Two measures of foot pressure image to detect foot drop of elderly diabetes sufferers
Paper
Paper/Presentation Title | Two measures of foot pressure image to detect foot drop of elderly diabetes sufferers |
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Presentation Type | Paper |
Authors | Majeed, Ammar (Author) and Chong, Albert K. (Author) |
Journal or Proceedings Title | Proceedings of the IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) |
Number of Pages | 5 |
Year | 2020 |
Place of Publication | United States |
ISBN | 9781728150338 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISCAIE47305.2020.9108789 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9108789 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9099008/proceeding |
Conference/Event | IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) |
Event Details | IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020) Parent IEEE Symposium on Computer Applications and Industrial Electronics Event Date 18 to end of 19 Apr 2020 Event Location Penang, Malaysia |
Abstract | Two new measures of foot pressure image have been established for studying the severity of foot drop of sufferers of diabetic peripheral neuropathy (DPN). These measures are: plantar distance travelled from heel; and apparent delay in forefoot travelled from 2nd metatarsal head to toe-off. These measures were obtained by precise marking of the conjugate second metatarsal head location and the conjugate pternion location, thus establishing the medial foot axis (MFA) on the pedobarograph. Using the plantar pressure pattern and recorded time of the pedobarograph, apparent plantar distance (PDH) and apparent 2nd metatarsal head to toe-off delay (MHTOD) were calculated. Healthy and diabetic older male and female adults were recruited from diabetic clinics and retirement homes in Kuala Lumpur Malaysia. The null hypothesis of comparing the DPN group and healthy group using PDH was accepted. However, MHTOD was not statistically verified as a suitable measure for DPN foot drop detection. This small clinical validation project showed that by utilizing plantar-pressure characteristics and precisely recorded time of the pedobarograph it would be possible to detect foot-drop issues accurately. |
Keywords | diabetes, gait, wireless pressure sensor, foot drop index |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 320299. Clinical sciences not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Civil Engineering and Surveying |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6xvv/two-measures-of-foot-pressure-image-to-detect-foot-drop-of-elderly-diabetes-sufferers
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