Abstract: Electrocardiogram (ECG) signals, as sensitive biometric data, are highly susceptible to re-identification attacks, presenting significant privacy risks in healthcare data sharing.

This video explores the rapid advancement of AI and its potential consequences for humanity. It discusses how AI systems, powered by OpenAI's cutting-edge technologies, are now capable of performing ...

Abstract: Human electrocardiography (ECG) reconstruction from alternative human physiological signals provides a promising solution to overcome the inconvenience of direct electrode attachment. While ...

PITTSBURGH, PA, UNITED STATES, August 28, 2025 /EINPresswire.com/ -- Rosann Z. of Robbinsville, NJ and Heather M. of Maple Shade, NJ are the creators of the EZ Pedi ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Bradyarrhythmia is a common and potentially serious cause of syncope, often difficult to detect due to its intermittent nature. Traditional ECG monitoring methods either provide low diagnostic ...

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 ...