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Non Invasive Diabetes Detection Using Ir Sensor

Abstract: Blood Glucose Detection -Based Glucose Level Measurement involves the use of Blood Glucose Detection Sensor (IR) light and a Blood Glucose Detection sensor to determine the glucose level in a glucose solution. This is achieved by analysing the variations in the output voltage generated by an IR sensor circuit when exposed to different glucose concentration solutions. This method serves as an initial step towards developing a non-invasive blood glucose monitoring device for individuals with diabetes. The system utilizes a Light Emitting Diode (LED) emitting light at a wavelength of 1450 nm as the light source, and a photodiode sensitive to this specific wavelength as the sensor. In order to determine the output voltages, the infrared light flowing through the glucose solution is transformed into an electrical signal and then quantified. The outcomes of these tests show how well the IR sensor can differentiate between different concentrations of glucose in the mixture. For example, the voltage difference between water and a 0.05% glucose solution (50 mg/dL) is 25 mV; the voltage difference between 0.05% and 0.1% glucose solutions (100 mg/dL) is 81 mV; the voltage difference between 0.1% and 0.2% glucose solutions (200 mg/dL) is 69 mV; and the voltage difference between 0.2% and 1% glucose solutions (1000 mg/dL) is 91 mV.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
24 October 2023
Publication Number
47/2023
Publication Type
INA
Invention Field
PHYSICS
Status
Email
Parent Application

Applicants

Ajay Sharma
6 Ratnagiri Raisen Road Bhopal

Inventors

1. Ajay Sharma
VIT BhopalUniversity,KotriKalan, Ashta,Near, Indore Road,Bhopal, MadhyaPradesh 466114
2. Bhavana P Shrivastava
Maulana Azad National Institute of Technology (MANIT), Bhopal, M.P. India ; Pin. 462003
3. Praveen Tyagi
Maulana Azad National Institute of Technology (MANIT), Bhopal, M.P. India ; Pin. 462003
4. Alpana Pandey
Maulana Azad National Institute of Technology (MANIT), Bhopal, M.P. India ; Pin. 462003
5. Rajneesh Kumar Patel
VIT BhopalUniversity,KotriKalan, Ashta,Near, Indore Road,Bhopal, MadhyaPradesh 466114
6. Pranshu Pranjal
VIT BhopalUniversity,KotriKalan, Ashta,Near, Indore Road,Bhopal, MadhyaPradesh 466114
7. Bhupendra Panchal
VIT BhopalUniversity,KotriKalan, Ashta,Near, Indore Road,Bhopal, MadhyaPradesh 466114

Specification

Description:The glucometer's block diagram, which is divided into three sections—input, processing, and output—is shown in Image 1. Thor Laboratories' Blood Glucose Detection sensor, a light-emitting diode (LED) with a wavelength of 1450 nm, is the light source used. The detector is a Blood Glucose Detection sensor (also made by the same company), which can detect light wavelengths between 800 and 1700 nm. Because it transforms infrared light into an electric current, the photodiode is an essential part of the infrared sensor circuit. This experiment begins with setting up a Blood Glucose Detection sensor circuit on a breadboard. This circuit consists of an LED, an IR sensor, resistors, and capacitors. A Metrix digital voltmeter is employed to measure the output voltages (Vout) from the sensor circuit in Image 2, which shows the circuit utilized in the experiment. A 1% glucose solution (or 1000 mg/dL) was diluted with mineral water to form a combination that included 0.2% (200 mg/dL), 0.1% (100 mg/dL), and 0.05% (50 mg/dL) of glucose. This allowed for the creation of the glucose solutions. After that, these glucose solutions were added to an infusion tube with a diameter of 2 mm. It's crucial to remember that this experiment did not measure the body's glucose levels, which made it possible to isolate environmental elements including skin color, body site thickness, the makeup of the tissue beneath the skin, and other variables. The procedure of isolation helped to improve measurement accuracy. A view of the experimental setup is provided in Image 3, where the IR
sensor is oriented 180° in opposition to the light source in order to increase the incident light intensity. There was a 4 mm gap between the light source and the IR sensor, and the whole measuring process happened in a lab setting under strict control. , Claims:1. An intelligent system designed for the non-invasive prediction of blood glucose levels, which includes:
a) Create a robust IR sensor circuit using a 1450 nm wavelength Blood Glucose Detection LED and sensor to accurately detect and quantify glucose levels.
b) Conduct experiments to validate the system's capability to distinguish and measure glucose concentrations in solutions, ranging from 50 mg/dL to 1000 mg/dL, with a focus on accuracy and reliability.
c) Establish a controlled laboratory environment for experimentation, eliminating interference from external factors and human variables to ensure the accuracy of measurements.
d) Offer a promising foundation for the development of non-invasive blood glucose monitoring devices, with potential applications in diabetes management and healthcare technology.
These revised objectives emphasize the innovation and precision of our work in non-invasive blood glucose measurement and highlight the practical implications of our research in healthcare and medical technology.
2. Enhanced Precision and Non-Invasiveness: While others researcher work focuses on predicting blood glucose levels using IR sensors, our work takes this a step further. Our methodology showcases an IR sensor circuit that not only improves accuracy but also provides a non-invasive approach. By avoiding the need for skin pricking, our system significantly enhances patient comfort, setting it apart from the invasive methods traditionally used in glucose monitoring.
3. Higher Precision: presented research demonstrates a higher level of precision in glucose level predictions. By employing a well-calibrated IR sensor circuit, our system can distinguish even subtle variations in glucose concentration, surpassing others technology in terms of accuracy.
4. Extensive Glucose Level Range: Proposed study demonstrates the system's capability to accurately measure a wide range of glucose concentrations, from 50 mg/dL to 1000 mg/dL. This versatility exceeds the scope of previous work, offering a more comprehensive solution for monitoring glucose levels in various clinical scenarios.
5. Advanced Sensing Components: Previous devices utilizes components from a single manufacturer for their setup. In contrast, our work showcases the use of a specifically chosen 1450 nm wavelength LED and a compatible photodiode. This careful selection of components optimizes the system's performance and distinguishes it in terms of precision and sensitivity.
6. Cost-Effectiveness: Presented research aims to develop a cost-effective solution. This cost-efficiency is a notable improvement, making the technology more accessible to a wider range of users, particularly individuals with diabetes who require continuous glucose monitoring.
7. Patient Comfort: our work places a strong emphasis on improving patient comfort. By eliminating the need for skin pricking, our non-invasive approach promises a more comfortable experience for individuals managing diabetes compared to previous method.
8. Controlled Environmental Isolation: Presented research intentionally excludes variables related to the human body, ensuring a controlled laboratory environment. This meticulous approach results in more accurate measurements by isolating factors like skin color, tissue composition, and body site thickness that can introduce variability in glucose monitoring
9. Optimized Experimental Setup: Proposed work meticulously establishes an optimized experimental setup, ensuring that incident light intensity is maximized. This attention to detail enhances the reliability and precision of glucose level predictions, surpassing previous devices experimental setup.
10. Maximized Incident Light Intensity: Presented experimental setup, as illustrated in Image 3, positions the IR sensor for optimal incident light intensity. This strategic arrangement enhances the precision of glucose level measurements, ensuring consistent and reliable results.

Documents

Application Documents

# Name Date
1 202321072448-REQUEST FOR EXAMINATION (FORM-18) [24-10-2023(online)].pdf 2023-10-24
2 202321072448-REQUEST FOR EARLY PUBLICATION(FORM-9) [24-10-2023(online)].pdf 2023-10-24
3 202321072448-FORM 1 [24-10-2023(online)].pdf 2023-10-24
4 202321072448-DRAWINGS [24-10-2023(online)].pdf 2023-10-24
5 202321072448-COMPLETE SPECIFICATION [24-10-2023(online)].pdf 2023-10-24
6 Abstact.jpg 2023-11-15
7 202321072448-FER.pdf 2025-06-30

Search Strategy

1 202321072448_SearchStrategyNew_E_Search_startegy_report(Blood_glucose)E_26-06-2025.pdf