An Intelligent Non-Invasive Sweat-Based Glucose Monitoring System for Managing Diabetes Mellitus
Keywords:
Continuous Glucose Monitoring System, Non-Invasive method, Blood Glucose, Diabetes, Wireless Sensor Network (WSN)Abstract
In this paper, a non-invasive approach based on Wireless Sensor Networks (WSNs) has been introduced to monitor the glucose level of the patient based on their sweat salt concentration. This developed methodology is painless, economical, and simple for effective management of Diabetics. The responses are examined to monitor the increased sweat salt concentration that causes high glucose levels. Low amounts of glucose are the result of low salt content in perspiration. By using an interpolation equation, it is possible to correlate the salt content of sweat with its related voltage and glucose level. The proposed system is designed and simulated using the proteus software and the hardware implementation is carried out for continuous monitoring of glucose level which involves the collection of anonymous data of 8 different patients belonging to different age groups. For the qualitative analysis, the response from the hardware is verified against the clinical results through Parkes Error Grid Analysis tool.
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