MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641004985 A) filed by Mrs. Lekshmi V Nair; Mr. Ashok D; Ms. Jeevitha M; Ms. Sahiba Jahan V; and Ms. Vijayakumar V, Coimbatore, Tamil Nadu, on Jan. 19, for 'multi sensor wound and inflammation monitoring system with infection pattern screening and prp suita.'
Inventor(s) include Mrs. Lekshmi V Nair; Mr. Ashok D; Ms. Jeevitha M; Ms. Sahiba Jahan V; and Ms. Vijayakumar V.
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: "Wound healing and skin inflammation assessment is a critical component of clinical care, as delayed or abnormal healing may lead to infection, chronic wounds, and serious complications. Conventional assessment techniques largely rely on visual inspection and clinical experience, which are subjective and may fail to detect early physiological changes associated with infection or impaired healing. To address these limitations, this work presents a portable, non-invasive multi-sensor wound and inflammation monitoring system designed for objective and point-of-care assessment. The proposed system integrates skin temperature measurement, bio-impedance analysis, and image-based wound evaluation using an embedded microcontroller platform. An infrared temperature sensor captures localized thermal variations, while a skin resistance module evaluates bio-impedance changes related to inflammation and tissue recovery. Additionally, an embedded camera acquires wound images for color and redness analysis. The acquired sensor and image data are pre-processed and relevant features are extracted for intelligent analysis. A lightweight embedded machine learning model classifies inflammation patterns into normal and abnormal categories, enabling early infection screening. The system further supports continuous monitoring by transmitting processed data wirelessly to a real-time visualization interface, allowing tracking of healing trends over time. The proposed solution offers a low-cost, portable, and scalable approach for wound assessment, reducing dependence on expensive hospital-based diagnostic infrastructure. Its non-invasive nature and intelligent analysis make it suitable for remote healthcare, home-based monitoring, and pointof- care applications, thereby improving accessibility to timely wound evaluation and supporting proactive clinical decision-making."
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