Affiliations: [a] School of Engineering, Universidad Autónoma de Guerrero, Chilpancingo Guerrero, México | [b] School of Chemical-Biological Sciences, Universidad Autónoma de Guerrero, Chilpancingo Guerrero, México | [c] Center for Computing Research, Instituto Politécnico Nacional, Ciudad de México, México
Correspondence:
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Corresponding author: Gustavo Adolfo Alonso, Laboratory of Computing Technologies and Electronics, School of Engineering, Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas s/n, Ciudad Universitaria Zona Sur, 39087, Chilpancingo Guerrero, México. Tel.: +52 1 747 112 2838; E-mail: gsilverio@uagro.mx.
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.
Keywords: Non-invasive glucose estimation, chronic diseases, biomedical parameters, microcontroller, Bluetooth communication, mobile health care system, Android application, image analysis
