IDr: An Intelligent Digital Ruler App for Remote Wound Assessment

Adam Yee, Mihir Patel, Ethan Wu, Steven Yi, Guy Marti, John Harmon

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

2 Scopus citations

Abstract

In this paper, we propose an innovative mobile app for remote wound growth measurement, tracking, and diagnosis. Through the collected 150 videos and over 400 measurements, we found that the proposed app showed an average relative area error of 1.87%, and was also able to accurately distinguish between the three typical wound tissues. Once the app is fully automated and integrated with other mHealth sensors, we expect it will significantly reduce the treatment costs, the mortality rate, and amputation rate.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 1st International Conference on Connected Health
Subtitle of host publicationApplications, Systems and Engineering Technologies, CHASE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-381
Number of pages2
ISBN (Electronic)9781509009435
DOIs
StatePublished - Aug 16 2016
Event1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016 - Washington, United States
Duration: Jun 27 2016Jun 29 2016

Publication series

NameProceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016

Other

Other1st IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016
Country/TerritoryUnited States
CityWashington
Period6/27/166/29/16

Keywords

  • app
  • mHealth
  • remote
  • wound

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management
  • Biomedical Engineering
  • Computer Networks and Communications
  • Hardware and Architecture

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