Intellectual Property India Publishes Patent Application for 'A System And A Method For Smart Physiological Signal Acquisition And Intelligent Processing Using Adaptive Multi-Modal Biosignal Analytics' Filed by Dr Darshana B. Likhada; Dr. Rahulsinh B. Chauhan; Dr. Ravindra B. Gadhiya; Dr. Rakshitkumar S. Upadhyay; Chaudhari Manisha Maheshchandra; Gauravkumar P Rathod; and Dehlvi Mohammadnaved J

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202621028738 A) filed by Dr Darshana B. Likhada; Dr. Rahulsinh B. Chauhan; Dr. Ravindra B. Gadhiya; Dr. Rakshitkumar S. Upadhyay; Chaudhari Manisha Maheshchandra; Gauravkumar P Rathod; and Dehlvi Mohammadnaved J, Gandhinagar, Gujarat, on March 11, for 'a system and a method for smart physiological signal acquisition and intelligent processing using adaptive multi-modal biosignal analytics.'

Inventor(s) include Dr Darshana B. Likhada; Dr. Rahulsinh B. Chauhan; Dr. Ravindra B. Gadhiya; Dr. Rakshitkumar S. Upadhyay; Chaudhari Manisha Maheshchandra; Gauravkumar P Rathod; and Dehlvi Mohammadnaved J.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "A System and a Method for Smart Physiological Signal Acquisition and Intelligent Processing Using Adaptive Multi-Modal Biosignal Analytics The present disclosure relates to a system and method for the acquisition, processing, and analysis of physiological signals for intelligent health monitoring and predictive evaluation. The system has a multi-modal physiological sensing module that can pick up biosignals like cardiac, neural, muscular, and respiratory signals. It also has a signal acquisition and conditioning module that can amplify, filter, and digitize the signals it picks up. Finally, it has an adaptive signal processing engine that can get rid of noise and motion artifacts. A processor runs AI algorithms to look at physiological patterns and find problems in real time. The system also has a neuromorphic signal interpretation engine that can find complicated physiological events more quickly and a predictive analytics module that can guess possible health risks based on past and present physiological data. The system also has context-aware signal correlation, secure data management, and wireless communication features that let it send physiological data to remote healthcare platforms for continuous monitoring and clinical decision support."

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