Avive Solutions’ AED Machine Learning Algorithm Exceeds American Heart ... the convolution neural network demonstrated greater than 99% diagnostic accuracy for shockable and non-shockable rhythms.

The cardiac arrest treatment algorithm divides cardiopulmonary resuscitation into the treatment of shockable rhythms – ventricular fibrillation (VF) and pulseless ventricular tachycardia (VT) (Figure ...

They've developed an algorithm that can detect 14 types of arrhythmia -- they also claim that based on their tests, ... and a lot of people with abnormal heart rhythms don't even show symptoms.

Is Hypothermia After Cardiac Arrest Effective in Both Shockable and Nonshockable Patients? Insights From a Large Registry. Dumas F, Grimaldi D, Zuber B, et al. Circulation. 2011; 123:877-886. A ...

Alongside the FDA's 510(k) clearance, RHYTHM AI has also reported the first uses of the new version of the technology to treat AFib patients – at Baptist Health in Jacksonville, Florida – with ...

Heart rhythms associated with cardiac arrest are divided into two groups: shockable rhythms (VF or pVT) and non-shockable rhythms (asystole and pulseless electrical activity or PEA).

Credit: Element Sciences. The system uses a proprietary algorithm to detect and classify shockable arrhythmias. The Jewel Patch-WCD is designed to be worn continuously for up to a week at a time ...

The proportion of IHCAs with shockable rhythms decreased from 37.4% to 23.0% over the study period. Survival increased from 55.8% to 61.6% for shockable rhythms and from 14.2% to 24.6% for non ...