Design of peripheral edema measurement device for home use

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

Producción científica: Conference contribution

Resumen

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.

Idioma originalEnglish (US)
Título de la publicación alojada2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4387-4390
Número de páginas4
ISBN (versión digital)9781457702204
DOI
EstadoPublished - oct 13 2016
Publicado de forma externa
Evento38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duración: ago 16 2016ago 20 2016

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volumen2016-October
ISSN (versión impresa)1557-170X

Conference

Conference38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
País/TerritorioUnited States
CiudadOrlando
Período8/16/168/20/16

ASJC Scopus subject areas

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

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