Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Abstract: This study explores and examines the different techniques of sparse compression algorithms for the Electrocardiogram(ECG) signals, By improving their performance in data reduction and ...

Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence–enabled electrocardiography (AI‐ECG) ...

The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to argue for the intellectual superiority of white people. Credit...Ben Denzer ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...

Magnetoencephalography (MEG) captures neural activity with high temporal and spatial resolution, but it typically discards other biopotentials, such as cardiac signals, as noise. Here, we demonstrate ...

An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...

Abstract: Electrocardiogram (ECG), as a crucial fine-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the ...

Twelve-lead ECGs, although standard in hospitals, can be bulky and impractical for home use. On the other hand, Apple Watch’s ECG app is easy to use, but it is limited in what it can detect because it ...

File Compressor v2 is an advanced, user-friendly web application for compressing and decompressing files using both Huffman Coding and Lempel–Ziv (LZ77/LZW) algorithms. Designed with efficiency in ...