An LLM that can process and display transmitted cardiac data in real time

In addition to linguistic prompts, large language models can also understand, interpret, and adapt their responses to heart frequency data. Dr. Morris Gellisch, previously of Ruhr University Bochum, ...
Frontiers

Thymoquinone and aerobic exercise mitigate HFpEF-induced cardiac injury via Apaf1/Cycs axis regulation

Introduction: Heart failure with preserved ejection fraction (HFpEF) is a prevalent clinical syndrome associated with high morbidity and mortality. Oxidative stress, apoptosis, and fibrosis are ...
IEEE

Output Feedback Adaptive Tracking Control of Uncertain Parameter Systems via Dynamic Regressor Extension and Mixing

Abstract: This work develops an output feedback adaptive tracking control method based on dynamic regressor extension and mixing (DREM) for discrete-time uncertain parameter systems. A piecewise DREM ...
ahajournals.org

Facilitators and Barriers to Uptake of Remote Cardiac Monitoring in a Rural Setting: A Qualitative Analysis

When part of a comprehensive cardiac implantable electronic device care program, remote monitoring (RM) is an effective strategy for maximizing clinical and patient satisfaction outcomes. In rural ...
C&EN

Aspergillus-Induced Cardiac Injury Modeling and Preventive Strategy Screening via a Universal Precise Cardiomyocyte-Based Electrophysiological Biosensing Platform

Department of Chemistry, Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials, ZJU-Hangzhou Global Scientific and Technological Innovation Center, School of Medicine, Zhejiang ...
IEEE

A High-Accuracy and Ultra-Energy-Efficient Cardiac Arrhythmia Classification Processor for Wearable Intelligent ECG Monitoring

Abstract: Wearable intelligent electrocardiography (ECG) sensors with integrated cardiac arrhythmia classification processors have been used to detect and classify arrhythmia, alerting users to ...