Skip to main navigation Skip to search Skip to main content

Insole plantar pressure systems in the gait analysis of post-stroke rehabilitation

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

20 Citations (Scopus)

Abstract

This article presents a review of the application of insole plantar pressure sensor system in recognition and analysis of the hemiplegic gait in stroke patients. Based on the review, tailor made 3D insoles for plantar pressure measurement were designed and fabricated. The function is to compare with that of conventional flat insoles. Tailor made 3D contour of the insole can improve the contact between insole and foot and enable sampling plantar pressure at a high reproducibility.

Original languageEnglish
Title of host publicationProceeding of the 2015 IEEE International Conference on Information and Automation
PublisherIEEE
Pages1784-1789
Number of pages6
ISBN (Electronic)9781467391047, 9781467391030
DOIs
Publication statusPublished - Aug 2015
Event2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics - Lijiang, Yunnan, China
Duration: 8 Aug 2015 → 10 Aug 2015
https://ieeexplore.ieee.org/xpl/conhome/7267673/proceeding

Publication series

NameIEEE International Conference on Information and Automation

Conference

Conference2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
Country/TerritoryChina
CityLijiang, Yunnan
Period8/08/15 → 10/08/15
Internet address

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

User-Defined Keywords

  • Gait
  • Hemiplegic
  • Insole
  • Pressure Sensor
  • Stroke Rehabilitation

Fingerprint

Dive into the research topics of 'Insole plantar pressure systems in the gait analysis of post-stroke rehabilitation'. Together they form a unique fingerprint.

Cite this