Multiclass ECG Signal Analysis Using Global Average-Based 2-D Convolutional Neural Network Modeling
暂无分享,去创建一个
Omar Abuzaghleh | Miad Faezipour | Khaled Elleithy | Abdelshakour Abuzneid | Muhammad Wasimuddin | K. Elleithy | M. Faezipour | O. Abuzaghleh | Abdel-shakour Abuzneid | Muhammad Wasimuddin | Omar Abuzaghleh
[1] Derek Rayside,et al. Accurate ECG R-peak detection for telemedicine , 2014, 2014 IEEE Canada International Humanitarian Technology Conference - (IHTC).
[2] Chengyu Liu,et al. Rule-Based Method for Morphological Classification of ST Segment in ECG Signals , 2015 .
[3] Muhammad Arif,et al. Detection and Localization of Myocardial Infarction using K-nearest Neighbor Classifier , 2012, Journal of Medical Systems.
[4] Shameer Faziludeen,et al. ECG beat classification using wavelets and SVM , 2013, 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES.
[5] Omar Abuzaghleh,et al. ECG Signal Analysis Using 2-D Image Classification with Convolutional Neural Network , 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).
[6] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[7] K. T. Nahiyan,et al. Myocardial Ischemia Detection from Slope of ECG ST Segment , 2018, Bangladesh Journal of Medical Physics.
[8] F.A. Afsar,et al. Detection of ST Segment Deviation Episodes in the ECG using KLT with an Ensemble Neural Classifier , 2007, 2007 International Conference on Emerging Technologies.
[9] David Menotti,et al. Inter-Patient ECG Heartbeat Classification with Temporal VCG Optimized by PSO , 2017, Scientific Reports.
[10] Huifang Huang,et al. A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals , 2014, BioMedical Engineering OnLine.
[11] Joseph John Oresko,et al. PORTABLE HEART ATTACK WARNING SYSTEM BY MONITORING THE ST SEGMENT VIA SMARTPHONE ELECTROCARDIOGRAM PROCESSING , 2010 .
[12] K. Rajakariar,et al. Accuracy of a smartwatch based single-lead electrocardiogram device in detection of atrial fibrillation , 2020, Heart.
[13] Binqiang Chen,et al. Removal of Power Line Interference From ECG Signals Using Adaptive Notch Filters of Sharp Resolution , 2019, IEEE Access.
[14] Min Zhou,et al. ECG Classification Using Wavelet Packet Entropy and Random Forests , 2016, Entropy.
[15] Hlaing Minn,et al. A Patient-Adaptive Profiling Scheme for ECG Beat Classification , 2010, IEEE Transactions on Information Technology in Biomedicine.
[16] Andrew Y. Ng,et al. Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks , 2017, ArXiv.
[17] Steven B. Smith,et al. Digital Signal Processing: A Practical Guide for Engineers and Scientists , 2002 .
[18] S. Hadjiloucas,et al. Detection of ECG arrhythmia conditions using CSVM and MSVM classifiers , 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).
[19] Li Zhang,et al. An efficient abnormal beat detection scheme from ECG signals using neural network and ensemble classifiers , 2014, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).
[20] Fulya Akdeniz,et al. Time-frequency approach to ECG classification of myocardial infarction , 2020, Comput. Electr. Eng..
[21] Mohammad Mahdi Khalilzadeh,et al. Real Time Recognition of Heart Attack in a Smart Phone , 2015, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.
[22] Jian Sun,et al. Convolutional neural networks at constrained time cost , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Willis J. Tompkins,et al. A Learning Filter for Removing Noise Interference , 1983, IEEE Transactions on Biomedical Engineering.
[24] Adrian Burns,et al. SHIMMER™ – A Wireless Sensor Platform for Noninvasive Biomedical Research , 2010, IEEE Sensors Journal.
[25] Refet Firat Yazicioglu,et al. ECG Signal Compression and Classification Algorithm With Quad Level Vector for ECG Holter System , 2010, IEEE Transactions on Information Technology in Biomedicine.
[26] 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.
[27] Dimitrios I. Fotiadis,et al. A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree , 2007, Artif. Intell. Medicine.
[28] Amit Kumar,et al. Ischemia detection using Isoelectric Energy Function , 2016, Comput. Biol. Medicine.
[29] Fatemeh Afghah,et al. Inter- and Intra- Patient ECG Heartbeat Classification for Arrhythmia Detection: A Sequence to Sequence Deep Learning Approach , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Francesca N. Delling,et al. Heart Disease and Stroke Statistics—2018 Update: A Report From the American Heart Association , 2018, Circulation.
[31] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[32] J. Bigby. Harrison's Principles of Internal Medicine , 1988 .
[33] Jing Jiang,et al. A novel multi-module neural network system for imbalanced heartbeats classification , 2019, Expert Syst. Appl. X.
[34] Radek Martinek,et al. Comparison of Different Electrocardiography with Vectorcardiography Transformations , 2019, Sensors.
[35] Hoi-Jun Yoo,et al. A 2Mb/s Wideband Pulse Transceiver with Direct-Coupled Interface for Human Body Communications , 2006, 2006 IEEE International Solid State Circuits Conference - Digest of Technical Papers.
[36] Daeyoung Kim,et al. ECG arrhythmia classification using a 2-D convolutional neural network , 2018, ArXiv.
[37] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[38] Tomasz Rymarczyk,et al. The Use of Time-Frequency Moments as Inputs of LSTM Network for ECG Signal Classification , 2020, Electronics.
[39] U. Rajendra Acharya,et al. A deep convolutional neural network model to classify heartbeats , 2017, Comput. Biol. Medicine.
[40] Miad Faezipour,et al. Sustainable Smartphone-Based Healthcare Systems: A Systems Engineering Approach to Assess the Efficacy of Respiratory Monitoring Apps , 2020 .
[41] Jing Hu,et al. ST Segment Change Classification Based on Multiple Feature Extraction Using ECG , 2018, 2018 Computing in Cardiology Conference (CinC).
[42] Adel Belouchrani,et al. QRS detection based on wavelet coefficients , 2012, Comput. Methods Programs Biomed..
[43] Pablo Laguna,et al. A wavelet-based ECG delineator: evaluation on standard databases , 2004, IEEE Transactions on Biomedical Engineering.
[44] T. Netoff,et al. QRS Complex Detection and Measurement Algorithms for Multichannel ECGs in Cardiac Resynchronization Therapy Patients , 2018, IEEE Journal of Translational Engineering in Health and Medicine.
[45] Mandeep Singh,et al. Statistical analysis of ST segments in ECG signals for detection of ischaemic episodes , 2018, Trans. Inst. Meas. Control.
[46] Philip de Chazal,et al. Automatic classification of heartbeats using ECG morphology and heartbeat interval features , 2004, IEEE Transactions on Biomedical Engineering.
[47] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[48] Wan-Young Chung,et al. A Comprehensive Ubiquitous Healthcare Solution on an Android™ Mobile Device , 2011, Sensors.
[49] Peter Schuster,et al. Accuracy and usability of single-lead ECG from smartphones - A clinical study , 2019, Indian pacing and electrophysiology journal.
[50] Steven L Higgins. A novel patch for heart rhythm monitoring: is the Holter monitor obsolete? , 2013, Future cardiology.
[51] J. Nadal,et al. A telediagnosis assistance system for multiple-lead electrocardiography , 2021, Physical and Engineering Sciences in Medicine.
[52] E. R. Davies,et al. Machine vision - theory, algorithms, practicalities , 2004 .
[53] U. Rajendra Acharya,et al. Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads , 2016, Knowl. Based Syst..
[54] Jiann-Shiun Yuan,et al. ECG Arrhythmia Classification Using Transfer Learning from 2- Dimensional Deep CNN Features , 2018, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS).
[55] Karma Sonam Sherpa,et al. Arrhythmia and ischemia classification and clustering using QRS-ST-T (QT) analysis of electrocardiogram , 2018, Cluster Computing.
[56] Aydin Akan,et al. Cardiac Arrhythmia Detection from 2D ECG Images by Using Deep Learning Technique , 2019, 2019 Medical Technologies Congress (TIPTEKNO).
[57] M R Homaeinezhad,et al. A robust wavelet-based multi-lead Electrocardiogram delineation algorithm. , 2009, Medical engineering & physics.
[58] Chusak Thanawattano,et al. The Development of ST-Episode Detection in Holter Monitoring for Myocardial Ischemia , 2016 .
[59] Dimitrios I. Fotiadis,et al. An ischemia detection method based on artificial neural networks , 2002, Artif. Intell. Medicine.
[60] G.B. Moody,et al. The impact of the MIT-BIH Arrhythmia Database , 2001, IEEE Engineering in Medicine and Biology Magazine.
[61] Li Sun,et al. ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection , 2012, IEEE Transactions on Biomedical Engineering.
[62] Naomie Salim,et al. Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals , 2016, Comput. Methods Programs Biomed..
[63] Yuriy S. Shmaliy,et al. Denoising and Features Extraction of ECG Signals in State Space Using Unbiased FIR Smoothing , 2019, IEEE Access.
[64] Tasnova Tanzil Khan,et al. ECG feature extraction in temporal domain and detection of various heart conditions , 2015, 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT).
[65] Seyed Kamaledin Setarehdan,et al. ECG power line interference removal using combination of FFT and adaptive non-linear noise estimator , 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).
[66] Ye Li,et al. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone , 2015, Sensors.
[67] Vincent Ng,et al. Transient ST-segment episode detection for ECG beat classification , 2011, 2011 IEEE/NIH Life Science Systems and Applications Workshop (LiSSA).
[68] Navarun Gupta,et al. Design and implementation of Least Mean Square adaptive filter on fetal electrocardiography , 2014, Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education.
[69] Ashfaq A. Khokhar,et al. ST-segment and T-wave anomalies prediction in an ECG data using RUSBoost , 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).
[70] 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.
[71] Lorenzo Chiari,et al. A wavelet-based ECG delineation algorithm for 32-bit integer online processing , 2011, Biomedical engineering online.
[72] Suprijadi,et al. A Simple Real-Time System for Detection of Normal and Myocardial Ischemia in The ST segment and T Wave ECG Signal , 2019, 2019 International Conference on Information and Communications Technology (ICOIACT).
[73] C. Wiener. Harrison's principles of internal medicine , 2013 .
[74] Alexander Samol,et al. Single-Lead ECG Recordings Including Einthoven and Wilson Leads by a Smartwatch: A New Era of Patient Directed Early ECG Differential Diagnosis of Cardiac Diseases? , 2019, Sensors.
[75] Mustapha El Hanine,et al. ST Segment Analysis Using Wavelet Transform , 2017 .
[76] Karsten Hoppe,et al. Automatic Real-Time Embedded QRS Complex Detection for a Novel Patch-Type Electrocardiogram Recorder , 2015, IEEE Journal of Translational Engineering in Health and Medicine.
[77] Hoi-Jun Yoo,et al. A Low Power 16-bit RISC with Lossless Compression Accelerator for Body Sensor Network System , 2006, 2006 IEEE Asian Solid-State Circuits Conference.
[78] Ying Liu,et al. A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification , 2018, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
[79] Yorgos Goletsis,et al. Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis , 2004, IEEE Transactions on Biomedical Engineering.
[80] Madhuchhanda Mitra,et al. R-Peak Detection Algorithm for Ecg using Double Difference And RR Interval Processing , 2012 .
[81] Miad Faezipour,et al. System Dynamics Modeling for Smartphone-Based Healthcare Tools: Case Study on ECG Monitoring , 2021, IEEE Systems Journal.
[82] Omar Abuzaghleh,et al. Stages-Based ECG Signal Analysis From Traditional Signal Processing to Machine Learning Approaches: A Survey , 2020, IEEE Access.
[83] Tahir Zaidi,et al. An Intelligent Adaptive Filter for Elimination of Power Line Interference From High Resolution Electrocardiogram , 2016, IEEE Access.
[84] Miguel C. Soriano,et al. A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection , 2019, Front. Phys..