scholarly journals Wearable non‐invasive blood glucose monitor system based on galvanic skin resistance measurement

2021 ◽  
Author(s):  
Massimo Donelli ◽  
Giuseppe Espa ◽  
Paola Feraco ◽  
Mohammedhusen Manekiya
2021 ◽  
pp. 193229682110541
Author(s):  
Farid Sanai ◽  
Arshman S. Sahid ◽  
Jacqueline Huvanandana ◽  
Sandra Spoa ◽  
Lachlan H. Boyle ◽  
...  

Background: Frequent blood glucose level (BGL) monitoring is essential for effective diabetes management. Poor compliance is common due to the painful finger pricking or subcutaneous lancet implantation required from existing technologies. There are currently no commercially available non-invasive devices that can effectively measure BGL. In this real-world study, a prototype non-invasive continuous glucose monitoring system (NI-CGM) developed as a wearable ring was used to collect bioimpedance data. The aim was to develop a mathematical model that could use these bioimpedance data to estimate BGL in real time. Methods: The prototype NI-CGM was worn by 14 adult participants with type 2 diabetes for 14 days in an observational clinical study. Bioimpedance data were collected alongside paired BGL measurements taken with a Food and Drug Administration (FDA)-approved self-monitoring blood glucose (SMBG) meter and an FDA-approved CGM. The SMBG meter data were used to improve CGM accuracy, and CGM data to develop the mathematical model. Results: A gradient boosted model was developed using a randomized 80-20 training-test split of data. The estimated BGL from the model had a Mean Absolute Relative Difference (MARD) of 17.9%, with the Parkes error grid (PEG) analysis showing 99% of values in clinically acceptable zones A and B. Conclusions: This study demonstrated the reliability of the prototype NI-CGM at collecting bioimpedance data in a real-world scenario. These data were used to train a model that could successfully estimate BGL with a promising MARD and clinically relevant PEG result. These results will enable continued development of the prototype NI-CGM as a wearable ring.


2002 ◽  
Vol 19 (4) ◽  
pp. 101-103 ◽  
Author(s):  
H Lenzen ◽  
BA Barrow ◽  
S White ◽  
RR Holman

Author(s):  
A. Duncan ◽  
J. Hannigan ◽  
S.S. Freeborn ◽  
P.W.H. Rae ◽  
B. McIver ◽  
...  

2015 ◽  
Vol 10 (3) ◽  
pp. 697-707 ◽  
Author(s):  
David C. Klonoff ◽  
Courtney Lias ◽  
Stayce Beck ◽  
Joan Lee Parkes ◽  
Boris Kovatchev ◽  
...  

2018 ◽  
Vol 30 (02) ◽  
pp. 1850009 ◽  
Author(s):  
U. Snekhalatha ◽  
T. Rajalakshmi ◽  
C. H. Vinitha Sri ◽  
G. Balachander ◽  
K. S. Shankar

Diabetes is a chronic disease due to the lack of production of hormone insulin by the beta cells in the islets of Langerhans. Many diabetic patients often draw a small amount of blood to measure the glucose level every day. This vital information is needed to control their daily food intake. One such method could cause infection and discomfort to the patient. Non-invasive glucose measurement techniques overcome these challenges to monitor blood glucose level continuously. The aim and objective of this study are as follows: (i) to correlate the skin resistance based on Galvanic skin response (GSR) and blood glucose level for diabetic and non-diabetic subject and (ii) to estimate the blood glucose value based on GSR voltage and resistance using stepwise linear regression model. About 50 diabetic and 50 non-diabetic subjects were included in this study. Blood glucose level is recorded using the minimally invasive device called accu-chek for all the subjects. GSR resistance and GSR voltage were recorded using the designed instrumentation setup. In diabetic subjects, the measured blood glucose level shows negative correlation with the GSR voltage ([Formula: see text], [Formula: see text]) and GSR resistance ([Formula: see text], [Formula: see text]). The estimated blood glucose level can be predicted with good sensitivity (94%) and accuracy (92%) using age and GSR voltage, or by the combination of age and GSR resistance in the evaluation of diabetic subjects.


2009 ◽  
Vol 2009 (6) ◽  
pp. 108-112 ◽  
Author(s):  
Jianming Zhu ◽  
Zhencheng Chen ◽  
Xingliang Jin ◽  
Diya Wang
Keyword(s):  

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