AHA/ASA Journals

Association Between Neighborhood Opportunity With Exercise-Related Cardiac Symptoms and ECG Abnormalities in US Youth Athletes

BACKGROUND: Sudden cardiac arrest disproportionately affects youths from lower socioeconomic neighborhoods, yet the ...
GitHub

FMCW-Radar-Cardiac-Monitoring-SSM

This repository provides the official implementation of the cardiopulmonary signal reconstruction framework proposed in the following manuscript: X. Kong et al., IEEE Transactions on Instrumentation ...
IEEE

Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy

Abstract: Although AI enhances productivity and quality in manufacturing, real-time validation remains difficult due to the complexity and high-dimensionality of time series data under strict ...
Wall Street Journal

For a Select Few, IPOs Are Winners. Good Luck to Everyone Else.

When it comes to initial public offerings, the first-day pop is the fizz that attracts so much interest. After that, they often fall flat. That’s worth bearing in mind amid the hoopla accompanying ...
IEEE

Unsupervised Feature Selection-Driven Active Learning for Semi-Supervised Automatic ECG Analysis

Abstract: Automatic analysis methods of electrocardiograms (ECGs) usually required large-scale annotated training data, but the annotation process is extremely time-consuming. While semi-supervised ...
Engadget

Wired found code for an unreleased facial recognition feature in Meta's AI app

Code for a facial recognition feature that can run on Meta smart glasses is buried in the company's Meta AI app, according to a new report from Wired. While not currently enabled, accessible to ...
Wired

Meta Silently Added Face-Recognition Code for Its Smart Glasses to Millions of Phones

Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s designed to identify people via biometric data stored on users’ phones. Code ...