Warning: ini_set(): A session is active. You cannot change the session module's ini settings at this time in /home/memoriascnib/public_html/lib/pkp/classes/session/SessionManager.inc.php on line 69

Warning: Cannot modify header information - headers already sent by (output started at /home/memoriascnib/public_html/lib/pkp/classes/session/SessionManager.inc.php:69) in /home/memoriascnib/public_html/plugins/generic/citationStyleLanguage/CitationStyleLanguagePlugin.inc.php on line 478

Warning: Cannot modify header information - headers already sent by (output started at /home/memoriascnib/public_html/lib/pkp/classes/session/SessionManager.inc.php:69) in /home/memoriascnib/public_html/plugins/generic/citationStyleLanguage/CitationStyleLanguagePlugin.inc.php on line 479
TY - JOUR AU - Silos Chincoya, G. AU - Martínez Oliva, G. G. AU - Chairez Oria, Jorge Isaac PY - 2021/11/30 Y2 - 2026/03/22 TI - Dispositivo de Monitoreo de Glucosa en Sangre No Invasivo mediante Infrarrojo Cercano JF - Memorias del Congreso Nacional de Ingeniería Biomédica JA - MCNIB VL - 8 IS - 1 SE - Bioinstrumentación, Biosensores, Bioimpedancia y Micro/Nano Tecnologías DO - UR - https://www.memoriascnib.mx/index.php/memorias/article/view/890 SP - 173-177 AB - <p>This researching study aims to report the development of a prototype device that may provide the estimation of the blood glucose concentration levels non-invasively using near-infrared transmission spectroscopy techniques. The system works in three stages: signal acquisition, calibration, and estimation of blood glucose concentration levels. The acquisition of the signal used an optical sensor based on a transimpedance circuit to obtain the different intensity changes of the emitting source in terms of voltage. The calibration of the proposed device was carried out taking as reference, the values of a commercial device that performs invasive blood glucose monitoring, with the aim of obtaining greater precision. In the last stage, the Lambert-Beer Law is mainly used to estimate glucose concentration. The proposed device presents a relationship between optical signals and variations in blood glucose levels with an accuracy of 90% in average which is statistically representative considering the class of non-invasive technology used for developing the proposed device.</p> ER -