TY - JOUR
T1 - A non-invasive glucose level estimation in a multi-sensing health care monitoring system
AU - Alarcón-Paredes, Antonio
AU - Rebolledo-Nandi, Zaic
AU - Guzmán-Guzmán, Iris Paola
AU - Yáñez-Márquez, Cornelio
AU - Alonso, Gustavo Adolfo
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Android application
KW - Bluetooth communication
KW - Non-invasive glucose estimation
KW - biomedical parameters
KW - chronic diseases
KW - image analysis
KW - microcontroller
KW - mobile health care system
UR - http://www.scopus.com/inward/record.url?scp=85050225755&partnerID=8YFLogxK
U2 - 10.3233/THC-171075
DO - 10.3233/THC-171075
M3 - Artículo
C2 - 29125528
SN - 0928-7329
VL - 26
SP - 203
EP - 208
JO - Technology and Health Care
JF - Technology and Health Care
IS - 1
ER -