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COMBINED MACHINE LEARNING AND NON-MACHINE LEARNING HEALTH EVENT CLASSIFICATION

Application US20260081039A1 Kind: A1 Mar 19, 2026

Inventors

Jeffrey M. Gillberg, Shantanu Sarkar, Kevin T. Ousdigian, Abhijit Kadrolkar, Sean R. Landman

Abstract

A computing device comprises communication circuitry configured to wirelessly communicate with a sensor device on a patient or implanted within the patient, one or more output devices, and processing circuitry. The processing circuitry is configured to receive episode data for an acute health event detected by the sensor device via the communication circuitry, the episode data transmitted by the sensor device in response to detecting the acute health event. The processing circuitry is configured to classify the acute health 2024/059048 event as one of a plurality of classifications by at least applying one or more machine learning models to each segment of a plurality of segments of the episode data, and applying one or more non-machine learning rules to each segment of the plurality of segments. The processing circuitry is configured to determine whether to control the one or more output devices to output an alarm based on the classification.

CPC Classifications

G16H 70/60

Filing Date

2023-09-12

Application No.

19108375