Simulation of dynamic on-body wave propagations : comparison with measured values.


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Wireless body area network (WBAN) technology shows potential for improving human quality of life by facilitating remote, long-term health monitoring. Designing small, wearable, and power efficient on-body WBAN sensors requires an understanding of electromagnetic (EM) wave propagation behavior on and around the moving human body. This thesis describes research using a phantom body model in CST software to simulate EM wave propagation between antennas mounted on moving humans. The model is directed by body motion data collected from motion capture experiments. The experiments and simulations cover a range of conditions common in daily life, including various motion activities, body sizes, and antenna placements. The simulations are tested by comparison with on-body EM signal data collected simultaneously with the motion capture data. The simulation results captured the key features of the EM propagation characteristics, thus the simulation framework shows promise for guiding the design of highly-efficient antennas needed for WBAN technology.



Wireless body area network on-body wave propagation.