AI/ML Innovations Inc. Announces Grant of U.S. Patent Expanding Protection for AI-Driven ECG Analysis

Patent covers machine learning techniques for ECG denoising, rhythm classification, sample-level labelling, wearable cardiac monitoring, and report generation TORONTO, ON / ACCESS Newswire / June 23, ...
Frontiers

Voice disorders classification using machine learning: a scoping review

This review aims to identify the key barriers to clinical application of Machine Learning (ML) in multi-class voice disorder classification. A comprehensive scoping review of research published ...
IEEE

Inferring ECG Waveforms from Chest Wall Using Wearable Non-contact Electromagnetic Sensor and Machine Learning Models

Abstract: In this article, we propose and comparatively evaluate a system for inferring electrocardiogram (ECG) signal waveforms from chest wall displacement recorded by a wearable non-contact ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
ahajournals.org

Abstract 4368538: Fusion Machine Learning Architectures for Improving ECG classification of acute coronary events

Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...
IEEE

Early Detection and Classification of ECG Arrhythmia using Machine learning and Ensemble learning

Abstract: Early and accurate diagnosis of cardiac arrhythmias is essential for preventing potentially fatal cardiovascular events. Traditional ECG interpretation is often ineffective for continuous ...