Levenberg–Marquardt-Based Non-Invasive Blood Glucose Measurement System

ABSTRACT

The present work focuses on the development of non-invasive blood glucose measurement device to revolutionize diabetes management and reduce severe complications associated with it. A low cost, painless and non-invasive blood glucose measurement system is designed using near-infrared (NIR) LED and four photodiodes for the purpose. NIR light emitted by LED passes through the skin and is detected by photodiodes after attenuation. The detector converts the attenuated light into a voltage signal. The interference due to background noise generated by human skin is removed by taking floating or internal reference. The voltage signal obtained from the photodiodes is calibrated using Levenberg–Marquardt-based Artificial Neural Network to obtain the glucose concentration. The accuracy of proposed prototype was examined by comparing non-invasively predicted data with invasively measured reference data. It is observed that all measurements lie in A and B zones of Clarke error grid and thus clinically accurate.

KEYWORDS:

• Blood glucose measurement
• Non-invasive glucose measurement
• Near-infrared spectroscopy
• Levenberg–Marquardt-based Artificial Neural Network (LMANN)

Additional information

Notes on contributors

Jyoti Yadav

Jyoti Yadav received her BTech degree in Biomedical Engineering from Guru Jambeshwer University, Hissar, Haryana, in 2007, and MTech degree in Process Control from Netaji Subhas Institute of Technology, University of Delhi in 2011. She is pursuing her PhD degree from Netaji Subhas Institute of Technology, New Delhi, University of Delhi, Delhi. Currently, she is working as an assistant professor in Division of Instrumentation and Control Engineering Division at Netaji Subhas Institute of Technology, Dwarka, New Delhi. Her research interests include spectroscopy, non-invasive glucose monitoring and control, and blood glucose control.

E-mail: [email protected]

Asha Rani

Asha Rani received her BTech degree in Electrical Engineering from National Institute of Technology Hamirpur, Himachal Pradesh in 1998, and MTech (Electrical Engineering) degree from Indian Institute of Technology Roorkee, Uttarakhand, in 2000. She did her PhD degree from Netaji Subhas Institute of Technology, University of Delhi in 2013. Currently, she is working as an associate professor in Division of Instrumentation and Control Engineering at Netaji Subhas Institute of Technology, Dwarka, New Delhi. Her interests include process control using intelligent control techniques, and biomedical Instrumentation.

E-mail: [email protected]

Vijander Singh

Vijander Singh received the BTech degree in Electrical Engineering from G. B Pant University of Agriculture & Technology, Pantnagar, Uttaranchal, in 1995. He received his MTech and PhD degrees from Indian Institute of Technology Roorkee, Uttarakhand, in 2000 and 2007, respectively. Currently, he is working as an associate professor of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, Dwarka, New Delhi. His research interests include biomedical signal processing, image processing, process control, and artificial intelligent control.

E-mail: [email protected]

Bhaskar Mohan Murari

Bhaskar Mohan Murari received his MS (Biomedical Instrumentation) degree from Birla Institute of Technology, Mesra, India, in 1995. He has received the PhD (Biomedical Engineering) degree from Indian Institute of Technology, Delhi, India, in 2008. Currently, he is an associate professor in Division of Biomedical Engineering at Vellore Institute of Technology University, Vellore, Tamil Nadu. His research interests include development of biosensors for medical diagnostics and sol-gel-based novel biomaterials for biomedical applications

E-mail: [email protected]