AGENTIC GPT-BASED INTERACTIVE ELECTROCARDIOGRAPHIC ANALYSIS

Abstract: a system for interactive ecg monitoring is described. the system includes a data repository storing pre-processed ecg data. the pre-processed ecg data is associated with historical data, real-time data, or both derived from a plurality of ecg recorders. the pre-processed ecg data includes ecg measurements extracted or derived from raw ecg signals and annotations of cardiac events. further, the system includes a multi-agent query processor to receive and process an input message related to health of a subject, retrieve relevant data elements from the pre-processed ecg data, raw ecg signals, or both based on the processed input message, compute metrics corresponding to the input message based on the retrieved data elements, and generate a response to the input message using an llm or at least one agent to integrate retrieved data elements and computed metrics. the response is presented on a user interface to a healthcare provider.

Inventor(s): Sreeram Pydah, Sujoya Dey, Nelson Jack Mangione, Ravi Illango, Shashi Ranjan

CPC Classification: A61B5/7282 (DIAGNOSIS; SURGERY; IDENTIFICATION (analysing biological material , e.g. ; obtaining records using waves other than optical waves, in general ))

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