MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641043634 A) filed by Manojprabhu M, Coimbatore, Tamil Nadu, on April 6, for 'telemedicine based neuro-rehabilitation system with ai assisted remote monitoring and theray support.'
Inventor(s) include Abuhasan A; Arunkumar S; Dhinesh G; and Praveen A.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The Neuro- rehabilitation requires wntinuous monitoring and timely therapeutic feedback to improve patient recovery, which is often limited by geographical barriers and lack of frequent clinical supervision. To address this challenge, this work proposes a Telemedicine-based neuron-rehabilitation system for remote monitoring and therapy assistance integrated with an artificial intelligence-driven decision-making model. The system employs a piezoelectric sensor to capture muscle movement and rehabilitation activity signals from patients performing therapy exercises at home. These analog signals are digitized using an ADC and processed by a NodeMCU ESP8266 controller, which transmits the data securely to a cloud server through an JoT framework. A web-based Telemedicine platform enables real-time visualization of patient data for both patients and healthcare professionals. To enhance clinical decision support, a K-Nearest Neighbors (KNN) machine learning algorithm is implemented on the cloud to analyze extracted features and predict the patient's rehabilitation status, categorized as normal, improving, or critical. Based on the predicted condition, the system provides local feedback through an LCD and vibration motor, assisting guided therapy. Remote doctors can monitor progress, assess recovery trends, and recommend therapy adjustments without physical presence. The proposed system improves accessibility, reduces hospital visits, and supports data-driven personalized neuro-rehabilitation, making it suitable for cost-effective and scalable remote healthcare applications."
Disclaimer: Curated by HT Syndication.
