Arrhythmia identification and classification using wavelet centered methodology in ECG signals

[1]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  S.N. Tandon,et al.  Using wavelet transforms for ECG characterization. An on-line digital signal processing system , 1997, IEEE Engineering in Medicine and Biology Magazine.

[3]  G. Boudreaux-Bartels,et al.  Wavelet transform-based QRS complex detector , 1999, IEEE Transactions on Biomedical Engineering.

[4]  J. N. Watson,et al.  Evaluating arrhythmias in ECG signals using wavelet transforms , 2000, IEEE Engineering in Medicine and Biology Magazine.

[5]  William A. Pearlman,et al.  Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm , 2000, IEEE Transactions on Biomedical Engineering.

[6]  G.B. Moody,et al.  The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.

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

[8]  Philip de Chazal,et al.  Automatic classification of heartbeats using ECG morphology and heartbeat interval features , 2004, IEEE Transactions on Biomedical Engineering.

[9]  Paul S Addison,et al.  Wavelet transforms and the ECG: a review , 2005, Physiological measurement.

[10]  Yüksel Özbay,et al.  Comparison of FCM, PCA and WT techniques for classification ECG arrhythmias using artificial neural network , 2007, Expert Syst. Appl..

[11]  A. Josko Discrete Wavelet Transform In Automatic ECG Signal Analysis , 2007, 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007.

[12]  Seyed Kamaledin Setarehdan,et al.  Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal , 2008, Artif. Intell. Medicine.

[13]  Yusen Wei,et al.  New Threshold and Shrinkage Function for ECG Signal Denoising Based on Wavelet Transform , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

[14]  Majid Moavenian,et al.  A comparative study of DWT, CWT and DCT transformations in ECG arrhythmias classification , 2010, Expert Syst. Appl..

[15]  Wisnu Jatmiko,et al.  Heart beat classification using wavelet feature based on neural network , 2011 .

[16]  Jun Hyung Jo,et al.  Detecting Abnormal ECG Signals Utilising Wavelet Transform and Standard Deviation , 2012 .

[17]  B. V. K. Vijaya Kumar,et al.  Heartbeat Classification Using Morphological and Dynamic Features of ECG Signals , 2012, IEEE Transactions on Biomedical Engineering.

[18]  U. Rajendra Acharya,et al.  ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform , 2013, Biomed. Signal Process. Control..

[19]  Huifang Huang,et al.  A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals , 2014, BioMedical Engineering OnLine.

[20]  Masatoshi Kawarasaki,et al.  Performance study of wavelet-based ECG analysis for ST-segment detection , 2015, 2015 38th International Conference on Telecommunications and Signal Processing (TSP).

[21]  Rachid Latif,et al.  An efficient algorithm of ECG signal denoising using the adaptive dual threshold filter and the discrete wavelet transform , 2016 .

[22]  Naomie Salim,et al.  Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals , 2016, Comput. Methods Programs Biomed..

[23]  William Robson Schwartz,et al.  ECG-based heartbeat classification for arrhythmia detection: A survey , 2016, Comput. Methods Programs Biomed..

[24]  Lu Cao,et al.  Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System , 2016, Sensors.

[25]  P. Sutha,et al.  Fetal Electrocardiogram Extraction and Analysis Using Adaptive Noise Cancellation and Wavelet Transformation Techniques , 2017, Journal of Medical Systems.

[26]  Heeyoung Kim,et al.  Detection of PVC by using a wavelet-based statistical ECG monitoring procedure , 2017, Biomed. Signal Process. Control..

[27]  Rodrigo Castañeda-Miranda,et al.  DSP-based arrhythmia classification using wavelet transform and probabilistic neural network , 2017, Biomed. Signal Process. Control..

[28]  Benjamin Chisum,et al.  Smartphone ECG for evaluation of ST-segment elevation myocardial infarction (STEMI): Design of the ST LEUIS International Multicenter Study. , 2017, Journal of electrocardiology.

[29]  Giuseppe De Pietro,et al.  A deep learning approach for ECG-based heartbeat classification for arrhythmia detection , 2018, Future Gener. Comput. Syst..

[30]  Mateus Beck Fonseca,et al.  IIR Filter Architectures with Truncation Error Feedback for ECG Signal Processing , 2019, Circuits Syst. Signal Process..

[31]  Ali Mohammad Alqudah,et al.  Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features , 2019, Australasian Physical & Engineering Sciences in Medicine.