Efficient QRS complex detection algorithm based on Fast Fourier Transform

An ECG signal, generally filled with noise, when de-noised, enables a physician to effectively determine and predict the condition and health of the heart. This paper aims to address the issue of denoising a noisy ECG signal using the Fast Fourier Transform based bandpass filter. Multi-stage adaptive peak detection is then applied to identify the R-peak in the QRS complex of the ECG signal. The result of test simulations using the MIT/BIH Arrhythmia database shows high sensitivity and positive predictivity (PP) of 99.98 and 99.96% respectively, confirming the accuracy and reliability of proposed algorithm for detecting R-peaks in the ECG signal.

[1]  Shaou-Gang Miaou,et al.  Wavelet-based lossy-to-lossless ECG compression in a unified vector quantization framework , 2005, IEEE Transactions on Biomedical Engineering.

[2]  Rama Komaragiri,et al.  Heart rate monitoring and therapeutic devices: A wavelet transform based approach for the modeling and classification of congestive heart failure. , 2018, ISA transactions.

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

[4]  Abdelmalik Taleb-Ahmed,et al.  R-peaks detection based on stationary wavelet transform , 2015, Comput. Methods Programs Biomed..

[5]  Yong Lian,et al.  A Joint QRS Detection and Data Compression Scheme for Wearable Sensors , 2015, IEEE Transactions on Biomedical Engineering.

[6]  Amr Mohamed,et al.  Efficient ECG Compression and QRS Detection for E-Health Applications , 2017, Scientific Reports.

[7]  H. T. Nagle,et al.  A comparison of the noise sensitivity of nine QRS detection algorithms , 1990, IEEE Transactions on Biomedical Engineering.

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

[9]  Rama Komaragiri,et al.  Design of a Biorthogonal Wavelet Transform Based R-Peak Detection and Data Compression Scheme for Implantable Cardiac Pacemaker Systems , 2018, Journal of Medical Systems.

[10]  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.

[11]  Ju Wang,et al.  VLSI implementation of low-power cost-efficient lossless ECG encoder design for wireless healthcare monitoring application , 2013 .

[12]  Szi-Wen Chen,et al.  A moving average based filtering system with its application to real-time QRS detection , 2003, Computers in Cardiology, 2003.

[13]  A. Alwan.  Global status report on noncommunicable diseases 2010. , 2011 .

[14]  Yanqing Zhang,et al.  Body Sensor Networks: A Holistic Approach From Silicon to Users , 2012, Proceedings of the IEEE.

[15]  Bachir Boucheham,et al.  R wave detection using fractional digital differentiation , 2003 .

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

[17]  Chun-Huat Heng,et al.  A 3-Lead ECG-on-Chip with QRS Detection and Lossless Compression for Wireless Sensors , 2016, IEEE Transactions on Circuits and Systems II: Express Briefs.

[18]  Soo-Won Kim,et al.  Design of Wavelet-Based ECG Detector for Implantable Cardiac Pacemakers , 2013, IEEE Transactions on Biomedical Circuits and Systems.

[19]  S. Sideris,et al.  Simple electrocardiographic markers for the prediction of paroxysmal idiopathic atrial fibrillation. , 1998, American heart journal.

[20]  Ericson Chua,et al.  Mixed bio-signal lossless data compressor for portable brain-heart monitoring systems , 2011, IEEE Transactions on Consumer Electronics.

[21]  R. Poli,et al.  Genetic design of optimum linear and nonlinear QRS detectors , 1995, IEEE Transactions on Biomedical Engineering.

[22]  P. Francis,et al.  Macrophage Migration Inhibitory Factor is subjected to glucose modification and oxidation in Alzheimer’s Disease , 2017, Scientific Reports.

[23]  Rama Komaragiri,et al.  From Pacemaker to Wearable: Techniques for ECG Detection Systems , 2018, Journal of Medical Systems.

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

[25]  Rama Komaragiri,et al.  Design of wavelet transform based electrocardiogram monitoring system. , 2018, ISA transactions.

[26]  Jianqing Li,et al.  A Dynamic Compression Scheme for Energy-Efficient Real-Time Wireless Electrocardiogram Biosensors , 2014, IEEE Transactions on Instrumentation and Measurement.

[27]  John G. Webster,et al.  Medical Instrumentation: Application and Design , 1997 .

[28]  W. J. Tompkins,et al.  Estimation of QRS Complex Power Spectra for Design of a QRS Filter , 1984, IEEE Transactions on Biomedical Engineering.

[29]  Ziya Arnavut,et al.  ECG Signal Compression Based on Burrows-Wheeler Transformation and Inversion Ranks of Linear Prediction , 2007, IEEE Transactions on Biomedical Engineering.