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In-Body to On-Body Ultrawideband Propagation Model Derived From Measurements in Living Animals

Authors :
Sverre Brovoll
Jacob Bergsland
Per Steinar Halvorsen
Tor A. Ramstad
Ole-Johannes Grymyr
Ilangko Balasingham
Pal Anders Floor
Øyvind Aardal
Dirk Plettemeier
Svein-Erik Hamran
Raul Chavez-Santiago
Rafael Palomar
Source :
IEEE Journal of Biomedical and Health Informatics
Publication Year :
2015
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2015.

Abstract

Ultra wideband (UWB) radio technology for wireless implants has gained significant attention. UWB enables the fabrication of faster and smaller transceivers with ultra low power consumption, which may be integrated into more sophisticated implantable biomedical sensors and actuators. Nevertheless, the large path loss suffered by UWB signals propagating through inhomogeneous layers of biological tissues is a major hindering factor. For the optimal design of implantable transceivers, the accurate characterization of the UWB radio propagation in living biological tissues is indispensable. Channel measurements in phantoms and numerical simulations with digital anatomical models provide good initial insight into the expected path loss in complex propagation media like the human body, but they often fail to capture the effects of blood circulation, respiration, and temperature gradients of a living subject. Therefore, we performed UWB channel measurements within 1-6 GHz on two living porcine subjects because of the anatomical resemblance with an average human torso. We present for the first time a path loss model derived from these invivo measurements, which includes the frequency-dependent attenuation. The use of multiple on-body receiving antennas to combat the high propagation losses in implant radio channels was also investigated. This is the authors accepted and refereed manuscript to the article. (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Details

ISSN :
21682208 and 21682194
Volume :
19
Database :
OpenAIRE
Journal :
IEEE Journal of Biomedical and Health Informatics
Accession number :
edsair.doi.dedup.....b49aa20ffe7b25fb6feb0a302d4c7d3c
Full Text :
https://doi.org/10.1109/jbhi.2015.2417805