IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i7p1550147719864884.html
   My bibliography  Save this article

Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis

Author

Listed:
  • Junxin Chen
  • Jiazhu Xing
  • Leo Yu Zhang
  • Lin Qi

Abstract

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.

Suggested Citation

  • Junxin Chen & Jiazhu Xing & Leo Yu Zhang & Lin Qi, 2019. "Compressed sensing for electrocardiogram acquisition in wireless body sensor network: A comparative analysis," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719864884
    DOI: 10.1177/1550147719864884
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719864884
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147719864884?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719864884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.