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He graduated from the Dept. of Mathematics of the Aristotle University of Thessaloniki in 2001. He continued his studies at the School of Medicine of the same University until 2003, where he obtained the M.Sc. in Medical Informatics. In 2008, he obtained the Ph.D. in Informatics entitled as "Digital Processing Techniques in Speech Emotion Recognition" at the Computer Science faculty of the same University. He has been awarded the ERCIM fellowship for 2009-2011. In 2009, he was with VTT Technical Research Center of Finland working on Alzheimer's disease and Neuraly Adjusted Ventilation Assist (NAVA). In 2010-2011, he was with IAIS Fraunhofer Institute in Bonn working on Speech Analysis. From 2012 until now he is a researcher and software developer in Centre for Research and Technology Hellas (CERTH). In the 15 years of his professional career, he has experience in signal processing and statistical pattern recognition with Python and Matlab, Android development, Javascript-PHP development for WordPress, Joomla, Three.js frameworks, Augmented Reality with Layar-Wikitude frameworks, Virtual Reality with Unity3D, dance recognition with Kinect, and gesture recognition with Myo.

Wednesday, March 7, 2012

Neurally adjusted ventilation assist for critically ill patients

Neurally adjusted ventilatory assist (NAVA) delivers airway pressure (P_aw) in proportion to the electrical activity of the diaphragm (EAdi) using an adjustable proportionality constant (NAVA level, cm H_20/microvolt). During systematic increases in the NAVA level, feedback-controlled down-regulation of the EAdi results in a characteristic two-phased response in P_aw and tidal volume (Vt). The transition from the 1st to the 2nd response phase allows identification of adequate unloading of the respiratory muscles with NAVA (NAVA_AL). We aimed to develop and validate a mathematical algorithm to identify NAVA_AL. More details can be found in published journal manuscript 7 [pdf].

Signals like airway pressure and electrical activity of the diaphragm are recorded.


Software developed in Matlab for the automatic estimation of NAVA adequate level.


The methodology presented graphically.