An Improved Sliding Window Area Method for T Wave Detection
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Shoushui Wei | Lei Chen | Chengyu Liu | Feifei Liu | Haixia Shang | Dingwen Wei | Chengyu Liu | Shoushui Wei | Lei Chen | Haixia Shang | Feifei Liu | Dingwen Wei
[1] Recommendations for measurement standards in quantitative electrocardiography. The CSE Working Party. , 1985, European heart journal.
[2] Xianglin Yang,et al. A ROBUST AND EFFICIENT ALGORITHM FOR ST–T COMPLEX DETECTION IN ELECTROCARDIOGRAMS , 2011 .
[3] Pablo Laguna,et al. A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.
[4] W. Zareba,et al. T-wave morphology can distinguish healthy controls from LQTS patients , 2016, Physiological measurement.
[5] Senén Barro,et al. A new approach for TU complex characterization , 2000, IEEE Transactions on Biomedical Engineering.
[6] Anil K. Jain. Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..
[7] Qinghua Zhang,et al. An algorithm for QRS onset and offset detection in single lead electrocardiogram records , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[8] Nikolaos M. Avouris,et al. EVALUATION OF CLASSIFIERS FOR AN UNEVEN CLASS DISTRIBUTION PROBLEM , 2006, Appl. Artif. Intell..
[9] R. Orglmeister,et al. The principles of software QRS detection , 2002, IEEE Engineering in Medicine and Biology Magazine.
[10] Henggui Zhang,et al. A multi-step method with signal quality assessment and fine-tuning procedure to locate maternal and fetal QRS complexes from abdominal ECG recordings , 2014, Physiological measurement.
[11] Qinghua Zhang,et al. An Algorithm for Robust and Efficient Location of T-Wave Ends in Electrocardiograms , 2006, IEEE Transactions on Biomedical Engineering.
[12] Shoushui Wei,et al. Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases , 2018, Journal of healthcare engineering.
[13] Mohammed Ismail,et al. Adaptive technique for P and T wave delineation in electrocardiogram signals , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[14] Dilbag Singh,et al. K-nearest neighbour-based algorithm for P- and T-waves detection and delineation , 2014, Journal of medical engineering & technology.
[15] 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.
[16] Jean-Philippe Couderc,et al. Cloud‐Based Privacy‐Preserving Remote ECG Monitoring and Surveillance , 2015, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[17] Sabine Van Huffel,et al. Neural network approach for T-wave end detection: A comparison of architectures , 2015, 2015 Computing in Cardiology Conference (CinC).
[18] Eric J. Topol,et al. The big medical data miss: challenges in establishing an open medical resource , 2015, Nature Reviews Genetics.
[19] D. Glancy,et al. ST-segment depression and T-wave inversion: Classification, differential diagnosis, and caveats , 2011, Cleveland Clinic Journal of Medicine.
[20] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[21] Zhitao Lin,et al. Automatic QRS complex detection using two-level convolutional neural network , 2018, BioMedical Engineering OnLine.
[22] Ali Sadr,et al. A Real-Time Algorithm to Detect Inverted and Symmetrical T-Wave , 2009, 2009 Second International Conference on Computer and Electrical Engineering.
[23] Chengyu Liu,et al. Rule-Based Method for Morphological Classification of ST Segment in ECG Signals , 2015 .
[24] 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.
[25] M R Homaeinezhad,et al. A robust wavelet-based multi-lead Electrocardiogram delineation algorithm. , 2009, Medical engineering & physics.
[26] 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.
[27] Christian Jutten,et al. ECG segmentation and fiducial point extraction using multi hidden Markov model , 2016, Comput. Biol. Medicine.
[28] P. C. Cortez,et al. An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms. , 2012, Medical engineering & physics.
[29] G.G. Cano,et al. An approach to cardiac arrhythmia analysis using hidden Markov models , 1990, IEEE Transactions on Biomedical Engineering.
[30] P. C. Cortez,et al. New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model. , 2013, Medical engineering & physics.
[31] Sabine Van Huffel,et al. T-wave end detection using neural networks and Support Vector Machines , 2018, Comput. Biol. Medicine.
[33] W.J. Tompkins,et al. Neural-network-based adaptive matched filtering for QRS detection , 1992, IEEE Transactions on Biomedical Engineering.
[34] 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.
[35] Aldebaro Klautau,et al. New approach for T-wave end detection on electrocardiogram: Performance in noisy conditions , 2011, Biomedical engineering online.
[36] A. A. Armoundas,et al. ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations , 2016, Physiological measurement.
[37] G. Moody,et al. The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography. , 1992, European heart journal.
[38] Tuomas V Kenttä,et al. Electrocardiographic T Wave Abnormalities and the Risk of Sudden Cardiac Death: The Finnish Perspective , 2015, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[39] Vinod Kumar,et al. Artificial neural network based wave complex detection in electrocardiograms , 1997, Int. J. Syst. Sci..
[40] Sarabjeet Singh Mehta,et al. Detection and delineation of P and T waves in 12-lead electrocardiograms , 2009, Expert Syst. J. Knowl. Eng..
[41] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..