Intellectual Property India Publishes Patent Application for 'Vision Based Spasticity Detection During Passive Movement' Filed by Saveetha Institute Of Medical And Technical Sciences

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641044279 A) filed by Saveetha Institute Of Medical And Technical Sciences, Chennai, Tamil Nadu, on April 7, for 'vision based spasticity detection during passive movement.'

Inventor(s) include S. Joshua Kumaresan; K. Sathya Siva; and Deepak Nallaswamy Veeraiyan.

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 Vision-Based Spasticity Detection system addresses a long-standing challenge in neurology: the subjectivity of manual muscle tone assessment. Traditionally. clinicians rely on the Modified Ashwm1h Scale (MAS). which is limited by inter-rater variability. This invention replaces tactile intuition with a high-fidelity biomechanical analysis pipeline. The core of the system is the identification of the "catch" point, a hallmark of spasticity defined by a velocity-dependent increase in tonic stretch reflexes. Using a high-speed optical sensor (typically 60+ FPS), the system performs markerless skeletal tracking to isolate the moving limb from the clinician's hands. As the clinician performs a passive stretch, the local processor calculates the instantaneous angular velocity (co) and acceleration (a) of the joint. Spasticity is mathematically identified when the system detects a sharp, non-linear deceleration-the "catch"-that occurs despite the continuous force applied by the clinician. By mapping the exact angle at which this resistance occurs relative to the speed of the stretch, the system differentiates between contractures (fixed resistance) and spasticity (velocity-dependent resistance). The result IS a standardized, digital spasticity profile that records the Catch Angle, Maximum Threshold Velocity, and Clonus Frequency. This data is then translated into a quantitative score, allowing for granular tracking of a patient's response to medications, such as Botox injections, or physical therapy interventions over time."

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