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Khalil, O. S. (1999). Spectroscopic and clinical aspects of noninvasive glucose measurements. Clinical chemistry, 45(2), 165-177.
Srivastava, A., Chowdhury, M. K., Sharma, S., & Sharma, N. (2013). Blood glucose monitoring using non invasive optical method: Design limitations and challenges. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(1).
Williamson, R. (2009). Causes of diabetes. The Practitioner, 253(1718), 37-38.
Khalil, O. S. (1999). Spectroscopic and clinical aspects of noninvasive glucose measurements. Clinical chemistry, 45(2), 165-177.
Srivastava, A., Chowdhury, M. K., Sharma, S., & Sharma, N. (2013). Blood glucose monitoring using non invasive optical method: Design limitations and challenges. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(1).
Williamson, R. (2009). Causes of diabetes. The Practitioner, 253(1718), 37-38.
Srivastava, A., Chowdhury, M. K., Sharma, S., & Sharma, N. (2013). Blood glucose monitoring using non invasive optical method: Design limitations and challenges. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(1).
Williamson, R. (2009). Causes of diabetes. The Practitioner, 253(1718), 37-38.
Srivastava, A., Chowdhury, M. K., Sharma, S., & Sharma, N. (2013). Blood glucose monitoring using non invasive optical method: Design limitations and challenges. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(1).
Williamson, R. (2009). Causes of diabetes. The Practitioner, 253(1718), 37-38.
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Affiliations
K. F. Tamrin
Universiti Malaysia Sarawak
A. N. Adilah
Universiti Malaysia Sarawak
M.M. Hamdi
Universiti Malaysia Sarawak
R.P. Jong
Universiti Malaysia Sarawak
How to Cite
Smartphone-based laser glucometer for non-invasive measurement of glucose level of diabetic patients
Vol 1 No 1 (2018): September
Submitted: Nov 1, 2018
Published: Nov 1, 2018
Abstract
A glucose meter (or glucometer) is a medical device for determining the approximate concentration of glucose in the blood by pricking a finger to draw blood sample using a sharp needle. However, diabetic patient has quite slow level in wound healing process which causes their fingers constantly in a state of wounded and exposed to bacteria. More importantly, two main factors for the weakness of invasive technique is a painful process and cost often because constant monitoring of glucose level is very expensive. The main objective of this research is to design and develop a non-invasive optical measuring technique to measure body glucose level automatically and painlessly using a laser pointer and a smartphone. Images captured by the smartphone is analysed using a Matlab software to determine the refractive index of the urine sample. Calibration of the system is performed by correlating the results with that of the glucometer. Both results compare well with R-squared value of 92.9%. The system can be potentially used for remote health and patient monitoring.