We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Thermo Fisher Scientific - Direct Effect Media

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

AI-Based ECG Analysis Software Zeroes in on Heart Failure, Myocardial Infarction and Arrhythmia

By HospiMedica International staff writers
Posted on 03 Nov 2021
Print article
Image: VUNO Med-DeepECG (Photo courtesy of VUNO inc.)
Image: VUNO Med-DeepECG (Photo courtesy of VUNO inc.)

VUNO inc. (Seoul, South Korea) has received breakthrough device designation from the Korean Ministry of Food and Drug Safety (KFDA) for the company's artificial intelligence-based electrocardiogram (ECG) analysis software which uses deep learning to zero in on heart failure, myocardial infarction and arrhythmia.

Healthcare authorities have pointed out the limitations of ECG tests on identifying cardiovascular diseases, although the VUNO Med-DeepECG can pinpoint even minute differences in ECG data that escape visual analysis by learning the ECG data of patients suffering from heart failure, myocardial infarction and other major heart-related disorders. Through this learning process, the device provides additional information on heart failure undetected in previous ECGs to identify a myocardial infarction even if no major deflections in the ECG wave patterns can be seen. Once implemented in clinical practice, the ECG analysis software could help reduce mortality rates from major heart diseases and improve patient quality of life through early detection of symptomless patients through ECG testing and timely treatment.

"VUNO will continue to deliver the value of AI to even more beneficiaries through a wide range of biosignal initiatives, including the use of ECG data with its significant potential for providing clues to serious heart-related diseases," said VUNO Chairman Lee Yeha.

Related Links:
VUNO inc. 


Print article

Channels

Surgical Techniques

view channel
Image: Robotic surgery has been found to improve patient recovery time (Photo courtesy of Pexels)

Robotic Surgery Found to Be Safer, Reduces Patient Time in Hospital

Unlike open surgery, where a surgeon works directly on a patient and involves large incisions in the skin and muscle, robot-assisted surgery allows surgeons to guide minimally invasive instruments remotely... Read more

Health IT

view channel
Image: AI can reveal a patient`s heart health (Photo courtesy of Mayo Clinic)

AI Trained for Specific Vocal Biomarkers Could Accurately Predict Coronary Artery Disease

Earlier studies have examined the use of voice analysis for identifying voice markers associated with coronary artery disease (CAD) and heart failure. Other research groups have explored the use of similar... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.