V-IDENT: Enhancing Patient Safety Through PPG-Based User Identification.

Abstract

Biometric authentication based on physiological signals offers promising potential for enhancing security in mobile patient monitoring. 'Intelligent medical devices', which check the identity of a patient before usage to address safety risks from device-patient mix-ups, do not yet exist. In this project, an AI-based identification system that uses vital signs for biometric authentication will be realized in order to enable the identification on the basis of biometric patterns. By integrating this component into a patient monitoring platform, a seamless and reliable method for verifying patient identity before device use is established, supporting safer and more efficient clinical workflows.