Disease-aware Compression of Multi-lead Electrocardiogram Using Intelligent Hybrid Encoder

[1]  Arnon D. Cohen,et al.  The weighted diagnostic distortion (WDD) measure for ECG signal compression , 2000, IEEE Transactions on Biomedical Engineering.

[2]  M Mitra,et al.  An intelligent telecardiology system for offline wireless transmission and remote analysis of ECG , 2012, Journal of medical engineering & technology.

[3]  Honggang Wang,et al.  An Integrated Wearable Sensor for Unobtrusive Continuous Measurement of Autonomic Nervous System , 2019, IEEE Internet of Things Journal.

[4]  Bin Yao,et al.  ECG Arrhythmia Classification Using STFT-Based Spectrogram and Convolutional Neural Network , 2019, IEEE Access.

[5]  Rajarshi Gupta.  Quality Aware Compression of Electrocardiogram Using Principal Component Analysis , 2016, Journal of Medical Systems.

[6]  Rajarshi Gupta,et al.  Electrocardiogram compression technique for global system of mobile-based offline telecardiology application for rural clinics in india , 2012 .

[7]  B. S. Saini,et al.  A joint application of optimal threshold based discrete cosine transform and ASCII encoding for ECG data compression with its inherent encryption , 2016, Australasian Physical & Engineering Sciences in Medicine.

[8]  L. N. Sharma,et al.  Coding ECG beats using multiscale compressed sensing based processing , 2015, Comput. Electr. Eng..

[9]  Samarendra Dandapat,et al.  Exploiting multi-scale signal information in joint compressed sensing recovery of multi-channel ECG signals , 2016, Biomed. Signal Process. Control..

[10]  M. Sabarimalai Manikandan,et al.  Wavelet energy based diagnostic distortion measure for ECG , 2007, Biomed. Signal Process. Control..

[11]  King-Chu Hung,et al.  Rapid and coding-efficient SPIHT algorithm for wavelet-based ECG data compression , 2018, Integr..

[12]  Rajarshi Gupta,et al.  Compression of Multilead Electrocardiogram Using Principal Component Analysis and Machine Learning Approach , 2018, 2018 IEEE Applied Signal Processing Conference (ASPCON).

[13]  Bashar A. Rajoub.  An efficient coding algorithm for the compression of ECG signals using the wavelet transform , 2002, IEEE Transactions on Biomedical Engineering.

[14]  Rajarshi Gupta,et al.  Hybrid encoding algorithm for real time compressed electrocardiogram acquisition , 2016 .

[15]  Rajarshi Gupta,et al.  Preserving Abnormal Beat Morphology in Long-Term ECG Recording: An Efficient Hybrid Compression Approach , 2020, IEEE Transactions on Instrumentation and Measurement.

[16]  Samarendra Dandapat,et al.  Multilead ECG data compression using SVD in multiresolution domain , 2016, Biomed. Signal Process. Control..

[17]  M. Anwar Ma'sum,et al.  2D Set Partitioning In Hierarchical Tree (SPIHT)On Embedded Devices For Multilead ECG Signal Compression , 2015 .

[18]  Samarendra Dandapat,et al.  Multi-channel ECG data compression using compressed sensing in eigenspace , 2016, Comput. Biol. Medicine.

[19]  Vinod Kumar,et al.  ECG Data Compression using Non-redundant Templates , 2000 .

[20]  Samarendra Dandapat,et al.  Multichannel ECG Data Compression Based on Multiscale Principal Component Analysis , 2012, IEEE Transactions on Information Technology in Biomedicine.

[21]  B. Walczak,et al.  Particle swarm optimization (PSO). A tutorial , 2015 .

[22]  Yu-Ling Lin,et al.  A Speed- and Power-Efficient SPIHT Design for Wearable Quality-On-Demand ECG Applications , 2018, IEEE Journal of Biomedical and Health Informatics.

[23]  H. Koymen,et al.  Multichannel ECG data compression by multirate signal processing and transform domain coding techniques , 1993, IEEE Transactions on Biomedical Engineering.

[24]  Soosan Beheshti,et al.  ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework , 2018, Biomed. Signal Process. Control..

[25]  Tiago H. Falk,et al.  Lossless electrocardiogram signal compression: A review of existing methods , 2019, Biomed. Signal Process. Control..