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, ...

The human heart beats 80,000-120,000 times a day. Long-term ECGs record every heartbeat, and the recording is then scrutinized for abnormalities – arrhythmias – which is a time-consuming process. In a ...

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 ...

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 ...

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 ...

On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up. On 1,200 acres of cornfield in Indiana, ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Researchers from Rice University and startup xMAD.ai have detailed Dynamic-Length Float (DFloat11), a technique achieving approximately 30% lossless compression for Large Language Model weights stored ...