Implementation of compressed sensing in telecardiology sensor networks

  • Authors:
  • Eduardo Correia Pinheiro;Octavian Adrian Postolache;Pedro Silva Girão

  • Affiliations:
  • Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal and Instituto Superior Técnico, Universidade Técnica de Lisboa, Lisboa, Portugal;Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal and Escola Superior de Tecnologia de Setúbal, Instituto Politécnico de Setúbal, Setúb ...;Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal and Instituto Superior Técnico, Universidade Técnica de Lisboa, Lisboa, Portugal

  • Venue:
  • International Journal of Telemedicine and Applications - Special issue on healthcare applications and services in converged networking environments
  • Year:
  • 2010

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Abstract

Mobile solutions for patient cardiac monitoring are viewed with growing interest, and improvements on current implementations are frequently reported, with wireless, and in particular, wearable devices promising to achieve ubiquity. However, due to unavoidable power consumption limitations, the amount of data acquired, processed, and transmitted needs to be diminished, which is counterproductive, regarding the quality of the information produced. Compressed sensing implementation in wireless sensor networks (WSNs) promises to bring gains not only in power savings to the devices, but also with minor impact in signal quality. Several cardiac signals have a sparse representation in some wavelet transformations. The compressed sensing paradigm states that signals can be recovered from a few projections into another basis, incoherent with the first. This paper evaluates the compressed sensing paradigm impact in a cardiac monitoring WSN, discussing the implications in data reliability, energy management, and the improvements accomplished by in-network processing.