Indentation assessment of plantar foot tissue in diabetic patients

Yongping Zheng, Y. K.C. Choi, K. Wong, A. F.T. Mak

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

In this paper, we investigated the biomechanical properties of the plantar foot tissue in diabetic patients using an ultrasound indentation system. Four neuropathic diabetes mellitus (DM) patients and four normal subjects were chosen for this study. Indentation tests were performed at four sites (the 1st metatarsal head, 2nd metatarsal head, bigtoe and heel) in selected postures. The tissue thickness and effective Young's modulus were measured by the ultrasound indentation system. Statistic analyses showed that the Young's moduli of DM patients were significantly higher than those of normal subjects at various sites. Meanwhile, the tissue thicknesses of DM patients were significantly (p<0.05) lower than those of normal subjects. The Young's modulus at the 1st metatarsal head was significantly (p<0.05) higher than that at the other three sites in DM patients. This site dependence was not observed in the normal subjects.
Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages634
Number of pages1
Volume1
ISBN (Print)0780356756
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, United States
Duration: 13 Oct 199916 Oct 1999

Conference

ConferenceProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CountryUnited States
CityAtlanta, GA
Period13/10/9916/10/99

ASJC Scopus subject areas

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

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