AI-driven system for non-contact continuous nocturnal blood pressure monitoring using fiber optic ballistocardiography.

ABSTRACT: Continuous monitoring of nocturnal blood pressure is crucial for hypertension management and cardiovascular risk assessment. However, current clinical methods are invasive and discomforting, posing challenges. These traditional techniques often disrupt sleep, impacting patient compliance and measurement accuracy. Here we introduce a non-contact system for continuous monitoring of nocturnal blood pressure, utilizing ballistocardiogram signals. The key component of this system is the utilization of advanced, flexible fiber optic sensors designed to capture medical-grade ballistocardiogram signals accurately. Our artificial intelligence model extracts deep learning and fiducial features with physical meanings and implements an efficient, lightweight personalization scheme on the edge device.

SUBMITTER: Huang Y 

PROVIDER: S-EPMC11659553 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature