A capacitance-based sensor for hemodialysis cannulation training: A proof-of-concept study

Ravikiran Singapogu, Anand Jagannathan, Naren Nagarajan, Chris Moody, Guigen Zhang, David Cull

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we present a novel capacitance-based sensor for teaching hemodialysis cannulation skills. Initial results from a pilot experiment suggest that data from the sensor could be used to indicate puncture events in tissue-like materials.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 22, NextMed/MMVR 22
EditorsLi Fellander-Tsai, Kirby G. Vosburgh, James D. Westwood, Steven Senger, Susan W. Westwood, Cali M. Fidopiastis, Alan Liu
Pages379-382
Number of pages4
ISBN (Electronic)9781614996248
DOIs
StatePublished - 2016
EventMedicine Meets Virtual Reality 22, NextMed/MMVR 2016 - Los Angeles, United States
Duration: Apr 7 2016Apr 9 2016

Publication series

NameStudies in Health Technology and Informatics
Volume220
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceMedicine Meets Virtual Reality 22, NextMed/MMVR 2016
Country/TerritoryUnited States
CityLos Angeles
Period4/7/164/9/16

Keywords

  • Clinical skill
  • Medical devices
  • Medical simulation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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