Abstract

Footprint analysis is usually performed using a rudimentary process or traditional podoscope. The footprint evaluation is performed without incorporation of the measured data within the patient medical record. In this work, the footprint analysis is performed using a photo-podoscope connected to a personal computer where image processing techniques allow accurate estimation of clinical indexes, as well as incorporation of demographic and clinical data within patient medical record, that can be readily available through Internet. Validation of the proposed equipment is performed using a group of elderly people and considering as the ground truth the traditional assessment of footprint indexes by expert medical staff. Results show errors for the estimation of the Hernandez-Corvo index as low as 5.86% in a group of 18 elderly people.

Original languageEnglish
Title of host publication2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Place of PublicationEcuador
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538638941
ISBN (Print)978-1-5386-3895-8
DOIs
StatePublished - 4 Jan 2018
Event2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017 - Salinas, Ecuador
Duration: 16 Oct 201720 Oct 2017

Publication series

Name2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017
Volume2017-January

Conference

Conference2nd IEEE Ecuador Technical Chapters Meeting, ETCM 2017
Country/TerritoryEcuador
CitySalinas
Period16/10/1720/10/17

Keywords

  • Footprint Analysis
  • Hernandez-Corvo index
  • Patient medical record
  • Photo-Podoscope

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