TY - GEN
T1 - An electronic equipment for automatic insulin dosage based on digital image processing
AU - Alarcon, Miguel
AU - Torobeo, David
AU - Kemper, Guillermo
AU - Lau, Kalun
AU - López, Jorge
AU - Soto, Alonso
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - The present work proposes an electronic equipment oriented to insulin dosage with automatic control of the filling process in a syringe, using digital image processing. The equipment aim to improve the precision of the dosage, which is often carried out manually and inaccurately. The proposed system is made up of a mechanical part composed of endless screw, couplers and steppers motors. This allows the plunger of the syringe to be vertically moved and the container containing insulin punctured. It also presents a camera for the acquisition of images and an algorithm implemented in a reduced-board computer. The algorithm detects the level of filling by image processing and determines if the amount of insulin is appropriate according to the data entered by the user. The stages of processing involve thresholding, averaging filtering, detection of the syringe plunger and determination of the filling level by contrast and intensity change. The validation of the equipment was made from the absolute error of the filling volume achieving an average absolute error of 0.00106ml with respect to the indicated value.
AB - The present work proposes an electronic equipment oriented to insulin dosage with automatic control of the filling process in a syringe, using digital image processing. The equipment aim to improve the precision of the dosage, which is often carried out manually and inaccurately. The proposed system is made up of a mechanical part composed of endless screw, couplers and steppers motors. This allows the plunger of the syringe to be vertically moved and the container containing insulin punctured. It also presents a camera for the acquisition of images and an algorithm implemented in a reduced-board computer. The algorithm detects the level of filling by image processing and determines if the amount of insulin is appropriate according to the data entered by the user. The stages of processing involve thresholding, averaging filtering, detection of the syringe plunger and determination of the filling level by contrast and intensity change. The validation of the equipment was made from the absolute error of the filling volume achieving an average absolute error of 0.00106ml with respect to the indicated value.
KW - Automatic dosage
KW - diabetes
KW - glucose
KW - image processing
KW - insulin therapy
UR - https://www.scopus.com/pages/publications/85062180704
U2 - 10.1109/ICA-ACCA.2018.8609833
DO - 10.1109/ICA-ACCA.2018.8609833
M3 - Contribución a la conferencia
AN - SCOPUS:85062180704
T3 - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings
BT - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
A2 - Duran-Faundez, Cristian
A2 - Lefranc, Gaston
A2 - Fernandez-Fernandez, Mario
A2 - Munoz, Carlos
A2 - Rubio, Ernesto
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
Y2 - 17 October 2018 through 19 October 2018
ER -