Key result
VitalDB offers high-resolution perioperative vitals from 6,388 surgical patients to advance ML research.
Why the study?
Machine learning research in biosignal analysis is hindered by a lack of biosignal datasets for monitoring vital signs in surgical patients.
Population
6,388 surgical cases
Design
Open dataset creation
Authors
Loading...
Does not alter perioperative monitoring; leaves open ML model development pending prospective validation.
VitalDB provides a large, open-access dataset of high-resolution intraoperative vital signs to facilitate machine learning research in surgical patient monitoring.
Lee et al. (2022) studied Surgical patients undergoing anesthesia (n=6,388). VitalDB dataset (Data collection) was evaluated. The VitalDB open dataset provides high-resolution multi-parameter vital signs and clinical data from 6,388 surgical patients to facilitate machine learning research in perioperative care.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: