While heart rate variability (HRV) is a standard measure of the autonomic nervous system activity, its real-time monitoring is often compromised by inter-patient variability and data contamination from procedural artifacts. Addressing these challenges, researchers from Fujita Health University developed a computational framework for robust and personalized real-time HRV analysis, adapted for clinical applications. The framework integrates each patient’s HRV indices with a mechanism to manually annotate artifact-prone periods, making the analysis accurate and patient-specific.

Rice researchers and collaborators have developed a system to camouflage heart rate from radar-based surveillance.

New study results could lead to mRNA therapeutic to reduce the risk of cardiac damage

Heart disease remains the leading cause of death in the United States, and February’s designation as American Heart Month serves as an annual reminder of the importance of heart health. In a Q&A, Dr. Ramy Sadek, a board-certified cardiologist with UCR Health, discusses how lifestyle changes, appropriate medical screening, and managing risk factors such as high blood pressure, diabetes, and high cholesterol can reduce the burden of cardiovascular disease.

Fans of DSC Arminia Bielefeld experience matchday excitement far more intensely in the stadium than in front of the television when watching football (soccer). A study from Bielefeld University demonstrates clear differences in heart rate and stress levels during the 2025 cup final of the German Football Association (DFB).

Dr. Catherine Prater, postdoctoral researcher at Pennington Biomedical Research Center, has received a two-year fellowship from the American Heart Association. The fellowship includes a grant of more than $150,000 that will support research focused on weight gain markers. Her research project, “Examination of Metabolic Characteristics in the Predisposition for Weight Gain,” will reexamine existing clinical trial data with the goal of improving prediction models and uncover metabolic markers that explain individual differences in weight gain.