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On 18/10/2006 the DAPHNet consortium  gathered in Zurich in a one day meeting discussing and reviewing the progress of the work.

On 10/07/2007 the DAPHNet consortium  gathered in Brussels in a one day meeting reviewing the progress of the work done during the first year of the project.

On 11/09/2007 the DAPHNet consortium  gathered at BIU facilities in Tel-Aviv. Recommendations given at the first ATR were fruitfull discussed.

DAPHNet consortium met past 12th and 13th of February in Brussels for discussing the progress of the work.

DAPHNet consortium met in Madrid last 13th of May for preparing the 2nd Annual Technical Review that took place May 14th in Madrid at the Atos premises
 

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Overview

Physiological signals as output of the human complex system are typically nonlinear and non-stationary, and much information is hidden in the dynamics of their fluctuations. By applying conventional analysis techniques based on averaged quantities and other features of histogram and classical power spectrum analysis, some important characteristic properties of the signal dynamics are neglected...
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Objectives

Objective 1: Test the hypothesis---based upon our preliminary findings---that essential medical information is hidden in the non-equilibrium dynamics of physiologic rhythms when recorded over long time periods, as well as in the synchronization properties of the various physiological-signals and their interactions.

Objective 2: Collect and analyze long-term data from targeted groups of individuals with specific medical conditions. Initiate the concept of physiological network, which, in combination with suitable algorithms, provides novel, quantitative status indices for specific debilitating pathologies.

Objective 3: Adapt an existing wearable personal monitoring system for the needs of simultaneous long-term recording of data from multiple physiological-sensors and its collection and transmission for offline analysis.

Objective 4: Create a repository of signals and algorithms to serve the research community. The database will be addressable not only according to data records, but according to synchronization phenomena and network properties.