Compression of ECG Signal Based on Compressive Sensing and the Extraction of Significant Features

International Journal of Communications, Network and System Sciences

ISSN Print: 1913-3715
ISSN Online: 1913-3723
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"Compression of ECG Signal Based on Compressive Sensing and the Extraction of Significant Features"
written by Mohammed M. Abo-Zahhad, Aziza I. Hussein, Abdelfatah M. Mohamed,
published by International Journal of Communications, Network and System Sciences, Vol.8 No.5, 2015

has been cited by the following article(s):

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[1]	Compressed Sensing Approach for Physiological Signals: A Review IEEE Sensors Journal, 2023 DOI:10.1109/JSEN.2023.3243390

[2]	Compressed Sensing Approach for Physiological Signals: A Review IEEE Sensors Journal, 2023 DOI:10.1109/JSEN.2023.3243390

[3]	Dictionary Learning-Based Multichannel ECG Reconstruction Using Compressive Sensing IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3190207

[4]	Sparsity enhancing wavelets design for ECG and fetal ECG compression Biomedical Signal Processing and Control, 2022 DOI:10.1016/j.bspc.2021.103082

[5]	Privacy Assured Recovery of Compressively Sensed ECG Signals IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3149890

[6]	Sparsity enhancing wavelets design for ECG and fetal ECG compression Biomedical Signal Processing and Control, 2022 DOI:10.1016/j.bspc.2021.103082

[7]	Redundancy cancellation of compressed measurements by QRS complex alignment PLOS ONE, 2022 DOI:10.1371/journal.pone.0262219

[8]	Proposal of a pseudo‐electrocardiogram model incorporating heart rate variability and QT‐interval variability, and its application IEEJ Transactions on Electrical and Electronic Engineering, 2022 DOI:10.1002/tee.23559

[9]	A Comprehensive Review on Compressive Sensing 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2022 DOI:10.1109/ICAAIC53929.2022.9792767

[10]	Dictionary Learning-Based Multichannel ECG Reconstruction Using Compressive Sensing IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3190207

[11]	Review on Compressive Sensing Algorithms for ECG Signal for IoT Based Deep Learning Framework Applied Sciences, 2022 DOI:10.3390/app12168368

[12]	Privacy Assured Recovery of Compressively Sensed ECG Signals IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3149890

[13]	Efficient Data Compression of ECG Signal Based on Modified Discrete Cosine Transform Computers, Materials & Continua, 2022 DOI:10.32604/cmc.2022.024044

[14]	Reducing the Root-Mean-Square Error at Signal Restoration using Discrete and Random Changes in the Sampling Rate for the Compressed Sensing Problem 2021 International Siberian Conference on Control and Communications (SIBCON), 2021 DOI:10.1109/SIBCON50419.2021.9438937

[15]	Compressive Sensing in Healthcare 2020 DOI:10.1016/B978-0-12-821247-9.00014-7

[16]	Hybrid and Advanced Compression Techniques for Medical Images 2019 DOI:10.1007/978-3-030-12575-2_5

[17]	A Study on ECG signal Characterization and Practical Implementation of Some ECG Characterization Techniques Measurement, 2019 DOI:10.1016/j.measurement.2019.02.040

[18]	A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2793851

[19]	Investigation on the Compression of Electrocardiogram Signals Using Dual Tree Complex Wavelet Transform IETE Journal of Research, 2017 DOI:10.1080/03772063.2016.1275988

[20]	A data-driven compressive sensing framework tailored for energy-efficient wearable sensing 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 DOI:10.1109/ICASSP.2017.7952278

[21]	Adaptive compression ratio estimation for categorified sparsity in real-time ECG monitoring system 2016 35th Chinese Control Conference (CCC), 2016 DOI:10.1109/ChiCC.2016.7554854

[22]	An energy-efficient compressive sensing framework incorporating online dictionary learning for long-term wireless health monitoring 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 DOI:10.1109/ICASSP.2016.7471786

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