Two measures of foot pressure image to detect foot drop of elderly diabetes sufferers

Majeed, Ammar and Chong, Albert K. (2020) Two measures of foot pressure image to detect foot drop of elderly diabetes sufferers. In: IEEE 10TH Symposium on Computer Applications and Industrial Electronics (ISCAIE 2020), 18 Apr - 19 Apr 2020, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 13 Feb 2022 23:25
Last Modified: 16 Mar 2022 00:33
Uncontrolled Keywords: diabetes, gait, wireless pressure sensor, foot drop index
Fields of Research (2008): 11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110699 Human Movement and Sports Science not elsewhere classified
Fields of Research (2020): 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320299 Clinical sciences not elsewhere classified
Socio-Economic Objectives (2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Socio-Economic Objectives (2020): 20 HEALTH > 2099 Other health > 209999 Other health not elsewhere classified
Identification Number or DOI: https://doi.org/10.1109/ISCAIE47305.2020.9108789
URI: http://eprints.usq.edu.au/id/eprint/45253

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