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Body Area Networks. Smart IoT and Big Data for Intelligent Health. 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings

Research Article

Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics

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  • @INPROCEEDINGS{10.1007/978-3-030-64991-3_3,
        author={Mariella S\aa{}rest\o{}niemi and Carlos Pomalaza-Raez and Jaakko Hakala and Sami Myllym\aa{}ki and Joni Kilpij\aa{}rvi and Jari Iinatti and Matti H\aa{}m\aa{}l\aa{}inen and Teemu Myllyl\aa{}},
        title={Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics},
        proceedings={Body Area Networks. Smart IoT and Big Data for Intelligent Health. 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings},
        proceedings_a={BODYNETS},
        year={2020},
        month={12},
        keywords={Bio-matched horn antenna Brain hemorrhage Dielectric properties Early diagnosis Propagation loss Radio channel analysis},
        doi={10.1007/978-3-030-64991-3_3}
    }
    
  • Mariella Särestöniemi
    Carlos Pomalaza-Raez
    Jaakko Hakala
    Sami Myllymäki
    Joni Kilpijärvi
    Jari Iinatti
    Matti Hämäläinen
    Teemu Myllylä
    Year: 2020
    Detection of Brain Hemorrhage in White Matter Using Analysis of Radio Channel Characteristics
    BODYNETS
    Springer
    DOI: 10.1007/978-3-030-64991-3_3
Mariella Särestöniemi1,*, Carlos Pomalaza-Raez2, Jaakko Hakala3, Sami Myllymäki4, Joni Kilpijärvi4, Jari Iinatti1, Matti Hämäläinen1, Teemu Myllylä3
  • 1: Centre for Wireless Communications
  • 2: Department of Electrical and Computer Engineering
  • 3: Optoelectronics and Measurement Techniques Research Unit, Faculty of Information Technology and Electrical Engineering
  • 4: Microelectronics Research Unit, Faculty of Information Technology and Electrical Engineering
*Contact email: mariella.sarestoniemi@oulu.fi

Abstract

This paper presents a simulation-based study on detection of stroke/brain hemorrhage even in the white matter using radio channel characteristics analysis. The idea is to utilize the fact that blood has different dielectric properties than brain’s white and grey matters and, thus, additional blood areas inside the brain change radio channel characteristics between the transmitter and receiver antennas located on the opposite sides of the head. The antennas should be strongly directive and designed to work attached to the body surface so that hemorrhages even in the white matter could be detected. The study is conducted using the electromagnetic simulation software CST and two different simulation models: a spherical tissue layer model and an anatomical voxel model. The antennas used in this study are bio-matched mini-horn antennas designed for implant communications at 1–4 GHz frequency range. Different sizes of the blood areas are evaluated. This initial study shows how even small sizes of hemorrhage can change radio channel even as the hemorrhage is located in the middle of the brain, in the white matter. The path loss difference is 0.5–10 dB between the hemorrhage and reference cases depending on the size and location of the hemorrhage. A practical solution of this hemorrhage detection technique could be a portable helmet type of structure having several small sized antennas around the internal part of the helmet. Such a helmet would be easy to use e.g. in ambulance, which would enable early detection of hemorrhage in its early phase and, hence, improve prospects of the cure significantly.

Keywords
Bio-matched horn antenna Brain hemorrhage Dielectric properties Early diagnosis Propagation loss Radio channel analysis
Published
2020-12-15
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-64991-3_3
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