A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems
Compressed Sensing (CS) has been proposed as a low-complexity ECG data compression scheme for wearable wireless bio-sensor devices. However, CS decoding is characterized by high computational complexity. As a result, it represents a burden to the computational and energy resources of the network gat...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9247177/ |
| _version_ | 1818662490913898496 |
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| author | Ahmad M. Rateb |
| author_facet | Ahmad M. Rateb |
| author_sort | Ahmad M. Rateb |
| collection | DOAJ |
| description | Compressed Sensing (CS) has been proposed as a low-complexity ECG data compression scheme for wearable wireless bio-sensor devices. However, CS decoding is characterized by high computational complexity. As a result, it represents a burden to the computational and energy resources of the network gateway node, where decoding is performed. In this article, we propose a Fast Compressive Electrocardiography (FCE) technique to address this problem. CS decoding in FCE is based on Weighted Regularized Least-Squares (WRLS), rather than the standard approach based on ℓ<sub>1</sub> norm minimization. The WRLS formulation takes into account prior knowledge of ECG signal properties to estimate an optimally compact and accurate representation of ECG signals. Numerical results show that decoding by FCE is on average 33 times faster than the fastest tested CS-based ECG decoding technique. In addition, high-quality ECG signal reconstruction by FCE is achieved at 32% higher compression ratio. Therefore, FCE can contribute to improving the overall energy and computational resource efficiency of CS-based remote ECG monitoring systems. |
| first_indexed | 2024-12-17T05:01:47Z |
| format | Article |
| id | doaj.art-38a842d0ac6141c8a341d78dce584ae3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T05:01:47Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-38a842d0ac6141c8a341d78dce584ae32022-12-21T22:02:32ZengIEEEIEEE Access2169-35362020-01-01819712419713310.1109/ACCESS.2020.30354239247177A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring SystemsAhmad M. Rateb0https://orcid.org/0000-0001-9636-4156Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an, ChinaCompressed Sensing (CS) has been proposed as a low-complexity ECG data compression scheme for wearable wireless bio-sensor devices. However, CS decoding is characterized by high computational complexity. As a result, it represents a burden to the computational and energy resources of the network gateway node, where decoding is performed. In this article, we propose a Fast Compressive Electrocardiography (FCE) technique to address this problem. CS decoding in FCE is based on Weighted Regularized Least-Squares (WRLS), rather than the standard approach based on ℓ<sub>1</sub> norm minimization. The WRLS formulation takes into account prior knowledge of ECG signal properties to estimate an optimally compact and accurate representation of ECG signals. Numerical results show that decoding by FCE is on average 33 times faster than the fastest tested CS-based ECG decoding technique. In addition, high-quality ECG signal reconstruction by FCE is achieved at 32% higher compression ratio. Therefore, FCE can contribute to improving the overall energy and computational resource efficiency of CS-based remote ECG monitoring systems.https://ieeexplore.ieee.org/document/9247177/Compressed sensing (CS)electrocardiogram (ECG)random demodulatorremote health monitoringwireless body-sensor network (WBSN) |
| spellingShingle | Ahmad M. Rateb A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems IEEE Access Compressed sensing (CS) electrocardiogram (ECG) random demodulator remote health monitoring wireless body-sensor network (WBSN) |
| title | A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems |
| title_full | A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems |
| title_fullStr | A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems |
| title_full_unstemmed | A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems |
| title_short | A Fast Compressed Sensing Decoding Technique for Remote ECG Monitoring Systems |
| title_sort | fast compressed sensing decoding technique for remote ecg monitoring systems |
| topic | Compressed sensing (CS) electrocardiogram (ECG) random demodulator remote health monitoring wireless body-sensor network (WBSN) |
| url | https://ieeexplore.ieee.org/document/9247177/ |
| work_keys_str_mv | AT ahmadmrateb afastcompressedsensingdecodingtechniqueforremoteecgmonitoringsystems AT ahmadmrateb fastcompressedsensingdecodingtechniqueforremoteecgmonitoringsystems |