چکیده (انگلیسی):

Remote Patient Monitoring (RPM) provides flexible and powerful patient surveillance through wearable
devices at anytime and anywhere. This can be achieved by using a Body Sensor Network (BSN), which is
deployed on a human body for monitoring the healthcare. The mobile healthcare management with
increased feasibility and handiness introduced several noteworthy challenges for the provider, policy
makers, patient and hospitals. A significant challenge is to provide round-the-clock healthcare services to
those patients who require it via wearable medical devices. In addition to this, the sensors collect the
personal medical data where the security and privacy are important components in RPM. As a result, one of
the most significant and challenging concern to deal with is how to secure the personal information of the
patients and to eliminate their privacy issue. This study presents System on Programmable Chip (SoPC)
implementation of Remote Patient Monitoring System (RPM) with Ultra Lightweight algorithms for
security issues. Humming Bird 2 (HB-2), PRESENT and HIGHT algorithms were implemented since the
wearable medical devices require fewer areas to achieve portability. The comparison results shows that
Degree of Confusion of HB-2 is 50.43 which outstand the other, the efficiency of the entire algorithm
implemented in SoPC are higher comparing with conventional Field Programmable Gate Array (FPGA)
implementation. The comparison was extended and in Particular, power and area consumption of HB-2 is
less than PRESENT and HIGHT algorithm, which is more suitable for RPM devices.