Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis
In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and compression of electrocardiogram signals in the wirele...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719864884 |
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| _version_ | 1832559258040795136 |
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| author | Junxin Chen Jiazhu Xing Leo Yu Zhang Lin Qi |
| author_facet | Junxin Chen Jiazhu Xing Leo Yu Zhang Lin Qi |
| author_sort | Junxin Chen |
| collection | DOAJ |
| description | In the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and compression of electrocardiogram signals in the wireless body sensor network. This article presents a comprehensive analysis of compressed sensing for electrocardiogram acquisition. The performances of involved important factors, such as wavelet basis, overcomplete dictionaries, and the reconstruction algorithms, are comparatively illustrated, with the purpose to give data reference for practical applications. Drawn from a bulk of comparative experiments, the potential of compressed sensing in electrocardiogram acquisition is evaluated in different compression levels, while preferred sparsifying basis and reconstruction algorithm are also suggested. Relative perspectives and discussions are also given. |
| format | Article |
| id | doaj-art-0d8e6f9dbd2747c98fa674e51b36f519 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-0d8e6f9dbd2747c98fa674e51b36f5192025-02-03T01:30:24ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-07-011510.1177/1550147719864884Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysisJunxin Chen0Jiazhu Xing1Leo Yu Zhang2Lin Qi3Department of Computer and Information Science, University of Macau, Macau, ChinaSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaSchool of Information Technology, Deakin University, Geelong, AustraliaSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, ChinaIn the past decades, compressed sensing emerges as a promising technique for signal acquisition in low-cost sensor networks. For prolonging the monitoring duration of biosignals, compressed sensing is also exploited for simultaneous sampling and compression of electrocardiogram signals in the wireless body sensor network. This article presents a comprehensive analysis of compressed sensing for electrocardiogram acquisition. The performances of involved important factors, such as wavelet basis, overcomplete dictionaries, and the reconstruction algorithms, are comparatively illustrated, with the purpose to give data reference for practical applications. Drawn from a bulk of comparative experiments, the potential of compressed sensing in electrocardiogram acquisition is evaluated in different compression levels, while preferred sparsifying basis and reconstruction algorithm are also suggested. Relative perspectives and discussions are also given.https://doi.org/10.1177/1550147719864884 |
| spellingShingle | Junxin Chen Jiazhu Xing Leo Yu Zhang Lin Qi Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis International Journal of Distributed Sensor Networks |
| title | Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis |
| title_full | Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis |
| title_fullStr | Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis |
| title_full_unstemmed | Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis |
| title_short | Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis |
| title_sort | compressed sensing for electrocardiogram acquisition in wireless body sensor network a comparative analysis |
| url | https://doi.org/10.1177/1550147719864884 |
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