Blood Glucose Level Measurement from Breath Analysis

Authors: Tayyab Hassan, Talha Rehman, Qasim Abdul Aziz, Ahmad Salman

Abstract:

The constant monitoring of blood glucose level is necessary for maintaining health of patients and to alert medical specialists to take preemptive measures before the onset of any complication as a result of diabetes. The current clinical monitoring of blood glucose uses invasive methods repeatedly which are uncomfortable and may result in infections in diabetic patients. Several attempts have been made to develop non-invasive techniques for blood glucose measurement. In this regard, the existing methods are not reliable and are less accurate. Other approaches claiming high accuracy have not been tested on extended dataset, and thus, results are not statistically significant. It is a well-known fact that acetone concentration in breath has a direct relation with blood glucose level. In this paper, we have developed the first of its kind, reliable and high accuracy breath analyzer for non-invasive blood glucose measurement. The acetone concentration in breath was measured using MQ 138 sensor in the samples collected from local hospitals in Pakistan involving one hundred patients. The blood glucose levels of these patients are determined using conventional invasive clinical method. We propose a linear regression classifier that is trained to map breath acetone level to the collected blood glucose level achieving high accuracy.

Keywords: Blood glucose level, breath acetone concentration, diabetes, linear regression.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1474537

References:

[1] W. J. Germann and C. L. Stanfield, Principles of human physiology, San Francisco: Benjamin Cummings, 2002.
[2] Govada, A., Renumadhavi, C., & Ramesh, K. B. (2014). Non-invasive blood glucose measurement. International journal of advanced research in computer and communication engineering, 3(1), 5122-5125.
[3] Gilwon Yoon, Kye Jin Jeon, Yoen-Joo Kim, Sujin Kim, Jong Youn Lee "Reagentiess on-invasive Diagnosis of Blood Subst ces", Lasers and Electro-Optics, 200I.
[4] Waynant, R.W. and Chenault V. M. "Overview of non-invasive uid glucose measurement using optical techniques to maintain glucose control in diabetes mellitus." Vol. 12/2, 1998.
[5] "Forearm blood samples yield accurate results in home blood glucose monitors," Diabetes Week, pp. 17, November 8, 2003.
[6] A. Tura, A. Maran, G. Pacini, Non-invasive glucose monitoring: assessment of technologies and devices according to quantitative criteria, Diabetes Research and Clinical Practice 77 (2007) 16–40.
[7] Buford, Randall Jean, Eric C. Green, and Melanie J. McClung. "A microwave frequency sensor for non-invasive blood-glucose measurement." Sensors Applications Symposium, 2008. SAS 2008. IEEE. IEEE, 2008.
[8] Saasa, V., Malwela, T., Beukes, M., Mokgotho, M., Liu, C. P., & Mwakikunga, B. (2018). Sensing Technologies for Detection of Acetone in Human Breath for Diabetes Diagnosis and Monitoring. Diagnostics, 8(1), 12.
[9] Guo, D., Zhang, D., Zhang, L., & Lu, G. (2012). Non-invasive blood glucose monitoring for diabetics by means of breath signal analysis. Sensors and Actuators B: Chemical, 173, 106-113.
[10] Saeed, Syed Hasan, Z. Abbas, and B. Gopal. "Study of TGS 822 Sensor for Electronic Nose Applications, 1 (2)." (2009).
[11] Thati, A., Biswas, A., Chowdhury, S. R., & Sau, T. K. "Breath Acetone Based Non-Invasive Detection of Blood Glucose Levels" International Journal on Smart Sensing &Intelligent Systems8.2 (2015).
[12] Ping, W., Yi, T., Haibao, X., & Farong, S. (1997). A novel method for diabetes diagnosis based on electronic nose1. Biosensors and Bioelectronics, 12(9-10), 1031-1036.
[13] Arshak, K., Moore, E., Lyons, G. M., Harris, J., & Clifford, S. (2004). A review of gas sensors employed in electronic nose applications. Sensor review, 24(2), 181-198.
[14] Anas, M. N., Nurun, N. K, A.N. Noral, Normahira, M. "Non-invasive blood glucose measurement." Biomedica Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on. IEEE, 2012.