Title :
Development of a non-invasive blood glucose monitor: application of artificial neural networks for signal processing
Author :
Savage, Mark B. ; Kun, Stevan ; Harjunmaa, Hannu ; Peura, Robert A.
Author_Institution :
Dept. of Biomed. Eng., Worcester Polytech. Inst., MA, USA
Abstract :
We have developed a noninvasive blood glucose measuring instrument, based on application of the Optical BridgeTM in the near-infrared region. This exploratory research is an endeavor to evaluate the possibility of increasing the performance of the noninvasive glucose monitor by employing Artificial Neural Networks (ANN). The objective of this research is to design an ANN to interpret the instrument´s outputs as well as the system parameters, and correlate them with blood glucose levels. The main hypothesis of this project is that such an ANN can be designed to improve the performance of this instrument
Keywords :
backpropagation; bio-optics; biomedical measurement; biosensors; blood; feedforward neural nets; fuzzy neural nets; infrared spectroscopy; medical signal processing; optical sensors; patient monitoring; spectrochemical analysis; Optical Bridge; artificial neural networks; backpropagation; diabetes; differential absorbance; near-infrared region; noninvasive blood glucose monitor; signal processing; training; Artificial neural networks; Biomedical optical imaging; Blood; Diabetes; Instruments; Monitoring; Optical sensors; Optical signal processing; Sugar; Wavelength measurement;
Conference_Titel :
Bioengineering Conference, 2000. Proceedings of the IEEE 26th Annual Northeast
Conference_Location :
Storrs, CT
Print_ISBN :
0-7803-6341-8
DOI :
10.1109/NEBC.2000.842363
