S'abonner

Synchronized Diabetes Monitoring System: Development of Smart Mobile Apparatus for Diabetes Using Insulin - 08/08/24

Doi : 10.1016/j.irbm.2024.100852 
Mustafa Kahraman a, b, , Hatice Vildan Dudukcu c , Serkan Kurt c , Huseyin Yildiz d , Nizamettin Aydin e , Ummu Mutlu f , Ramazan Cakmak f , Elif Beyza Boz g , Hasan Ediz Ozbek g , Mehmet Ali Erturk h , Gokhan Ozogur i , Hatice Nizam Ozogur i , Muhammed Ali Aydin i , Kubilay Karsidag f , Sukru Ozturk j , Ilhan Satman f , Mehmet Akif Karan k
a TUSEB Turkey Institute of Public Health and Chronic Diseases, Istanbul, Turkey 
b Istanbul University, Istanbul Faculty of Medicine, Department of Physiology, Istanbul, Turkey 
c Yildiz Technical University, Department of Electronics and Communication Engineering, Istanbul, Turkey 
d Istanbul University-Cerrahpasa, Department of Mechanical and Metal Technologies, Istanbul, Turkey 
e Yildiz Technical University, Department of Computer Engineering, Istanbul, Turkey 
f Istanbul University, Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Endocrine and Metabolic Diseases, Istanbul, Turkey 
g Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey 
h Istanbul University, School of Transportation and Logistics, Department of Transportation and Logistics, Istanbul, Turkey 
i Istanbul University-Cerrahpasa, Department of Computer Engineering, Istanbul, Turkey 
j Istanbul University, Istanbul Faculty of Medicine, Department of Internal Medicine, Istanbul, Turkey 
k Istanbul University, Istanbul Faculty of Medicine, Department of Internal Medicine, Division of Geriatrics, Istanbul, Turkey 

Corresponding author at: TUSEB Turkey Institute of Public Health and Chronic Diseases, Istanbul, Turkey.TUSEB Turkey Institute of Public Health and Chronic DiseasesIstanbulTurkey

Abstract

Accurate and timely injection of insulin doses in accordance with the treatment protocol is very important in the follow-up of insulin-dependent diabetes patients. In this study, a new smart mobile apparatus (SMA) has been developed. The SMA can be attached to insulin pens and record and transfer data by detecting the patient's dose of insulin and the time at which it was provided. The SMA can detect the dose determined in the insulin pen through linear capacitive sensors. Electronic parts and sensor mechanism are located on the designed SMA body. The insulin pen's two-part mechanical construction of the body senses movement during dosage adjustment while also making sure the dose information is recorded in the control unit. The dose and time information recorded in the SMA internal memory are transmitted to the patient's smartphone via the developed mobile application. The developed SMA prototypes were evaluated by a team of doctors in a hospital setting for three months. As a result of the three-month study, it was observed that the insulin dose and administration times could be accurately sent to the smartphone application via SMA. The SMA was created in the laboratory environment and was prepared for pilot research with insulin-dependent diabetes patients in a hospital setting. It was observed that the SMA prototype successfully identified and recorded the dose and timing of the patient's self-administered insulin.

Le texte complet de cet article est disponible en PDF.

Graphical abstract

Le texte complet de cet article est disponible en PDF.

Highlights

A Smart Mobile Apparatus (SMA) was developed to track diabetics' insulin injections.
SMA helps users to control blood sugar levels by recording insulin dosages.
SMA provides information to doctors and allows them to optimize treatment protocols.
SMA is user-friendly, modular, and reusable in design.

Le texte complet de cet article est disponible en PDF.

Keywords : Diabetes mellitus, Wearable health technologies, Patient monitoring, Insulin dose tracking, Smart mobile apparatus


Plan


© 2024  AGBM. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 45 - N° 5

Article 100852- octobre 2024 Retour au numéro
Article suivant Article suivant
  • Interpersonal Motor Coordination in Children with Autism and the Establishment of Machine Learning Models to Objectively Classify Children with Autism and Typical Development
  • Zhong Zhao, Xue Zhang, Xiaobin Zhang, Xingda Qu, Xinyao Hu, Jianping Lu

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2024 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.