New Algorithm Can Detect Atrial Fibrillation with 95% Accuracy
A new algorithm can now detect atrial fibrillation with a 95 accuracy. This is a huge improvement over previous methods. Atrial fibrillation, which affects about three million Americans, is an independent risk factor for death and a major cause of ischemic stroke, in which blood flow is reduced to part of the brain. Atrial Fibrillation can be treated, but it is notoriously difficult to detect. The new algorithm was developed by Ki H. Chon, PhD, head of the Department of Biomedical Engineering at Worcester Polytechnic Institute (WPI), in partnership with Snehraj Merchant of The ScottCare Corporation.
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