Särestöniemi M. et al. (2019) Fat in the Abdomen Area as a Propagation Medium in WBAN Applications. In: Mucchi L., Hämäläinen M., Jayousi S., Morosi S. (eds) Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 297. Springer, Cham
Fat in the abdomen area as a propagation medium in WBAN applications
|Author:||Särestöniemi, Mariella1; Pomalaza Raez, Carlos2; Kissi, Chaïmaâ3;|
1Centre for Wireless Communications, University of Oulu, Oulu, Finland
2Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA
3Electronics and Telecommunication Systems Research Group, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra, Morocco
|Online Access:||PDF Full Text (PDF, 0.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019120245129
|Publish Date:|| 2019-12-02
This paper presents a study on the fat in the abdomen area as a propagation medium in wearable and implant communications systems. Propagation via subcutaneous and visceral fat is considered separately. Simulations and measurements are done for both female and male bodies with the on-body antennas designed for in-body communications. Propagation paths are calculated and compared with the simulated and measured impulse responses. Furthermore, we analyze simulated 2D power flow figures, which illustrate the propagation inside the different tissues. It is shown that the signal propagates through the fat layer with minor losses compared to the other tissues of the studied cases. The signal propagates through the fat tissue from the abdomen area to the backside of person with 60 dB power loss. Additionally, the calculated fat layer propagation paths match well with the peaks of the simulated and measured impulse responses. The information about the fat as propagation medium is useful when designing the wireless and wired medical and health monitoring devices.
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
|Pages:||175 - 187|
Body Area Networks : Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2019
|Host publication editor:||
EAI International Conference on Body Area Networks
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research has been financially supported by the project WBAN Communications in the Congested Environments and in part by Academy of Finland 6Genesis Flagship (grant 318927). Ilkka Virtanen, Timo Mäkinen, and Jari Sillanpää from University of Oulu deserve acknowledgement for their help to enable the exhaustive simulations. Dr. Sami Myllymäki is acknowledged for preparing the prototypes.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019. This is a post-peer-review, pre-copyedit version of an article published in EAI International Conference on Body Area Networks. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-34833-5_15.