XDA Developers on MSN

This awesome ESP32 project turns plant bioelectric signals into music

Finally, eco-friendly music.
Journal of Medical Internet Research

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

In EIANet, ECG images were first converted to binary form, followed by noise reduction, connected component analysis, and morphological opening. A spatial attention module was incorporated into the ...
IEEE

EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model

Abstract: Background: electrocardiogram (ECG), as a low-cost and noninvasive measurement tool, plays a crucial role in detecting arrhythmias. However, the ECG measurement process is highly vulnerable ...
IEEE

ECG-Mamba: Cardiac Abnormality Classification With Non-Uniform-Mix Augmentation on 12-Lead ECGs

Abstract: Objective: The detection of heart abnormalities using electrocardiograms (ECG) is a critical task in medical diagnostics. A lot of literature has utilized ResNet and Transformer ...
GitHub

Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care

MIMIC-IV-ECG-ICD-ED statements-distributions: (A) represents the distribution of statements according to chapters (all percentages as relative fractions compared to the dataset size), whereas (B) ...
GitHub

Edoar-do/HuBERT-ECG

Deep learning models have shown remarkable performance in electrocardiogram (ECG) analysis, but the limited availability and size of ECG datasets have constrained their success, resulting in systems ...