IEEE

Anomaly Detection in ECG Signal Using Unsupervised Learning

Abstract: An essential diagnostic tool for finding irregularities in the rhythm and function of the heart is the electrocardiogram (ECG) signal. After obtaining the ECG signals from the adjacent ...
IEEE

Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification

Abstract: There is a global dependence on medicinal plants for the treatment of diverse health conditions, particularly in developing countries, where government medical facilities are inadequate.
BMJ

ECG algorithms for localisation of outflow tract ventricular arrhythmias: is there a winner?

Outflow tract ventricular arrhythmias (OT-VAs) are the most common type of idiopathic VAs.1 Despite their often benign clinical presentation, patients may experience symptoms that may severely impact ...
Frontiers

M-ECG: extracting heart signals with a novel computational analysis of magnetoencephalography data

1 Department of Neurology, Wake Forest School of Medicine, Winston-Salem, NC, United States 2 Department of Translational Neuroscience, Wake Forest School of Medicine, Winston-Salem, NC, United States ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...