Random Forest Analysis of Combined Millimeter-Wave and Near-Infrared Sensing for Noninvasive Glucose Detection

Recently, great progress has been achieved in diabetes management through minimally invasive continuous glucose monitoring, which involves piercing the skin to identify changes in glucose levels in the interstitial fluid. Nevertheless, the development of accurate fully noninvasive (NI) glucose monit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE sensors journal 2023-09, Vol.23 (17), p.20294-20309
Hauptverfasser:	Sun, Yuyang, Cano-Garcia, Helena, Kallos, Efthymios, O’Brien, Fergus, Akintonde, Adeyemi, Motei, Diana-Elena, Ancu, Oana, Mackenzie, Richard William Alexander, Kosmas, Panagiotis
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Error analysis Glucose Glucose monitoring Infrared analysis Machine learning Millimeter waves Model testing Monitoring Near infrared radiation Skin temperature
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!