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

作者：Alarcon Paredes Antonio; Rebolledo Nandi Zaic; Paola Guzman Guzman Iris; Yanez Marquez Cornelio; Adolfo Alonso Gustavo

来源：Technology and Health Care, 2018, 26(1): 203-208.

DOI：10.3233/THC-171075

• Non-invasive glucose estimation
• chronic diseases
• biomedical parameters
• microcontroller
• Bluetooth communication
• mobile health care system
• Android application
• image analysis

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.

• 出版日期2018