MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025400 A) filed by Dr. Nimmala Harathi; and Dr. P. Ratna Kamala, Puttur, Andhra Pradesh, on March 3, for 'wearable non-invasive continuous glucose monitoring device using nir spectroscopy and machine learning calibration.'
Inventor(s) include Ms. D. R. Lakshmi; Ms. T. Haritha Sree; Ms. Puthalapattu Chandanakala; Ms. Chenchanaboina Guruniharika; Ms. Jammana Mahitha; Ms. Nettikanti Himasree; Mr. N. Guru Kumar; and Mr. Thumma Harshavardhan.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a wearable, non-invasive continuous glucose monitoring (CGM) device that utilizes near-infrared (NIR) spectroscopy combined with machine learning-based calibration for real-time glucose estimation. The device is designed to eliminate the need for invasive finger-prick testing and subcutaneous sensor insertion, thereby enhancing patient comfort and long-term compliance in diabetes management. The system comprises NIR light emitters configured to operate within selected wavelength ranges, photodetectors for capturing reflected or transmitted optical signals from biological tissue, and an analog front-end circuit for signal conditioning and digitization. Processed spectral features are analysed using an embedded machine learning engine capable of modeling nonlinear relationships between optical signals and glucose concentration. The invention incorporates adaptive and personalized calibration techniques to account for physiological variability among users, improving accuracy and reliability over time. Auxiliary sensors such as temperature and motion sensors are integrated to compensate for environmental and physiological disturbances. The device further includes wireless communication capabilities for real-time data transmission to a mobile application or cloud platform, enabling continuous monitoring, trend analysis, and alert generation. The invention provides a compact, energy-efficient, and clinically viable non-invasive glucose monitoring solution suitable for daily wearable use."
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