A non-invasive glucose level estimation in a multi-sensing health care monitoring system.
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ID: 22350
2018
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Abstract
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.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.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.The results suggest the proposed approach could be considered highly competitive regarding standard tests and validated with commercial health care monitoring systems.
| Reference Key |
alarcnparedes2018atechnology
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| Authors | Alarcón-Paredes, Antonio;Rebolledo-Nandi, Zaic;Guzmán-Guzmán, Iris Paola;Yáñez-Márquez, Cornelio;Alonso, Gustavo Adolfo; |
| Journal | technology and health care : official journal of the european society for engineering and medicine |
| Year | 2018 |
| DOI |
10.3233/THC-171075
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| URL | |
| Keywords | Keywords not found |
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