Show simple item record

AuthorKhandakar, Amith
AuthorChowdhury, Muhammad E. H.
AuthorReaz, Mamun Bin Ibne
AuthorKiranyaz, Serkan
AuthorHasan, Anwarul
AuthorRahman, Tawsifur
AuthorAli, Sawal Hamid Md.
AuthorRazak, Mohd Ibrahim bin Shapiai @ Abd.
AuthorBakar, Ahmad Ashrif A.
AuthorPodder, Kanchon Kanti
AuthorChowdhury, Moajjem Hossain
AuthorFaisal, Md. Ahasan Atick
AuthorMalik, Rayaz A.
Available date2023-04-17T06:57:40Z
Publication Date2023
Publication NameIEEE Sensors Journal
ResourceScopus
URIhttp://dx.doi.org/10.1109/JSEN.2023.3235252
URIhttp://hdl.handle.net/10576/41922
AbstractDiabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations in foot pressure and temperature may help to detect DSPN and the risk of DFU. We have applied a robust machine-learning approach to identify patients with severe DSPN using standing foot temperature maps generated using temperature sensor data. A robust shallow operational neural network model DSPNet is proposed. The study utilized a labeled dataset from the University Hospital Magdeburg, Magdeburg, Germany, consisting of temperature sensor data from eight different points on the foot in seating and standing positions in patients with severe DSPN (n =25) and healthy controls (n =18). The proposed network achieved an F1 score of 90.3% for identifying patients with DSPN and outperformed current state-of-the-art deep-learning network methods. This is the first of its kind of research where the results confirm that temperature maps are not only effective in the detection of those at high risk of DFU but also in identifying patients with severe DSPN. Such sensors could easily be incorporated into smart insoles. 2001-2012 IEEE.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDeep learning
diabetic foot
diabetic sensorimotor polyneuropathy (DSPN)
noninvasive diagnosis
plantar foot temperature map
self-operational neural network
TitleDSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
TypeArticle
Pagination5370-5381
Issue Number5
Volume Number23
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record