Unique computational framework for robust, real-time HRV monitoring in neonates and critical care patients (IMAGE)

Fujita Health University

Unique computational framework for robust, real-time HRV monitoring in neonates and critical care patients

Caption

Researchers from Fujita Health University have developed an innovative computational framework for real-time monitoring of heart rate variability (HRV) that is accurate and patient-specific. By using individualized HRV indices derived from electrocardiogram data and allowing for manual exclusion of artifact-prone periods, the framework mitigates data contamination and false alerts, making it ideal for clinical application in both neonatal and critical care settings.

Credit

Jim Champion from Flickr Image Source Link: https://www.flickr.com/photos/13071852@N00/3304911798

Usage Restrictions

Credit must be given to the creator. Adaptations must be shared under the same terms.

License

CC BY-SA

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.