Algorithm Detects Risky Heart Rhythms


A group of researchers from Stanford University claim they found a more accurate way to diagnose abnormal heart rhythms. This new efficient method could mean the difference between life or death for many millions of Americans a year.

The researchers developed an algorithm that detects 14 types of arrhythmia. The algorithm can quickly detect arrhythmias that requires immediate attention.

The researchers hope the algorithms will be used in wearable devices one day soon to predict signs of stroke, heart failure or cardiac arrest in at-risk patients.

Engadget has a more detailed story on this subject.  Also, watch the above video for more details.