[PDF][PDF] Empirical rf propagation modeling of human body motions for activity classification
R Fu - 2012 - core.ac.uk
2012•core.ac.uk
Many current and future medical devices are wearable, using the human body as a conduit
for wireless communication, which implies that human body serves as a crucial part of the
transmission medium in body area networks (BANs). Implantable medical devices are
designed to provide patients with timely monitoring and clinical diagnostic tools to detect
physiological abnormalities. Body-mounted sensors are investigated for use in providing a
ubiquitous monitoring environment. In order to better design these medical devices, it is …
for wireless communication, which implies that human body serves as a crucial part of the
transmission medium in body area networks (BANs). Implantable medical devices are
designed to provide patients with timely monitoring and clinical diagnostic tools to detect
physiological abnormalities. Body-mounted sensors are investigated for use in providing a
ubiquitous monitoring environment. In order to better design these medical devices, it is …
Abstract
Many current and future medical devices are wearable, using the human body as a conduit for wireless communication, which implies that human body serves as a crucial part of the transmission medium in body area networks (BANs). Implantable medical devices are designed to provide patients with timely monitoring and clinical diagnostic tools to detect physiological abnormalities. Body-mounted sensors are investigated for use in providing a ubiquitous monitoring environment. In order to better design these medical devices, it is important to understand the propagation characteristics of channels for in-body and on-body wireless communication in BANs.
This thesis is focused on the propagation characteristics of human body movements. Specifically, standing, walking and jogging motions are measured, evaluated and analyzed using an empirical approach. Using a network analyzer, probabilistic models are derived for the communication links in the medical implant communication service band (MICS), the industrial scientific medical band (ISM) and the ultra-wideband (UWB) band. Statistical distributions of the received signal strength and second order statistics are presented to evaluate the link quality and outage performance for on-body to on-body communications at different antenna separations. The Normal distribution, Gamma distribution, Rayleigh distribution, Weibull distribution, Nakagamim distribution, and Lognormal distribution are considered as potential models to describe the observed variation of received signal strength. Doppler spread in the frequency domain and coherence time in the time domain from temporal variations is analyzed to characterize the stability of the channels induced by human body movements. The shape of the Doppler spread spectrum is also investigated to describe the relationship of the power and frequency in the frequency domain. All these channel characteristics could be used in the design of communication protocols in BANs, as well as providing features to classify different human body activities.
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