Autor: |
Helena Cano-Garcia, Rohit Kshirsagar, Roberto Pricci, Ahmed Teyeb, Fergus O’Brien, Shimul Saha, Panagiotis Kosmas, Efthymios Kallos |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
|
Zdroj: |
Sensors, Vol 21, Iss 9, p 3275 (2021) |
Druh dokumentu: |
article |
ISSN: |
1424-8220 |
DOI: |
10.3390/s21093275 |
Popis: |
We reported measurement results relating to non-invasive glucose sensing using a novel multiwavelength approach that combines radio frequency and near infrared signals in transmission through aqueous glucose-loaded solutions. Data were collected simultaneously in the 37–39 GHz and 900–1800 nm electromagnetic bands. We successfully detected changes in the glucose solutions with varying glucose concentrations between 80 and 5000 mg/dl. The measurements showed for the first time that, compared to single modality systems, greater accuracy on glucose level prediction can be achieved when combining transmission data from these distinct electromagnetic bands, boosted by machine learning algorithms. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
|
Nepřihlášeným uživatelům se plný text nezobrazuje |
K zobrazení výsledku je třeba se přihlásit.
|