MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061189 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Ai Based Early Detection System For Parkinson'S Disease Using Motion Analysis.
Inventors include Prabha M; Rameshkannan R; Ramya M; Ranjithkumar A; Ravindranath G; Rithika T; Sachin B; and Sanjay P.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An AI-based early detection system for Parkinson's disease uses motion analysis to identify early symptoms. The system collects patient movement data through wearable sensors and accelerometers. Captured signals are processed by a microcontroller for real- time evaluation. Artificial intelligence algorithms analyze gait, tremors, and motor coordination patterns. Deviations from normal movement are detected to identify potential Parkinson's indicators. Early warning alerts are generated for medical consultation. Data is transmitted to healthcare providers via loT or cloud platforms. Continuous monitoring enables tracking of symptom . progression over time. Secure storage maintains patient privacy and health records. Real-time feedback assists clinicians in timely intervention. The system supports non-invasive and convenient assessment. Low power operation ensures long-term wearable usage. Data visualization provides clear insights into motor performance trends. The solution aids early diagnosis and improves disease management. This intelligent system enhances preventive healthcare for Parkinson's disease
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