Effective resuscitation could reduce intrapartum related neonatal deaths by 30%, and deaths from prematurity by 10%, creating the potential to save 347,200 babies annually. However, one in five trained healthcare professionals (HCPs) fail to perform the resuscitation technique correctly, and those that do, often experience a rapid decline in proficiency. Our Augmented Infant Resuscitator's advanced training capabilities, instant feedback mechanism, and objective self-audit and retraining abilities will maximize and sustain gains from effective resuscitation. The AIR prototype provides instant feedback to users about effective ventilation. This is measured using inexpensive instrumentation that calculates ventilation rate, air volume and air pressure delivered by the bag-valve-mask (BVM) across the resuscitation face-mask. These parameters correlate with the four most common mistakes that result in ineffective resuscitation: 1) Failed seal at the face-mask interface resulting in failure to inflate the lungs; 2) Blocked airways; and 3) Wrong ventilation frequency 4) Insufficient/shallow lung inflation. Each of these mistakes can cause death or brain damage. AIR also records performance on an internal memory card for future feedback, improving HCPs training by identifying persistent gaps in technique.
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