Non-invasive Blood Glucose Estimation Using Multi-sensor Based Portable and Wearable System

被引：2

作者：

Mahmud, Tasfin ^{[1
]}

Limon, Mehedi Hossen ^{[1
]}

Ahmed, Sabbir ^{[1
]}

Rafi, Mohammad Zunaed ^{[1
]}

Ahamed, Borhan ^{[1
]}

Nitol, Shadman Shahriar ^{[1
]}

Mia, Md Yeasin ^{[1
]}

Choudhury, Rafat Emtiaz ^{[1
]}

Sakib, Adnan ^{[1
]}

Subhana, Arik ^{[1
]}

Shahnaz, Celia ^{[1
]}

机构：

[1] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka 1205, Bangladesh

来源：

2019 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC) | 2019年

关键词：

non-invasive; blood glucose; diabetes; wearable system; convolutional neural network; multi-sensor based system; photoplethysmography;

D O I：

10.1109/ghtc46095.2019.9033119

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Currently, invasive glucometers are widely used for monitoring blood glucose level. It is required to prick a finger of the subject to collect the blood sample. In this paper, a cost-effective wearable system is proposed to estimate the glucose level in a non-invasive way. Data are collected using different sensors such as photoplethysmography(PPG), galvanic skin response(GSR) and temperature sensor, and fed to a convolutional neural network (CNN) model. The model estimates the blood glucose level, which is comparable with the glucose level obtained with conventional invasive technique. This system is believed to help in monitoring blood glucose, which leads to control of diabetes and other related diseases.

引用

页码：438 / 442

页数：5

共 50 条

[1] A portable multi-sensor system for non-invasive measurement of biometrical data
Depari, A.
Flammini, A.
Rinaldi, S.
Vezzolia, A.
[J]. 26TH EUROPEAN CONFERENCE ON SOLID-STATE TRANSDUCERS, EUROSENSOR 2012, 2012, 47 : 1323 - 1326
[2] Multi-sensor data fusion for non-invasive continuous glucose monitoring
Huber, Daniel
Staedler, Nicolas
Falco-Jonasson, Lisa
Dewarrat, Francois
Talary, Mark
Caduff, Andreas
Stahel, Werner
[J]. 2007 PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2007, : 963 - +
[3] Comparative accuracy of optical sensor-based wearable system for non-invasive measurement of blood glucose concentration
Rodin, Dmitry
Kirby, Michael
Sedogin, Natallia
Shapiro, Yair
Pinhasov, Albert
Kreinin, Anatoly
[J]. CLINICAL BIOCHEMISTRY, 2019, 65 : 15 - 20
[4] Non-invasive Estimation of Blood Glucose
Sidley, Matthew
Venkataraman, Jayanti
[J]. 2013 IEEE APPLIED ELECTROMAGNETICS CONFERENCE (AEMC), 2013,
[5] A Portable Non-Invasive Blood Glucose Monitoring Device
Buda, R. A.
Addi, M. Mohd
[J]. 2014 IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES), 2014, : 964 - 969
[6] Estimation of blood glucose by non-invasive method using photoplethysmography
Habbu, Shraddha
Dale, Manisha
Ghongade, Rajesh
[J]. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2019, 44 (06):
[7] Estimation of blood glucose by non-invasive method using photoplethysmography
Shraddha Habbu
Manisha Dale
Rajesh Ghongade
[J]. Sādhanā, 2019, 44
[8] Wearable non-invasive blood glucose monitor system based on galvanic skin resistance measurement
Donelli, Massimo
Espa, Giuseppe
Feraco, Paola
Manekiya, Mohammedhusen
[J]. ELECTRONICS LETTERS, 2021, 57 (24) : 901 - 902
[9] A non-invasive microcontroller based estimation of blood glucose concentration by using a modified capacitive sensor at low frequency
Dutta, Abhinaba
Bera, Satish Chandra
Das, Kamalesh
[J]. AIP ADVANCES, 2019, 9 (10)
[10] Fusion of various optimisation based feature smoothing methods for wearable and non-invasive blood glucose estimation
Wei, Yiting
Ling, Bingo Wing-Kuen
Chen, Danni
Dai, Yuheng
Liu, Qing
[J]. IET SYSTEMS BIOLOGY, 2023, 17 (03) : 107 - 120

← 1 2 3 4 5 →