A look into ways AI technology in cardiology is evolving & how it can be applied to patient management & care as it continues ...

A new continuous glucose monitor (CGM) that is not only non-invasive but that predicts blood sugar levels from ECG data ...

Provided your heart gets a normal sinus rhythm, you’re likely ... “Current technology uses machine learning to detect common abnormalities, but personal ECG, like the kind you find on the ...

[Ray] likes to build all sorts of Propeller-based projects, but one of the more interesting items we came across was this DIY ECG. While we ... the user’s heart rhythms via an LED.

ECG interpretation in athletes requires careful analysis to properly distinguish physiological changes related to athlete's heart from findings suggestive of an underlying pathological cardiac ...

By The Learning Network What can you show or tell us to help explain what it’s like to grow up in this political moment? Submit in words, images, audio or video, from Oct. 2 to Nov. 4.

A chemistry professor and a music professor collaborated to deepen student understanding of both fields through integration ...

iRhythm's deep learning technology can accurately ... real-world data on its next-generation Zio LTCM patch ECG device at the ...

An Apple Watch Series 10 saved an elderly woman by detecting atrial fibrillation through its ECG feature, which monitors ...

AccurKardia received FDA breakthrough device designation for its aortic valve stenosis (AVS) ECG-based AI screening software.