VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients.

ABSTRACT: In modern anesthesia, multiple medical devices are used simultaneously to comprehensively monitor real-time vital signs to optimize patient care and improve surgical outcomes. However, interpreting the dynamic changes of time-series biosignals and their correlations is a difficult task even for experienced anesthesiologists. Recent advanced machine learning technologies have shown promising results in biosignal analysis, however, research and development in this area is relatively slow due to the lack of biosignal datasets for machine learning. The VitalDB (Vital Signs DataBase) is an open dataset created specifically to facilitate machine learning studies related to monitoring vital signs in surgical patients. This dataset contains high-resolution multi-parameter data from 6,388 cases, in

SUBMITTER: Lee HC 

PROVIDER: S-EPMC9178032 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature