ECG segmentation and fiducial point extraction using multi hidden Markov model

[1]  Moyses Szklo,et al.  Blood Lipids and the Incidence of Atrial Fibrillation: The Multi‐Ethnic Study of Atherosclerosis and the Framingham Heart Study , 2014, Journal of the American Heart Association.

[2]  Pablo Laguna,et al.  A Novel Method to Capture the Onset of Dynamic Electrocardiographic Ischemic Changes and its Implications to Arrhythmia Susceptibility , 2014, Journal of the American Heart Association.

[3]  Mohammad R. Homaeinezhad,et al.  Real-time electrocardiogram P-QRS-T detection-delineation algorithm based on quality-supported analysis of characteristic templates , 2014, Comput. Biol. Medicine.

[4]  Marimuthu Palaniswami,et al.  Automated Estimation of Fetal Cardiac Timing Events From Doppler Ultrasound Signal Using Hybrid Models , 2014, IEEE Journal of Biomedical and Health Informatics.

[5]  Germán Castellanos-Domínguez,et al.  Building a Cepstrum-HMM kernel for Apnea identification , 2014, Neurocomputing.

[6]  U. Rajendra Acharya,et al.  Current methods in electrocardiogram characterization , 2014, Comput. Biol. Medicine.

[7]  Yang Li,et al.  A Novel Approach to ECG Classification Based upon Two-Layered HMMs in Body Sensor Networks , 2014, Sensors.

[8]  Koushik Maharatna,et al.  An automated algorithm for online detection of fragmented QRS and identification of its various morphologies , 2013, Journal of The Royal Society Interface.

[9]  Christian Jutten,et al.  ECG fiducial points extraction by extended Kalman filtering , 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

[10]  Christian Jutten,et al.  Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[11]  Amit Acharyya,et al.  A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications , 2013, IEEE Journal of Biomedical and Health Informatics.

[12]  G. Carrault,et al.  Comparing hidden Markov model and hidden semi-Markov model based detectors of apnea-bradycardia episodes in preterm infants , 2012, 2012 Computing in Cardiology.

[13]  Alfredo I. Hernández,et al.  On-line apnea-bradycardia detection using hidden semi-Markov models , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  W. Pedrycz,et al.  ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence , 2011 .

[15]  Jean-Yves Tourneret,et al.  P and twave delineation andwaveform estimation in ECG signals using a block gibbs sampler , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[16]  Douglas P. Zipes,et al.  Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 2-Volume Set, 10th Edition , 2011 .

[17]  Jean-Yves Tourneret,et al.  P- and T-Wave Delineation in ECG Signals Using a Bayesian Approach and a Partially Collapsed Gibbs Sampler , 2010, IEEE Transactions on Biomedical Engineering.

[18]  J. Struijk,et al.  Segmentation of heart sound recordings by a duration-dependent hidden Markov model , 2010, Physiological measurement.

[19]  Guy Carrault,et al.  Improving ECG Beats Delineation With an Evolutionary Optimization Process , 2010, IEEE Transactions on Biomedical Engineering.

[20]  M B Shamsollahi,et al.  A model-based Bayesian framework for ECG beat segmentation , 2009, Physiological measurement.

[21]  Bernadette Dorizzi,et al.  Incremental HMM training applied to ECG signal analysis , 2008, Comput. Biol. Medicine.

[22]  Jindong Tan,et al.  ECG segmentation in a body sensor network using Hidden Markov Models , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[23]  K. Ouni,et al.  An Approach Combining Wavelet Transform and Hidden Markov Models for ECG Segmentation , 2008, 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications.

[24]  Christian Jutten,et al.  A Nonlinear Bayesian Filtering Framework for ECG Denoising , 2007, IEEE Transactions on Biomedical Engineering.

[25]  François Charpillet,et al.  A Multi-HMM Approach to ECG Segmentation , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

[26]  Bernadette Dorizzi,et al.  ECG signal analysis through hidden Markov models , 2006, IEEE Transactions on Biomedical Engineering.

[27]  Pablo Laguna,et al.  A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.

[28]  R. Orglmeister,et al.  The principles of software QRS detection , 2002, IEEE Engineering in Medicine and Biology Magazine.

[29]  J. Cavanaugh A large-sample model selection criterion based on Kullback's symmetric divergence , 1999 .

[30]  Pablo Laguna,et al.  A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG , 1997, Computers in Cardiology 1997.

[31]  Ron Kohavi,et al.  A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.

[32]  P Caminal,et al.  Automatic detection of wave boundaries in multilead ECG signals: validation with the CSE database. , 1994, Computers and biomedical research, an international journal.

[33]  J. Gajewski,et al.  Immunologically Mediated Pulmonary Diseases , 1992, Annals of Internal Medicine.

[34]  G.G. Cano,et al.  An approach to cardiac arrhythmia analysis using hidden Markov models , 1990, IEEE Transactions on Biomedical Engineering.

[35]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[36]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[37]  M Demeester,et al.  Assessment of the performance of electrocardiographic computer programs with the use of a reference data base. , 1985, Circulation.

[38]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[39]  H. B. Mann,et al.  On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[40]  Amit Kumar,et al.  Ischemia detection using Isoelectric Energy Function , 2016, Comput. Biol. Medicine.

[41]  Mohammad R. Homaeinezhad,et al.  A correlation analysis-based detection and delineation of ECG characteristic events using template waveforms extracted by ensemble averaging of clustered heart cycles , 2014, Comput. Biol. Medicine.

[42]  Amit Acharyya,et al.  Development of an Automated Updated Selvester QRS Scoring System Using SWT-Based QRS Fractionation Detection and Classification , 2014, IEEE Journal of Biomedical and Health Informatics.

[43]  Alfredo I. Hernández,et al.  Online apnea–bradycardia detection based on hidden semi-Markov models , 2014, Medical & Biological Engineering & Computing.

[44]  Madhuchhanda Mitra,et al.  Empirical mode decomposition based ECG enhancement and QRS detection , 2012, Comput. Biol. Medicine.

[45]  Miguel Altuve,et al.  Evolutionary Optimization of ECG Feature Extraction Methods: Applications to the Monitoring of Adult Myocardial Ischemia and Neonatal Apnea Bradycardia Events , 2012 .

[46]  P. Libby,et al.  Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine, 2-Volume Set, 9th Edition Expert Consult Premium Edition €“ Enhanced Online Features , 2011 .

[47]  Sarabjeet Singh Mehta,et al.  Combined entropy based method for detection of QRS complexes in 12-lead electrocardiogram using SVM , 2008, Comput. Biol. Medicine.

[48]  Jérôme Boudy,et al.  Combining Wavelet Transform and Hidden Markov Models for ECG Segmentation , 2007, EURASIP J. Adv. Signal Process..

[49]  Nicholas Peter Hughes,et al.  Probabilistic Models for Automated ECG Interval Analysis , 2006 .

[50]  C. Li,et al.  Detection of ECG characteristic points using wavelet transforms. , 1995, IEEE transactions on bio-medical engineering.

[51]  Jess Thompson,et al.  Toolbox , 1994, IEEE Softw..

[52]  L. Rabiner,et al.  An introduction to hidden Markov models , 1986, IEEE ASSP Magazine.