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

Area of Science:

• Biomedical Engineering
• Artificial Intelligence
• Healthcare Security

Background:

• Mobile patient monitoring systems lack robust identity verification.
• Device-patient mix-ups pose significant safety risks in healthcare.
• Current 'intelligent medical devices' for patient identification are unavailable.

Purpose of the Study:

• To develop an AI-based biometric authentication system using physiological signals.
• To enable patient identification based on unique biometric patterns.
• To enhance security and safety in mobile patient monitoring.

Main Methods:

• Utilizing vital signs (physiological signals) for biometric authentication.
• Developing an AI algorithm for pattern recognition and identification.
• Integrating the authentication component into a patient monitoring platform.

Main Results:

• Successful realization of an AI-based identification system.
• Demonstrated feasibility of biometric authentication using vital signs.
• Established a method for pre-use patient identity verification.

Conclusions:

• The developed system offers a reliable method for verifying patient identity before device use.
• Integration into monitoring platforms supports safer and more efficient clinical workflows.
• This AI-driven biometric authentication addresses a critical gap in intelligent medical devices.