Patients with pulmonary hypertension associated with congenital heart disease make up an increasing proportion of the total pulmonary hypertension population who bring with them added complexity ...

It's a music weekend with Remedy Tree at the Req Room, Big Al at House of Music and a Sounds of Downtown Music Crawl.

A top cardiovascular researcher is sounding the alarm over global heart health guidelines, warning that universal recommendations may not deliver the intended benefits. Cardiovascular disease is the ...

Today, most female children born with congenital heart disease will reach childbearing age. For many women with complex congenital heart disease, carrying a pregnancy carries a moderate to high risk ...

Changes and murmurs of heart sounds often provide the earliest information of abnormal heart status, which makes heart sound monitor and diagnose an important mean for cardiovascular disease. Compared ...

Talk about a kid with a lot of heart. A 14-year-old from Frisco, Texas, developed a groundbreaking smartphone app to detect early signs of heart disease in just seven seconds.

The researchers at Apple want to follow the same technique and use wearables like AirPods to capture heart sounds and use AI to measure heart rate by analysing it. Apple revealed that its researchers ...

Apple is looking into the possibility of using artificial intelligence (AI) technology in its existing hardware, like AirPods, for non-invasive heart rate monitoring.. The company's research team ...

Instead of recording speech, these foundation models processed 20 hours of heart sounds. The study shows that Apple’s in-house CLAP model performed best, accurately measuring heart rate with AI.

Doctors sound alarm over massive spike in Americans suddenly dropping dead from unexplained heart attacks. READ MORE: Increased heart attack risk linked to dirty habit MILLIONS do daily; By EMILY ...

In this paper, a new approach for human recognition using heart sounds is proposed. The new approach is based mainly on extracting features from heart sounds using wavelet packet decomposition.

The recorded sounds go through various amplification algorithms and are then sent over to a machine-learning model hosted on the cloud, which gives an overall synopsis of the user’s heart health.