Healthcare Information Systems
Healthcare Information Systems
Continuous Verification Using Multimodal Biometrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Biometrics
Fingerprint verification on medical image reporting system
Computer Methods and Programs in Biomedicine
An Usability Study of Continuous Biometrics Authentication
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Pattern Recognition
Real-time RFID-based intelligent healthcare diagnosis system
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Soft biometric traits for continuous user authentication
IEEE Transactions on Information Forensics and Security
Unveiling the biometric potential of finger-based ECG signals
Computational Intelligence and Neuroscience - Special issue on Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing
Continuous Authentication Using Biometrics: Data, Models, and Metrics
Continuous Authentication Using Biometrics: Data, Models, and Metrics
Continuous verification using multimodal biometrics
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Securing electronic medical records using biometric authentication
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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User identity validation is particularly relevant for applications where data privacy is critical, such as Healthcare Information Systems (HIS), where patient records protection and medical acts traceability is extremely important. Current approaches to the problem include biometric solutions, however, traditional modalities only allow momentary verification; readers are generally fixed to a static location, and direct contact or proximity is required. State-of-the-art work has been focusing solutions for continuous, or more frequent assessment in an unobtrusive way. In this paper we present a framework for continuous identity verification, based on knowledge discovery from ECG signals for security enhancement in the HIS context. ECG signals are particularly convenient, as they are frequently already measured in patients, and can also be easily obtained from caregivers interacting with the information system. Experimental results were performed in a population of 32 healthy individuals, and the system attained a 2.75%±0.29 EER for the task of identity verification.