چکیده (انگلیسی):

Patient identity verification is a critical requirement for a remote patient monitoring environment. The
health of the patient is monitored and crucial medical decisions are taken based on the physiological data
collected from the patient using sensors and sent to distant health care centers or hospitals for real-time
monitoring. Therefore it is of utmost importance to associate the received data with the correct patient
as false verification of the patient’s identity could lead to a wrong diagnosis and have serious
repercussions leading even to the loss of a patient’s life. In this study we propose a simple and robust
remote authentication system for verifying the identity of assisted living patients being monitored in
their home environment. We propose a biometric authentication that is based on the Electrocardiogram
(ECG) data collected from the patient. It is a well established fact that ECG can be used to authenticate
people. Moreover ECG data serves to not only monitor the health of the patient but also provides for
continuous patient verification which is a very essential requirement for the security of the remote
health monitoring system. We have implemented and tested the proposed fuzzy authentication scheme
using the Mamdani model and present the results.