Electrical & Computer Engineering, Department of


Date of this Version



Poster Presented at University of Nebraska-Lincoln Research Fair, April 4-5, 2017


Copyright (c) 2017 Jose Santos, Dongming Peng, Hamid Sharif


This research work proposes a novel physiologicallyaware communication architecture for the transmission of biomedical signals in BASNs (Body Area Sensor Networks) and wearables for emerging IoT applications. The architecture to fulfill the following objectives:

• Reduce volume of biomedical data in IoT networks and Internet infrastructure.

• Minimize the required computational load of biomedical data on the cloud side.

• Extend the lifetime of the mobile wearable/BASN through improved energy savings.

This architecture is generalizable to class of biomedical signals. It prevents large volume of biomedical data to be generated; uses patient state to control almost any system parameter; achieves significant energy savings, helping to extend the lifetime of the device for medical-IoT applications.