An Efficient Low Computational Cost Method of R-Peak Detection

[1]  R. Tao,et al.  Detection and parameter estimation of multicomponent LFM signal based on the fractional fourier transform , 2004, Science in China Series F: Information Sciences.

[2]  C. Madramootoo,et al.  Independent principal component analysis for simulation of soil water content and bulk density in a Canadian Watershed , 2016, International Soil and Water Conservation Research.

[3]  Alpana Agarwal,et al.  A Novel Approach to ECG R-Peak Detection , 2018, Arabian Journal for Science and Engineering.

[4]  J. Tasic,et al.  Detection of the electrocardiogram fiducial points in the phase space using the Euclidian distance measure. , 2012, Medical engineering & physics.

[5]  Kwangsoo Shin,et al.  Robust algorithm for arrhythmia classification in ECG using extreme learning machine , 2009, Biomedical engineering online.

[6]  Kim-Anh Lê Cao,et al.  Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets , 2012, BMC Bioinformatics.

[7]  P.E. Trahanias,et al.  An approach to QRS complex detection using mathematical morphology , 1993, IEEE Transactions on Biomedical Engineering.

[8]  A. Zayed On the relationship between the Fourier and fractional Fourier transforms , 1996, IEEE Signal Processing Letters.

[9]  P. Hamilton,et al.  Open source ECG analysis , 2002, Computers in Cardiology.

[10]  Ali Shaban Hassooni,et al.  Detection of electrocardiogram QRS complex based on modified adaptive threshold , 2019 .

[11]  N.V. Thakor,et al.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection , 1991, IEEE Transactions on Biomedical Engineering.

[12]  Girish Kumar Singh,et al.  Feature extraction of ECG signal , 2018, Journal of medical engineering & technology.

[13]  Durbadal Mandal,et al.  An Efficient QRS Complex Detection Using Optimally Designed Digital Differentiator , 2018, Circuits, Systems, and Signal Processing.

[14]  Unsang Park,et al.  R Peak Detection Method Using Wavelet Transform and Modified Shannon Energy Envelope , 2017, Journal of healthcare engineering.

[15]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[16]  V. Gupta,et al.  A Comparison of ECG Signal Pre-processing Using FrFT, FrWT and IPCA for Improved Analysis , 2019, IRBM.

[17]  Hong Zhang,et al.  A NOVEL R-PEAK DETECTION METHOD COMBINING ENERGY AND WAVELET TRANSFORM IN ELECTROCARDIOGRAM SIGNAL , 2014 .

[18]  Chandan Chakraborty,et al.  Application of principal component analysis to ECG signals for automated diagnosis of cardiac health , 2012, Expert Syst. Appl..

[19]  W.J. Tompkins,et al.  ECG beat detection using filter banks , 1999, IEEE Transactions on Biomedical Engineering.

[20]  Anh Dinh,et al.  Low Resource Complexity R-peak Detection Based on Triangle Template Matching and Moving Average Filter , 2019, Sensors.

[21]  Pornchai Phukpattaranont,et al.  QRS detection algorithm based on the quadratic filter , 2015, Expert Syst. Appl..

[22]  Samit Ari,et al.  Analysis of ECG signal denoising method based on S-transform , 2013 .

[23]  Ivan W. Selesnick,et al.  Biomedical Signal Processing and Control Ecg Enhancement and Qrs Detection Based on Sparse Derivatives , 2022 .

[24]  Adel Belouchrani,et al.  QRS detection based on wavelet coefficients , 2012, Comput. Methods Programs Biomed..

[25]  M.P.S. Chawla,et al.  SEGMENT CLASSIFICATION OF ECG DATA AND CONSTRUCTION OF SCATTER PLOTS USING PRINCIPAL COMPONENT ANALYSIS , 2008 .

[26]  Ashish Sharma,et al.  Accurate tunable-Q wavelet transform based method for QRS complex detection , 2019, Comput. Electr. Eng..

[27]  Szi-Wen Chen,et al.  A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising , 2006, Comput. Methods Programs Biomed..

[28]  Harjeet Kaur,et al.  On the detection of Cardiac Arrhythmia with Principal Component Analysis , 2017, Wireless Personal Communications.

[29]  Yasin Kaya,et al.  Classification of Premature Ventricular Contraction in ECG , 2015 .

[30]  Adriana Mexicano,et al.  Feature extraction of electrocardiogram signals by applying adaptive threshold and principal component analysis , 2015 .

[31]  M Bahoura,et al.  DSP implementation of wavelet transform for real time ECG wave forms detection and heart rate analysis. , 1997, Computer methods and programs in biomedicine.

[32]  X. Gu,et al.  An Improved Method with High Anti-interference Ability for R Peak Detection in Wearable Devices , 2020, IRBM.

[33]  Sabir Jacquir,et al.  Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT , 2016, Biomed. Signal Process. Control..

[34]  U. Rajendra Acharya,et al.  Automatic identification of cardiac health using modeling techniques: A comparative study , 2008, Inf. Sci..

[35]  Xiaofei Wang,et al.  Denoising and R-Peak Detection of Electrocardiogram Signal Based on EMD and Improved Approximate Envelope , 2014, Circuits Syst. Signal Process..

[36]  Mohammed Azmi Al-Betar,et al.  Hybridizing β-hill climbing with wavelet transform for denoising ECG signals , 2018, Inf. Sci..

[37]  H. K. Verma,et al.  A new statistical PCA-ICA algorithm for location of R-peaks in ECG. , 2008, International journal of cardiology.

[38]  L. Sörnmo,et al.  Delineation of the QRS complex using the envelope of the e.c.g. , 1983, Medical and Biological Engineering and Computing.

[39]  Fei Zhang,et al.  Inter-patient heartbeat classification based on region feature extraction and ensemble classifier , 2019, Biomed. Signal Process. Control..

[40]  Feng Wan,et al.  A 0.83-$\mu {\rm W}$ QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35- $\mu{\rm m}$ CMOS , 2012, IEEE Transactions on Biomedical Circuits and Systems.

[41]  Marina Ronzhina,et al.  ECG features and methods for automatic classification of ventricular premature and ischemic heartbeats: A comprehensive experimental study , 2017, Scientific Reports.

[42]  H. Ozaktas,et al.  Fractional Fourier transforms and their optical implementation. II , 1993 .

[43]  Santanu Sahoo,et al.  De-noising of ECG Signal and QRS Detection Using Hilbert Transform and Adaptive Thresholding , 2016 .

[44]  S. C. Saxena,et al.  Wavelet based R-peak detection for heart rate variability studies , 2010, Journal of medical engineering & technology.

[45]  Messaoud Benidir,et al.  Multiresolution wavelet-based QRS complex detection algorithm suited to several abnormal morphologies , 2014, IET Signal Process..

[46]  S. S. Mehta,et al.  SVM-based algorithm for recognition of QRS complexes in electrocardiogram , 2008 .

[47]  Yakup Kutlu,et al.  ECG based human identification using Second Order Difference Plots , 2019, Comput. Methods Programs Biomed..

[48]  ALKA BARHATTE,et al.  Cardiac events detection using curvelet transform , 2019, Sādhanā.

[49]  Alain Dieterlen,et al.  QRS detection using S-Transform and Shannon energy , 2014, Comput. Methods Programs Biomed..

[50]  H L Chan,et al.  Continuous and online analysis of heart rate variability , 2005, Journal of medical engineering & technology.

[51]  B. S. Saini,et al.  Alexander fractional differential window filter for ECG denoising , 2018, Australasian Physical & Engineering Sciences in Medicine.

[52]  Jianqing Li,et al.  An Adaptive and Time-Efficient ECG R-Peak Detection Algorithm , 2017, Journal of healthcare engineering.

[53]  Naif Alajlan,et al.  A wavelet optimization approach for ECG signal classification , 2012, Biomed. Signal Process. Control..

[54]  D. Kumar,et al.  of the 23 rd Annual EMBS International Conference , October 25-28 , Istanbul , Turkey Wavelets for QRS Detection , 2022 .

[55]  Tamer Ölmez,et al.  ECG beat classification by a novel hybrid neural network , 2001, Comput. Methods Programs Biomed..

[56]  E. Farahabadi,et al.  R Peak Detection in Electrocardiogram Signal Based on an Optimal Combination of Wavelet Transform, Hilbert Transform, and Adaptive Thresholding , 2011, Journal of medical signals and sensors.