skip to main content
10.1145/3109453.3109468acmotherconferencesArticle/Chapter ViewAbstractPublication PagesnanocomConference Proceedingsconference-collections
short-paper

A big-data layered architecture for analyzing molecular communications systems in blood vessels

Published:27 September 2017Publication History

ABSTRACT

We present a novel architecture for analyzing molecular communications systems in blood vessels for drug delivery and monitoring. This architecture leverages a big data platform for simultaneously using data produced by the existing simulation platforms, health records, and medical data acquisition systems. An included machine learning engine may provide useful insight for medical purposes.

References

  1. E. Alarcon et al. 2016. MolComML: The Molecular Communication Markup Language. In ACM NANOCOM'16. New York, NY, USA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. K. Asayama et al. 2014. Risk stratification by self-measured home blood pressure across categories of conventional blood pressure: a participant-level meta-analysis. PLoS Med. 11, 1 (Jan 2014), e1001591.Google ScholarGoogle ScholarCross RefCross Ref
  3. Uche A. K. Chude-Okonkwo, Reza Malekian, and B. T. Maharaj. 2015. Diffusion-controlled interface kinetics-inclusive system-theoretic propagation models for molecular communication systems. EURASIP Journal on Advances in Signal Processing 2015, 1 (27 Oct 2015), 89.Google ScholarGoogle ScholarCross RefCross Ref
  4. U. A. K. Chude-Okonkwo, R. Malekian, and B. T. Maharaj. 2016. Biologically Inspired Bio-Cyber Interface Architecture and Model for Internet of Bio-NanoThings Applications. IEEE Transactions on Communications 64, 8 (Aug 2016), 3444--3455. Google ScholarGoogle ScholarCross RefCross Ref
  5. U.A. Chude-Okonkwo et al. 2016. Molecular Communication Model for Targeted Drug Delivery in Multiple Disease Sites With Diversely Expressed Enzymes. IEEE Trans. on NanoBioscience 15, 3 (2016). Google ScholarGoogle ScholarCross RefCross Ref
  6. L. Felicetti, M. Femminella, and G. Reali. 2017. Congestion Control in Molecular Cyber-Physical Systems. IEEE Access 5 (2017), 10000--10011. Google ScholarGoogle ScholarCross RefCross Ref
  7. L. Felicetti, M. Femminella, G. Reali, and P. Lio. 2016. Applications of molecular communications to medicine: A survey. Nano Communication Networks 7 (2016), 27--45. Google ScholarGoogle ScholarCross RefCross Ref
  8. J. Keelan, E.M. L. Chung, and J.P. Hague. 2016. Simulated annealing approach to vascular structure with application to the coronary arteries. Royal Society Open Science 3, 2 (2016). Google ScholarGoogle ScholarCross RefCross Ref
  9. T. J. Niiranen et al. 2012. The International Database of HOme blood pressure in relation to Cardiovascular Outcome (IDHOCO): moving from baseline characteristics to research perspectives. Hypertens. Res. 35, 11 (Nov 2012), 1072--1079. Google ScholarGoogle ScholarCross RefCross Ref
  10. L. Thijs et al. 2007. The International Database of Ambulatory Blood Pressure in relation to Cardiovascular Outcome (IDACO): protocol and research perspectives. Blood Press Monit 12, 4 (Aug 2007), 255--262. Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. A big-data layered architecture for analyzing molecular communications systems in blood vessels

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        NanoCom '17: Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication
        September 2017
        169 pages
        ISBN:9781450349314
        DOI:10.1145/3109453
        • General Chairs:
        • Alan Davy,
        • John Federici

        Copyright © 2017 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 27 September 2017

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • short-paper

        Acceptance Rates

        Overall Acceptance Rate97of135submissions,72%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader