ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

This project applies Haar wavelet transform for ECG signal denoising and trains CNN/SVM classifiers to detect cardiac arrhythmias. Built using the MIT-BIH dataset, it's designed for research, learning ...

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Liver diseases present a significant global health challenge and often require costly, invasive ...

Hansen Family Hospital is pleased to announce the purchase of an EKG machine at Ackley Medical Center through a grant provided by the Ackley Community Foundation. The EKG (electrocardiogram) machine ...

The return to project-based learning, paired with today's AI tools, has created a new learning paradigm. Here, Mark Frydenberg, distinguished lecturer of Computer Information Systems and director of ...

A simple ECG scan could now predict your risk for heart disease, Alzheimer’s, and cancer before symptoms appear—thanks to AI-powered biological age tracking. Study: Reclassification of the ...