Abstract
The ageing of European population is now requiring novel solutions that help the healthcare systems face the new challenges. Novel monitoring solutions, combining state-of-the-art technologies will take a main role in the new healthcare models. In the present paper a prototype of an implemented non-invasive, wearable sensor platform for Congestive Heart Failure (CHF) patients is shown and described. The platform monitors all the required parameters from sensors, collects and processes the data in a mobile platform and sends the data to a server. © 2012 Springer-Verlag.
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Solar, H., Fernández, E., Tartarisco, G., Pioggia, G., Cvetković, B., Kozina, S., … Lampe, J. (2012). A non invasive, wearable sensor platform for multi-parametric remote monitoring in CHF patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7251 LNCS, pp. 140–147). https://doi.org/10.1007/978-3-642-30779-9_18
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