About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
cogcom 16(8): e3

Research Article

Frequency Modulation based Resistive Sensing for Wearable Galvanic Skin Response

Download1789 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eai.28-9-2015.2261514,
        author={Md Shamsul Arefin and Jean-Michel Redoute and Mehmet Yuce},
        title={Frequency Modulation based Resistive Sensing for Wearable Galvanic Skin Response},
        journal={EAI Endorsed Transactions on Cognitive Communications},
        volume={2},
        number={8},
        publisher={ACM},
        journal_a={COGCOM},
        year={2015},
        month={12},
        keywords={galvanic skin response, frequency modulation, frequency-to-voltage converter},
        doi={10.4108/eai.28-9-2015.2261514}
    }
    
  • Md Shamsul Arefin
    Jean-Michel Redoute
    Mehmet Yuce
    Year: 2015
    Frequency Modulation based Resistive Sensing for Wearable Galvanic Skin Response
    COGCOM
    EAI
    DOI: 10.4108/eai.28-9-2015.2261514
Md Shamsul Arefin1,*, Jean-Michel Redoute1, Mehmet Yuce1
  • 1: Monash University
*Contact email: md.arefin@monash.edu

Abstract

This paper presents a frequency modulation based readout circuit for the measurement of skin conductance or resistance. A charge pump based frequency-to-voltage converter circuit with adjustable sensitivity is used to convert the frequency shifts due to skin resistance changes into voltage variations. The readout circuit improves the measurement accuracy and artifact rejection in measurements of the galvanic skin response on the skin, and can be integrated with wearable physiological monitoring systems. The readout circuit is designed and fabricated using the UMC 0.18 µm CMOS technology. It occupies an area of 0.18 mm2 and consumes 11.7 mW.

Keywords
galvanic skin response, frequency modulation, frequency-to-voltage converter
Published
2015-12-14
Publisher
ACM
http://dx.doi.org/10.4108/eai.28-9-2015.2261514

Copyright © 2015 M. S. Arefin Ramachandran et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL