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International Journal of Telemedicine and Applications
Volume 2010, Article ID 127639, 12 pages
Research Article

Implementation of Compressed Sensing in Telecardiology Sensor Networks

1Instituto de Telecomunicações, Instituto Superior Técnico, Torre Norte, piso 10, Avenue Rovisco Pais, 1, 1049-001 Lisboa, Portugal
2Instituto Superior Técnico, Universidade Técnica de Lisboa, 1049-001 Lisboa, Portugal
3Escola Superior de Tecnologia de Setúbal, Instituto Politécnico de Setúbal, 2910-761 Setúbal, Portugal

Received 1 November 2009; Accepted 19 July 2010

Academic Editor: Tasos Dagiuklas

Copyright © 2010 Eduardo Correia Pinheiro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.