A non-invasive glucose level estimation in a multi-sensing health care monitoring system

Antonio Alarcón-Paredes, Zaic Rebolledo-Nandi, Iris Paola Guzmán-Guzmán, Cornelio Yáñez-Márquez, Gustavo Adolfo Alonso

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

5 Citas (Scopus)

Resumen

BACKGROUND AND OBJECTIVE: The treatment and care of patients with chronic diseases depends directly on the evolution of biomedical parameters. It is important to have a monitoring health care system that provides biomedical data at any time and place. Here, a multi-sensing health care monitoring system with a built-in non-invasive blood glucose level estimation method is presented.

METHODS: Six biomedical parameters were obtained from 15 participants. Glucose levels were obtained using a computer vision approach. A standard glucose laboratory test was taken as a baseline, and a commercial glucometer as a secondary reference. The remaining parameters were also contrasted with a commercial vital signs monitor.

RESULTS: In comparison to standard test, our proposal reported a better performance (RMSE of 9.811) than obtained with the commercial glucometer; the Mann-Whitney test found no significant differences. The remaining biomedical parameters exhibit similar results to the commercial vital signs monitor as validated by a cardiologist.

CONCLUSION: The results suggest the proposed approach could be considered highly competitive regarding standard tests and validated with commercial health care monitoring systems.

Idioma originalInglés
Páginas (desde-hasta)203-208
Número de páginas6
PublicaciónTechnology and Health Care
Volumen26
N.º1
DOI
EstadoPublicada - 2018

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