IEEE

Siamese Convolutional Neural Network for Heartbeat Classification Using Limited 12-Lead ECG Datasets

Abstract: The Electrocardiogram (ECG) is a low-cost exam commonly used to diagnose abnormalities in the cardiac cycle. Over the years, the scientific community has investigated the automatic ...
Nature

Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable models

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

AI may spot deadly heart risk in a routine ECG

UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
European Medical Journal

Machine Learning Links Gut Microbiome to Improved DVT Detection

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.
GitHub

Amenymh/ecg-ischemia-detection

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
iMotions

Enobio 8

Enobio® is a wearable, wireless electrophysiology sensor system for the recording of EEG. Using the superb Neuroelectrics Cap, Enobio 8 is ideal for out-of-the-lab applications. The Neuroelectrics ...