• DocumentCode
    1615853
  • Title

    Hardware Implementation of a RSS Localization Algorithm for Wireless Capsule Endoscopy

  • Author

    Cicic, M. ; Teran, J.G. ; Stamenkovic, Zoran

  • Author_Institution
    IHP, Frankfurt, Germany
  • fYear
    2015
  • Firstpage
    301
  • Lastpage
    304
  • Abstract
    The paper presents an algorithm for localization of endoscopic capsules inside the human body. The goal is to determine the position of capsules by measuring the power of received electromagnetic signal on the human skin taking into account losses within the body. The algorithm was first developed and simulated in MATLAB. Simulation results prove its high accuracy and indicate the optimal antenna configuration. Then a C model was generated and modified to comply with standards of system-level modeling languages. Catapult C tool was used for system-level synthesis and generation of a RTL hardware model. Low power dissipation and small hardware area were achieved by ASIC implementation in a 130 nm bulk CMOS technology.
  • Keywords
    C++ language; CMOS integrated circuits; RSSI; application specific integrated circuits; biomedical electronics; body sensor networks; endoscopes; mathematics computing; nanoelectronics; nanomedicine; skin; ASIC implementation; C model; Catapult C tool; MATLAB; RSS localization algorithm; RTL hardware model generation; bulk CMOS technology; capsule position; hardware implementation; human body; human skin; optimal antenna configuration; power dissipation; received electromagnetic signal; size 130 nm; system-level modeling languages; system-level synthesis; wireless capsule endoscopy; Antennas; Endoscopes; Estimation; Hardware; Radio frequency; Signal to noise ratio; Wireless communication; Endoscopy; RF localization; hardware; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Diagnostics of Electronic Circuits & Systems (DDECS), 2015 IEEE 18th International Symposium on
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-6779-7
  • Type

    conf

  • DOI
    10.1109/DDECS.2015.40
  • Filename
    7195718