Skip to main navigation Skip to search Skip to main content

Monitoring diabetic patients by novel intelligent footwear system

  • Lin Shu
  • , Kai Ying Mai
  • , Xiaoming Tao
  • , Ying Li
  • , Wing Cheung Wong
  • , Ka Fai Lee
  • , Siu Leung Yip
  • , Wai Hung Anthony Shum
  • , Wai Lam Chan
  • , Chi Pang Yuen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Daily foot conditions, especially spatial and temporal plantar pressure distributions, are useful measures for monitoring diabetic patients from developing peripheral neuropathy and foot ulcerations. However, many of present foot monitoring systems are clumsy thus cannot be used for uncontrolled dynamic activities such as long-term outdoor use, and can easily interrupt wearer's natural gait by bulky components and complex connections as well as restriction in research laboratories and clinics. This paper presents the development of an intelligent footwear system, which is able to measure and record, during daily activities, spatial and temporal plantar pressure distributions, in-shoe temperature and humidity, centre of pressure (COP), and 3-axis accelerations. The intelligent footwear system demonstrated satisfactory accuracy, repeatability and wearing comfort, and has been used for dynamic foot monitoring of diabetic patients. The first clinical trial involved an H group of 10 healthy subjects and a DM group of 10 diabetic patients without peripheral neuropathy. This trial explored and identified differences of plantar pressure between the healthy and diabetic subjects in dynamic daily activities. The second trial started with a diabetic patient with healed toe amputation for the evaluation of effects of surgical procedures and treatments on diabetic patients.
Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Pages91-94
Number of pages4
ISBN (Print)9781467351294
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 2012 → 18 Dec 2012

Conference

Conference2012 International Conference on Computerized Healthcare, ICCH 2012
Country/TerritoryHong Kong
CityHong Kong
Period17/12/12 → 18/12/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diabetes
  • Fabric sensor
  • Foot
  • Plantar pressure

ASJC Scopus subject areas

  • Health Informatics

Fingerprint

Dive into the research topics of 'Monitoring diabetic patients by novel intelligent footwear system'. Together they form a unique fingerprint.

Cite this