TipRanks on MSN

AI/ML Innovations Secures U.S. Patent for ECG Signal-Processing Technology

The latest update is out from Aiml Resources ( (TSE:AIML) ).
All Penny Stocks (English) on MSN

Breakthroughs in Medical AI Fuel a New Wave of Innovation

Artificial intelligence continues to transform clinical diagnostics, particularly in cardiology, where faster, more accurate ...
IEEE

Detection and Localization of Acute Myocardial Infarction Using Branch-Reduced Convolutional Neural Network

Abstract: Myocardial infarction (MI) can be life-threatening and needs to be detected accurately and quickly. In this article, a branch-reduced network (BRN) is developed to detect and locate acute MI ...
Scientific Research Publishing

Raghunath, S., Pfeifer, J.M., Ulloa-Cerna, A.E., et al. (2021) Deep Neural Networks Can Predict New-Onset Atrial Fibrillation from the 12-Lead ECG. Circulation, 143, 1287-1298.

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.
GitHub

[PW]Convolutional Neural Networks for Patient- Specific ECG Classification

自适应1D卷积神经网络（CNN）设计：提出的1D CNN模型可以用于心电图（ECG）的特征提取和分类，设计中去除了传统的MLP层 ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IEEE

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection

Abstract: In this paper, a novel algorithm based on a convolutional neural network (CNN) is proposed for myocardial infarction detection via multilead electrocardiogram (ECG). A beat segmentation ...
Frontiers

Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network

This study presents a general trainable network of Hopf oscillators to model high-dimensional electroencephalogram (EEG) signals across different sleep stages. The proposed architecture consists of ...
ahajournals.org

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...