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A non-invasive glucose level estimation in a multi-sensing health care monitoring system.
- Source :
-
Technology & Health Care . 2018, Vol. 26 Issue 1, p203-208. 6p. - Publication Year :
- 2018
-
Abstract
- <bold>Background and Objective: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>The results suggest the proposed approach could be considered highly competitive regarding standard tests and validated with commercial health care monitoring systems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09287329
- Volume :
- 26
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Technology & Health Care
- Publication Type :
- Academic Journal
- Accession number :
- 128962960
- Full Text :
- https://doi.org/10.3233/THC-171075