MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611065964 A) filed by Dr. Vibha Saran Pt on May 25, 2026, for Ai-Driven Adaptive Multi-Sensory Neuro-Rehabilitation System With Real- Time Motion Deviation Feedback And Neuro-Response Scoring.
Inventors include Dr. Vibha Saran Pt; Shazia Mattu Pt; Harish Sharma Pt; Dr. Satyam Jaiswal Pt; Dr. Akanksha Gupta Pt; and Dr. Abhishek Kumar Arya Pt.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: [072] The present invention relates to an AI-driven adaptive multi-sensory neuro-rehabilitation system configured to provide intelligent therapeutic assistance for individuals affected by neurological disorders, neuro-developmental disabilities, and motor coordination impairments. The system comprises a motion acquisition module, a processing unit, a motion deviation feedback engine (MDFE), a time-synchronized multi-sensory feedback system (TSMSF), a neuro-response scoring system (NRSS), an adaptive learning module, and a rehabilitation data management interface integrated within a closed-loop rehabilitation architecture. The motion acquisition module captures real-time movement and physiological data using wearable or surface-mounted sensors including inertial measurement units, accelerometers, gyroscopic sensors, pressure sensors, and optional vision-based tracking systems. The MDFE compares actual patient movement with predefined therapeutic motion trajectories and computes deviation parameters including angular deviation, positional displacement, temporal delay, and movement inconsistency. Upon detecting deviations exceeding predefined thresholds, the TSMSF generates synchronized visual, auditory, and tactile corrective feedback within a predefined latency window ranging between approximately 50 milliseconds and 100 milliseconds. The NRSS quantitatively evaluates rehabilitation performance based on movement accuracy, response latency, correction efficiency, and consistency to generate objective therapeutic scores and rehabilitation analytics. The adaptive learning module dynamically modifies exercise complexity, feedback intensity, movement speed, and therapy duration according to real-time patient performance metrics. The invention further includes a rehabilitation data storage and visualization interface configured for progress monitoring, clinical reporting, and remote rehabilitation management. The disclosed invention thereby enables objective rehabilitation assessment, adaptive therapy personalization, synchronized multi-sensory correction, enhanced neuroplasticity stimulation, reduced therapist dependency, and improved rehabilitation outcomes across clinical and home-care therapeutic environments. Accompanied Drawing [FIGS. 1-2]
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