The ECG signals analysis is a frequently used approach for classification of cardiac patients. Traditionally, this analysis is made by expert doctors. However, recently, it is increasingly supported ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Google is testing a machine learning-powered tech in the U.S. to determine the age of users and filter content across all its products accordingly. The company said it will consider data from Google ...
1 School of Information Engineering, Huzhou University, Huzhou, China 2 Key Laboratory of Artificial Organs, Computational Medicine in Zhejiang Province, College of Information Science and Technology, ...
Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA
Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...
Avadre (V/R), May 14, GNA – The Volta Regional Directorate of the Public Utilities Regulatory Commission (PURC) and the Electricity Company of Ghana (ECG) in the Akatsi District have jointly engaged ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...
Garmin has unlocked one of its newest features for owners of select watches in the UK and Switzerland, ECG readings. The ECG electrocardiogram feature came to the first Garmin watch in 2023, the Venu ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...
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