MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641003732 A) filed by M. Manoj Prabu, Coimbatore, Tamil Nadu, on Jan. 14, for 'ai based detection of joint issues for elderly people using knee braces.'
Inventor(s) include A. Cathrin Vinslet; S. R. Kirubadharshini; R. Mithuna; and K. Mohana Priya.
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: "This project introduces an intelligent knee brace integrating MEMS sensors to continuously monitor joint movements in elderly individuals. It addresses the limitations of periodic hospital assessments by providing real-time evaluation of knee mobility, flexibility, and stability during daily physical activities. The system utilizes accelerometer and gyroscope data to capture motion patterns, flexion angles, gait irregularities, and rotational deviations. These signals are carefully filtered and processed to extract meaningful biomechanical features that help identify early signs of joint deterioration or mobility imbalance . A machine learning model is trained using the extracted features to classify knee flexibility levels and detect abnormalities. This approach enables highly accurate identification of mild, moderate, or severe joint issues, improving early screening and timely therapeutic intervention. A companion mobile application displays real-time analysis through movement graphs, progress tracking, and severity scores. It further provides personalized recommendations, including stretching routines, strengthening exercises, and advice for seeking clinical consultation based on the detected severity leveL The proposed device is lightweight, cost-effective, ;~nd non-invasive, making it suitable for long-term use by elderly individuals. By enabling continuous monitoring and predictive analytics, the system significantly enhances preventive healthcare and supports better mobility, independence, and overall quality of life. By combining wearable sensing technology with AI-driven analysis, the system creates a proactive healthcare solution that consistently monitors knee function. It supports rehabilitation, helps prevent severe joint deterioration, and enables clinicians to make data-driven decisions for improved patient outcomes and long-term mobility management."
Disclaimer: Curated by HT Syndication.
