] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[13] Habibollah Haron,et al. Statistical Learning Theory and Support Vector Machines , 2010, 2010 Second International Conference on Computer Research and Development.
[14] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[15] Joon-Hyuk Chang,et al. Statistical model-based voice activity detection using support vector machine , 2009 .
[16] Aapo Hyvärinen,et al. Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.
[17] Rodica Strungaru,et al. Improved fetal ECG extraction by applying adaptive filtering , 2011, 2011 7TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).
[18] Takuya Ito,et al. A Novel Extraction Method of Fetal Electrocardiogram From the Composite Abdominal Signal , 2007, IEEE Transactions on Biomedical Engineering.
[19] Terrence J. Sejnowski,et al. Unsupervised Classification with Non-Gaussian Mixture Models Using ICA , 1998, NIPS.
[20] G. Camps,et al. Methods to evaluate the performance of fetal electrocardiogram extraction algorithms , 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).
[21] Wei Zheng,et al. Noninvasive fetal ECG estimation using adaptive comb filter , 2013, Comput. Methods Programs Biomed..
[22] Yan-jun Zeng,et al. Extraction of fetal electrocardiogram using recursive least squares and normalized least mean squares algorithms , 2011, 2011 3rd International Conference on Advanced Computer Control.
[23] Rik Vullings,et al. Probabilistic Source Separation for Robust Fetal Electrocardiography , 2013, Comput. Math. Methods Medicine.
[24] Johan A. K. Suykens,et al. Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.