Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings

Research Article

Fat in the Abdomen Area as a Propagation Medium in WBAN Applications

  • @INPROCEEDINGS{10.1007/978-3-030-34833-5_15,
        author={Mariella S\aa{}rest\o{}niemi and Carlos Raez and Cha\~{n}ma\~{a} Kissi and Timo Kumpuniemi and Marko Sonkki and Matti H\aa{}m\aa{}l\aa{}inen and Jari Iinatti},
        title={Fat in the Abdomen Area as a Propagation Medium in WBAN Applications},
        proceedings={Body Area Networks:  Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings},
        proceedings_a={BODYNETS},
        year={2019},
        month={11},
        keywords={Anatomical voxel model Capsule endoscopy Directive antenna Finite integration technique Gastrointestinal monitoring Implant communications Power distribution Radio channel Wireless body area networks},
        doi={10.1007/978-3-030-34833-5_15}
    }
    
  • Mariella Särestöniemi
    Carlos Raez
    Chaïmaâ Kissi
    Timo Kumpuniemi
    Marko Sonkki
    Matti Hämäläinen
    Jari Iinatti
    Year: 2019
    Fat in the Abdomen Area as a Propagation Medium in WBAN Applications
    BODYNETS
    Springer
    DOI: 10.1007/978-3-030-34833-5_15
Mariella Särestöniemi1,*, Carlos Raez2, Chaïmaâ Kissi3, Timo Kumpuniemi1, Marko Sonkki1, Matti Hämäläinen1, Jari Iinatti1
  • 1: University of Oulu
  • 2: Purdue University
  • 3: Ibn Tofail University
*Contact email: mariella.sarestoniemi@oulu.fi

Abstract

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.