TY - GEN
T1 - Noninvasive Blood Glucose Measurement Using Live Video by Smartphone
AU - Sumaiya, Jannatun
AU - Hasan, Md Rakibul
AU - Hossain, Eklas
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - In this paper, we have presented the noninvasive monitoring of blood glucose concentration that was performed by using the smartphones camera, different lighting sources, and the near infra-spectroscopy used by transmission photoplethysmography (PPG). The system implementation was associated with getting the PPG signal at the near infra wavelengths of 850 nm and 1070 nm. The processing of the photoplethysmography (PPG) signal was carried out with the Linear Regression (LR), Support Vector Regression (SVR), Deep Neural Network (DNN), and Random Forest Regression (RFR) for estimating the glucose level in the blood. We have collected three sets of data and analyzed them using the Python programming language to find out the relation between blood glucose concentration and photoplethysmography (PPG). The predicted glucose level was 4.7 mg/dl with respect to 5 mg/dl.
AB - In this paper, we have presented the noninvasive monitoring of blood glucose concentration that was performed by using the smartphones camera, different lighting sources, and the near infra-spectroscopy used by transmission photoplethysmography (PPG). The system implementation was associated with getting the PPG signal at the near infra wavelengths of 850 nm and 1070 nm. The processing of the photoplethysmography (PPG) signal was carried out with the Linear Regression (LR), Support Vector Regression (SVR), Deep Neural Network (DNN), and Random Forest Regression (RFR) for estimating the glucose level in the blood. We have collected three sets of data and analyzed them using the Python programming language to find out the relation between blood glucose concentration and photoplethysmography (PPG). The predicted glucose level was 4.7 mg/dl with respect to 5 mg/dl.
KW - Blood glucose
KW - Near infrared absorbance
KW - Noninvasive
KW - Photoplethysmography (PPG)
UR - http://www.scopus.com/inward/record.url?scp=85102030314&partnerID=8YFLogxK
U2 - 10.1109/R10-HTC49770.2020.9357018
DO - 10.1109/R10-HTC49770.2020.9357018
M3 - Conference contribution
AN - SCOPUS:85102030314
T3 - IEEE Region 10 Humanitarian Technology Conference, R10-HTC
BT - Proceedings of 2020 IEEE 8th R10 Humanitarian Technology Conference, R10-HTC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE R10 Humanitarian Technology Conference, R10-HTC 2020
Y2 - 1 December 2020 through 3 December 2020
ER -
