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Collaboration

The RescueDoppler experimental study is a result of a collaboration between Nord University and NTNU and has been executed at Anilab in Bodø. There are currently two Phd-candidates from Nord University working in the RescueDoppler project. 

University of Pennsylvania, Children ́s Hospital of Philadelphia (CHOP)

We have an experimental study on asphyxia and cardiac arrest ongoing at Children’s Hospital of Philadelphia and are also planning clinical studies together using RescueDoppler in children. The Resuscitation Science Center seeks to firmly position Children’s Hospital of Philadelphia as the leading clinical and translational critical illness research epicenter in the world. They utilize innovative translational bridges from in vitro and small animal models to transformative large animal models that have streamlined preclinical development. Our main research partners here are: Kumaran Senthil, MD, attending physician in the Department of Anesthesiology and Critical Care Medicine at Children's Hospital of Philadelphia and is in charge for our collaboration study and Dr. Ko, PhD and Research Scientist, leads the development and application of non-invasive, optical neuromonitoring technologies to detect and help mitigate neurological injury in preclinical and clinical studies of resuscitation and extracorporeal life support. She also leads implementation of preclinical data architecture and data standardization to facilitate predictive model development with an emphasis on prediction of resuscitation success and of neurological injury. MD Kumaran Senthil, is in charge for our collaboration study: Hemodynamically-directed CPR using RescueDoppler, an experimental study. In a pediatric porcine model of cardiac arrest, we compare RescueDoppler, with the invasive cortical blood flow monitoring by Laser Doppler via the Periflux device and non-invasive cortical blood flow monitoring using diffuse correlation spectroscopy.The aim is to identify a cost effective, reliable, interpretable signal of intra-arrest cerebral blood flow could prove to be a technology that improves postcardiac arrest survival with favorable neurologic outcomes.

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Technical processing and data analysis of ECG- data as well as data regarding blood pressure, blood flow and compression depth during resuscitation is done in collaboration with The Research group on Bioengineering and Resuscitation (BioRes) at the University of the Basque Country in Spain.

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