Design of peripheral edema measurement device for home use

Stephanie M. George, Brandon D. Langley, Elizabeth M.B. Weaver, Sonya R. Hardin, Jianchu Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to improvements in cardiovascular care, more patients are living longer but ultimately developing heart failure. It is important for patients with chronic conditions, like heart failure, to self-manage and monitor their symptoms. One symptoms that can be indicative of worsening heart failure is peripheral edema. Therefore, we present a concept for a HeartSMART system capable of edema measurement in the home with remote connection to and feedback from providers. The goal of the system is to provide a tool for heart failure patients to manage their disease. The work presented herein describes the system design and preliminary testing using simulated edema models. The system uses displacement and force sensors and mimics the gold standard finger indentation performed by care providers. The results for the edema models (foam) show increasing displacement with edema severity.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4387-4390
Number of pages4
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Externally publishedYes
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2016-October
ISSN (Print)1557-170X

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/TerritoryUnited States
CityOrlando
Period8/16/168/20/16

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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