SYSTEM FOR NON-INVASIVE BLOOD GLUCOSE MONITORING

Abstract

ABSTRACT SYSTEM FOR NON-INVASIVE BLOOD GLUCOSE MONITORING The present invention provides a system for non-invasive blood glucose monitoring that includes a wearable device and a mobile application. The wearable device uses optical sensors and machine learning algorithms to measure blood glucose levels, and the mobile application displays the readings and provides alerts for abnormal readings. The system is non-invasive, painless, and easy to use, and it provides real-time monitoring of blood glucose levels. The system can be worn continuously and is powered by a rechargeable battery.

Specification

Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
Complete Specification
(See section 10 and rule 13)



1.Title of the Invention : SYSTEM FOR NON-INVASIVE BLOOD GLUCOSE MONITORING


2. Applicant Name : Dr.M.G.R Educational and Research
Institute

Nationality : Indian

Address : Periyar E.V.R High Road, Maduravoyal, Chennai 600095, Tamil Nadu


3. Preamble to the Description :

The following specification particularly describes the invention and the manner in which it is to be performed.


4. DESCRIPTION
FIELD OF THE INVENTION
The present invention relates to the field of medical devices, particularly to a system for non-invasive blood glucose monitoring.
BACKGROUND OF THE INVENTION
Blood glucose monitoring is an essential part of diabetes management. Conventional methods for monitoring blood glucose levels require the use of needles, which can be painful and inconvenient for patients. As a result, non-invasive methods for blood glucose monitoring have been explored. Various non-invasive methods, such as infrared spectroscopy, Raman spectroscopy, and optical coherence tomography, have been used to measure blood glucose levels. However, these methods have certain limitations, such as high cost, low accuracy, and complexity of use.
SUMMARY OF THE INVENTION
The present invention provides a system for non-invasive blood glucose monitoring that overcomes the limitations of conventional methods. The system comprises a wearable device that uses a combination of optical sensors and machine learning algorithms to measure blood glucose levels. The device is non-invasive, painless, and easy to use. The device can be worn continuously, and it provides real-time monitoring of blood glucose levels. The system also includes a mobile application that displays blood glucose readings and provides alerts for abnormal readings.



DETAILED DESCRIPTION OF THE INVENTION
The wearable device in the system comprises one or more optical sensors that are designed to measure blood glucose levels through the skin. These sensors work by shining light through the skin and detecting changes in the light transmission caused by the presence of glucose in the bloodstream. The device may also include a temperature sensor to account for changes in skin temperature that could affect the readings.

The device also includes a microprocessor that uses machine learning algorithms to analyze the data from the optical sensors and generate accurate blood glucose readings. The machine learning algorithms may be trained using a large dataset of blood glucose measurements obtained from conventional methods, such as finger-stick tests or continuous glucose monitors. The algorithms may also take into account other factors that could affect blood glucose levels, such as physical activity, stress, or diet.

The wearable device is designed to be worn on the wrist or the arm, similar to a smartwatch or a fitness tracker. The device is compact, lightweight, and comfortable to wear, and it can be worn continuously throughout the day and night. The device is also powered by a rechargeable battery, which can last for several days before needing to be recharged.

The mobile application in the system provides a user-friendly interface for displaying blood glucose readings. The application may include a dashboard that shows the current blood glucose level, as well as trends and patterns over time. The application may also provide alerts for abnormal readings, such as hypoglycemia or hyperglycemia, and suggest actions that the user can take to correct the situation, such as consuming glucose tablets or insulin.

The mobile application may also include a database for storing the blood glucose readings and generating reports. The reports may show the user's blood glucose levels over time, as well as the impact of various factors, such as exercise, on blood glucose levels. The reports may also be shared with healthcare professionals, such as doctors or diabetes educators, to help them make informed decisions about the user's diabetes management.

Overall, the system for non-invasive blood glucose monitoring provides a convenient, painless, and accurate way for people with diabetes to monitor their blood glucose levels. The system can help people with diabetes to manage their condition more effectively, reduce the risk of complications, and improve their quality of life.


 












, Claims:CLAIMS
We Claim:
1. A system for non-invasive blood glucose monitoring comprising a wearable device that uses optical sensors to measure blood glucose levels and a mobile application for displaying the readings.
2. The system of claim 1, wherein the wearable device is worn on the wrist or the arm.
3. The system of claim 1, wherein the wearable device comprises a microprocessor that uses machine learning algorithms to generate accurate blood glucose readings.
4. The system of claim 1, wherein the mobile application provides alerts for abnormal readings.
5. The system of claim 1, wherein the mobile application includes a database for storing the readings and generating reports.
6. The system of claim 1, wherein the wearable device is connected to the mobile application through Bluetooth or Wi-Fi.
7. The system of claim 1, wherein the wearable device is powered by a rechargeable battery.
Dated this the 13th November 2024

Digitally signed
Senthil Kumar B
Agent for the applicant
IN/PA-1549

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