Abstract
In this cross-sectional study, we examined the abundance of blood glucose meter (BGM) models in the Polish and German medical device markets and their technical specifications. Information from a medical equipment wholesaler’s database was gathered for comparison of BGMs from five manufacturers: Roche Diabetes Care, LifeScan Inc, Abbott, Ascensia Diabetes Care, and Genexo, and for model Glucomaxx BT TaiDoc Technology Corporation. Key parameters such as blood sample size, measurement time, memory capacity, and measurement range were considered. An application was developed to aid in BGM selection for people with type 1 or type 2 diabetes. The results showed a high correlation with laboratory measurements and similarity in key functionalities between the models. The application, tested on 30 individuals aged 18 to 79 years, demonstrated stability, speed, and a user-friendly interface, facilitating efficient data processing and generating recommendations.
| Originalsprache | Englisch |
|---|---|
| Zeitschrift | Current Directions in Biomedical Engineering |
| Jahrgang | 10 |
| Ausgabenummer | 4 |
| Seiten (von - bis) | 204-205 |
| ISSN | 2364-5504 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 19.12.2024 |
| Veranstaltung | 58th Annual Meeting of the German Society of Biomedical Engineering (18 – 20 September 2024, Stuttgart) - Universität Stuttgart, Stuttgart, Deutschland Dauer: 18.09.2024 → 20.12.2024 Konferenznummer: 58 https://www.vde.com/bmt/rueckblick |
Strategische Forschungsbereiche und Zentren
- Zentren: Zentrum für Künstliche Intelligenz Lübeck (ZKIL)
- Querschnittsbereich: Intelligente Systeme
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
