ARTIFICIAL INTELLIGENCE (AI)-BASED SYSTEM AND METHOD FOR CONTROLLING OPERATIONS OF NEUROMODULATION DEVICES BASED ON PHYSIOLOGICAL PARAMETERS OF USERS

Abstract: an artificial intelligence (ai)-based system and method for controlling operations of neuromodulation devices based on physiological parameters of users is disclosed. the ai-based system comprises one or more physiological parameters sensing endpoint devices and one or more server devices. the one or more physiological parameters sensing endpoint devices are configured to determine the one or more physiological parameters of each user. the one or more server devices comprises a data-obtaining subsystem, a data-processing subsystem, an operational parameter generation subsystem, a data recommendation subsystem, and a plurality of modules. the ai-based system is configured to process the obtained at least one of: the one or more physiological parameters and user-centric data to generate one or more user-centric operational parameters for controlling the operations of the one or more neuromodulation devices. the generation of one or more user-centric operational parameters optimizes neuromodulation therapy based on the user's unique physiologic parameters.

Inventor(s): Krishnan Chakravarthy

CPC Classification: A61N1/36031 ({using physiological parameters for adjustment})

Search for rejections for patent application number 20250205487