In a 2012 study, Stieg et al wrote that in out-of-hospital cardiac arrest resuscitation - "We found suboptimal compression depth in half of patients by 2005 guideline standards and almost all by 2010 standards as well as an inverse association between compression depth and rate. We found a strong association between survival outcomes and increased compression depth"
Our idea is to measure compression depth and rate using smart watches and coach the user to achieve optimum values on both in the moment. In the longer term, we will collect data on CPR characteristics and match them with outcomes to optimize the coaching algorithm.
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We divide the average judge score with the maximum score possible and add 1 to create a multiplier.1.6
We apply the judge multiplier to the total number of crowd votes.13.2
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