دورية أكاديمية
Early detection of diabetic foot ulcer using IoT and ML
| العنوان: | Early detection of diabetic foot ulcer using IoT and ML |
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| المؤلفون: | Berugu Sanjana, Bajjuri Nagaraju, Reddy M. Shiva, Ramya T. |
| المصدر: | MATEC Web of Conferences, Vol 392, p 01152 (2024) |
| بيانات النشر: | EDP Sciences, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | diabetic foot ulcer, diabetes mellitus, sensors, wearable shoe, internet of things, ml algorithms, alert system, Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | This study explores the critical realm of Diabetic Foot Ulcers (DFUs) and proposes an innovative approach for early detection using Internet of Things (IoT) and Machine Learning (ML). A chronic metabolic condition with elevated blood glucose levels is called diabetes mellitus. A foot ulcer is an open wound that is typically located beneath the feet. It can be shallow and less severe, occurring just below the skin's surface, or it can be deep and expose the bones, tendons, and joints. However, diabetes patients may be able to avoid complications from diabetic foot ulcers if early prophylaxis is practiced. One of the complications that this condition is frequently linked to is diabetic foot ulcers. Focusing on Diabetes Mellitus, the chronic metabolic condition leading to DFUs, the study introduces a wearable shoe prototype equipped with temperature and pressure sensors. This IoT-enabled device facilitates daily foot evaluation at home, allowing for timely identification of early symptoms and severity monitoring. By integrating ML algorithms, the real-time ulcer detection system aims to prevent complications, reduce amputations, and enhance proactive diabetic care. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English French |
| تدمد: | 2261-236X |
| Relation: | https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01152.pdf; https://doaj.org/toc/2261-236X |
| DOI: | 10.1051/matecconf/202439201152 |
| URL الوصول: | https://doaj.org/article/45f826eba3f14c3ab149fe53d12d89b8 |
| رقم الأكسشن: | edsdoj.45f826eba3f14c3ab149fe53d12d89b8 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 2261236X |
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| DOI: | 10.1051/matecconf/202439201152 |