ECG Monitoring: Present Status and Future Trend
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Saurabh Pal | S. Pal | S. Pal
[1] Rangaraj M. Rangayyan,et al. Biomedical Signal Analysis: Rangayyan/Biomedical , 2015 .
[2] David L. Donoho,et al. De-noising by soft-thresholding , 1995, IEEE Trans. Inf. Theory.
[3] G. Clifford,et al. Clinically accurate fetal ECG parameters acquired from maternal abdominal sensors. , 2011, American journal of obstetrics and gynecology.
[4] Giuseppe Iannaccone,et al. Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring , 2016, IEEE Sensors Journal.
[5] M Mitra,et al. Study of atrial activities for abnormality detection by phase rectified signal averaging technique , 2015, Journal of medical engineering & technology.
[6] Willis J. Tompkins,et al. A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.
[7] Raúl Alcaraz,et al. Classification of Paroxysmal and Persistent Atrial Fibrillation in Ambulatory ECG Recordings , 2011, IEEE Transactions on Biomedical Engineering.
[8] Manuel Blanco-Velasco,et al. ECG signal denoising and baseline wander correction based on the empirical mode decomposition , 2008, Comput. Biol. Medicine.
[9] Steffen Leonhardt,et al. Automatic Detection of Atrial Fibrillation in Cardiac Vibration Signals , 2013, IEEE Journal of Biomedical and Health Informatics.
[10] Ki H. Chon,et al. Time-Varying Coherence Function for Atrial Fibrillation Detection , 2013, IEEE Transactions on Biomedical Engineering.
[11] Madhuchhanda Mitra,et al. Characterizing Atrial Fibrillation in Empirical Mode Decomposition Domain , 2016 .
[12] Lionel Tarassenko,et al. Application of independent component analysis in removing artefacts from the electrocardiogram , 2006, Neural Computing & Applications.
[13] P.S. Hamilton,et al. A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG , 1996, IEEE Transactions on Biomedical Engineering.
[14] Mohd. Alauddin Mohd. Ali,et al. Real-time signal processing for fetal heart rate monitoring , 2003, IEEE Transactions on Biomedical Engineering.
[15] Wei Xiang,et al. An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare , 2016, Journal of Medical Systems.
[16] K. Egiazarian,et al. Suppression of electromyogram interference on the electrocardiogram by transform domain denoising , 2001, Medical and Biological Engineering and Computing.
[17] S. Pei,et al. Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression. , 1995, IEEE transactions on bio-medical engineering.
[18] Truong Q. Nguyen,et al. Comparing stress ECG enhancement algorithms , 1996 .
[19] Jacek M. Leski. Robust weighted averaging [of biomedical signals] , 2002, IEEE Transactions on Biomedical Engineering.
[20] Jacek M. Leski,et al. ECG baseline wander and powerline interference reduction using nonlinear filter bank , 2005, Signal Process..
[21] Madhuchhanda Mitra,et al. Empirical mode decomposition based ECG enhancement and QRS detection , 2012, Comput. Biol. Medicine.
[22] Ki H. Chon,et al. Automatic Motion and Noise Artifact Detection in Holter ECG Data Using Empirical Mode Decomposition and Statistical Approaches , 2012, IEEE Transactions on Biomedical Engineering.
[23] C. Li,et al. Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.
[24] Alan Murray,et al. Estimation of the ECG signal spectrum during ventricular fibrillation using the fast Fourier transform and maximum entropy methods , 1993, Proceedings of Computers in Cardiology Conference.
[25] Refet Firat Yazicioglu,et al. A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications , 2011, IEEE Transactions on Biomedical Circuits and Systems.
[26] Z. Alfirevic,et al. Continuous cardiotocography (CTG) as a form of electronic fetal monitoring (EFM) for fetal assessment during labour. , 2017, The Cochrane database of systematic reviews.
[27] Charles K. Chui,et al. An Introduction to Wavelets , 1992 .
[28] James McNames,et al. Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes , 2004, IEEE Transactions on Biomedical Engineering.
[29] E. Nemati,et al. A wireless wearable ECG sensor for long-term applications , 2012, IEEE Communications Magazine.
[30] Madhuchhanda Mitra,et al. Imposed target based modification of Taguchi method for feature optimisation with application in arrhythmia beat detection , 2016, Expert Syst. Appl..
[31] J S Paul,et al. Data processing of stress ECGs using discrete cosine transform. , 1998, Computers in biology and medicine.
[32] M. Mitra,et al. Detection of ECG characteristic points using Multiresolution Wavelet Analysis based Selective Coefficient Method , 2010 .
[33] L. Sörnmo,et al. Time-varying digital filtering of ECG baseline wander , 1993, Medical and Biological Engineering and Computing.
[34] C D McManus,et al. Characterization and elimination of AC noise in electrocardiograms: a comparison of digital filtering methods. , 1993, Computers and biomedical research, an international journal.
[35] Ergun Erçelebi,et al. Electrocardiogram signals de-noising using lifting-based discrete wavelet transform , 2004, Comput. Biol. Medicine.
[36] Chao Huang,et al. A Novel Method for Detection of the Transition Between Atrial Fibrillation and Sinus Rhythm , 2011, IEEE Transactions on Biomedical Engineering.
[37] Allan Kardec Barros,et al. independent , 2006, Gumbo Ya Ya.
[38] Vicente Zarzoso,et al. Spatial Variability of the 12-Lead Surface ECG as a Tool for Noninvasive Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation , 2013, IEEE Transactions on Biomedical Engineering.