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

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3 Citations (Scopus)

Abstract

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.
Original languageAmerican English
Pages (from-to)203-208
Number of pages182
JournalTechnology and health care : official journal of the European Society for Engineering and Medicine
DOIs
StatePublished - 1 Jan 2018

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Health care
Glucose
Monitoring
Computer vision
Blood Glucose
Blood

Cite this

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abstract = "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.",
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A non-invasive glucose level estimation in a multi-sensing health care monitoring system. / Alarcón-Paredes, Antonio; Rebolledo-Nandi, Zaic; Guzmán-Guzmán, Iris Paola; Yáñez-Márquez, Cornelio; Alonso, Gustavo Adolfo.

In: Technology and health care : official journal of the European Society for Engineering and Medicine, 01.01.2018, p. 203-208.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Yáñez-Márquez, Cornelio

AU - Alonso, Gustavo Adolfo

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