Smart stethoscope company Eko last week announced it has received FDA 510(k) clearance for an algorithm that detects and characterizes heart murmurs in adult and pediatric patients.
Eko Murmur Analysis Software, which officially received the green light in late June, is a machine learning algorithm that uses heart sounds, phonocardiograms and ECG signals (when available) to detect murmurs and...
This morning digital cardiac health startup Eko announced that its atrial fibrillation and heart murmur detection algorithm landed a 510(k) FDA clearance. The new algorithms are designed to integrate with Eko’s stethoscope, which is already on the market, and be used by healthcare providers.
The company said it plans to add more algorithms in the future. Next up will be an ECG-based algorithm...
The FDA has cleared eMurmur ID, a software screening device that uses a smartphone, third-party digital stethoscope and machine learning to automate the detection of heart murmurs.
According to Ottawa, Canada-based eMurmur, the cloud tool identifies and classifies both dangerous and healthy heart murmurs, as well as the absence of a murmur and S1 or S2 heart sounds. The platform includes a mobile...
