ECG

Researchers have developed a reusable ECG vest that takes high-resolution images of the heart's electrical activity that can better identify people at risk of future heart problems and could pave the way for more personalized treatment of heart disease.

Researchers have developed an ultrathin, waterproof, gel-free ECG electrode for continuous heart monitoring that offers greater comfort than current devices on the market, while still precisely measuring the heart’s electrical activity.

For many, Monday means the weekend's over and it's back to work. Now, there's something else to worry about. Research has found that the most life-threatening type of heart attack is more likely to occur on a Monday than any other day of the week.

Researchers have developed a mobile, noninvasive, ultrathin, stretchable, battery-operated electronic tattoo that simultaneously measures the heart’s electrical and mechanical activity, offering a new way of diagnosing and monitoring heart disease.

A new algorithm can effectively detect patients with a dangerous heart dysfunction using ECG data gathered by an Apple Watch. A large trial is now currently underway looking to test the clinical utility of the algorithm in one million people.

Engineers have optimized a novel technology that uses temporary tattoo electrodes to record EEG brain activity. The technology is cheap, can be produced using an inkjet printer, and delivers EEG measurements as accurately as traditional electrodes.

An abnormal heart rhythm called atrial fibrillation is one of the leading causes of strokes, yet it's often symptomless, so it frequently goes undetected. An experimental new necklace, however, could make checking for it a quick and simple process.

The dream of a non-invasive device to continually monitor blood glucose levels has never become reality. The latest prospective technique, from the University of Warwick, uses artificial intelligence to detect low blood glucose from simple ECG data.

A new AI diagnostic method, using a neural network, can accurately identify congestive heart failure instantly by checking ECG data from just one heartbeat.

​We've already heard about so-called "electronic tattoos," which are a more comfortable and longer-wearing alternative to the rigid electrodes traditionally used to monitor cardiac patients' hearts. A new one is claimed to be more accurate than others, however, as it tracks heart health in two ways.

How much better could drones be if you got rid of fiddly hand controllers and flew them with your mind? That's the question EEGSmart asks with this quad, which responds to brainwaves and head movements instead of thumbsticks. It's not perfect, but it gives a glimpse of a mind-controlled future.

Applying AI to ECG results may help doctors quickly identify patients at risk of heart failure. In a new study, an AI system was able to use ECG data to detect the presence of left ventricular dysfunction, a condition currently only detectable using more expensive and time-consuming imaging tests.