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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/nq.2022.20.11.NQ66099

Wireless sensor-based authentication of biometrics system for patient health care records

K Muthulakshmi and T.Jayasankar

Abstract

The use of mobile phones in healthcare monitoring and delivery is growing rapidly. For their advanced computing functions, expanded preferences, and varied capabilities, they are sometimes compared to pocket computers. Mobile healthcare (m-health) based applications are made more practical and inventive by their sophisticated sensors and extensive software applications. Both patients and doctors have praised the systems' ease of use, portability, and efficacy in many contexts. In order to improve healthcare delivery, m-health technology makes use of cutting-edge ideas and methods from a variety of disciplines, including electrical engineering, computer science, biomedical engineering, and medicine. In this work, we focus on two crucial facets of modern healthcare sensor applications based on mobile phones. In telemedicine, the innovative and revolutionary, which has significantly limited and distributed communication components. As a visually appealing component of the telemedicine architecture, mHealth is crucial to protecting the privacy and safety of patients by including a variety of sensing technologies in the form of several in-built sensors. To protect patients' privacy when utilising mHealth, this research will focus on enhancing sensor-based defence and attack mechanisms. This study's objective was to develop a taxonomy, and it did so using a multi-level approach. Biometric identification technology plays an important part in protecting patients' personal information and medical records within the healthcare system. The primary objective of this research was to create a Hospital Management System (HMS) that uses fingerprint biometrics for user authentication. Using the Unified Modeling Language (UML) for design and Visual Basic.Net for development, Gellos HMS's primary features were created. The client programme connects to an Access database that stores patient information. To keep everything safe and secure, a combination of pin and biometrics was employed for authentication. Finally, the proposed RSS-based Integrated Secure Authentication (ISA) algorithm is used to accessed the classification accuracy of the model respectively.

Keywords

patient health care records, Integrated Secure Authentication, Wireless sensor, authentication.

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