US 2026/0248477 A1 · INTERACTIVE INTERFACE TOOL FOR WAVEFORM VISUALIZATION AND ANNOTATION

Abstract

Systems and methods for an interactive interface tool for waveform visualization and annotation are herein provided. In one example, a system is configured to receive manual annotations to a plurality of cardiotocograph datasets via an interactive interface tool; generate, based on the manual annotations to the plurality of cardiotocograph datasets, training data; train a cardiotocograph pattern identification model, using the training data, to identify patterns in cardiotocograph tracings corresponding to defined physiological events associated with hearts of fetuses and uteruses of mothers who correspond to the cardiotocograph tracings during labor; deploy the trained cardiotocograph pattern identification model to identify abnormal patterns in a cardiotocograph waveform sample and generate one or more AI-based annotations for the identified abnormal patterns; and display the one or more AI-based annotations as overlays on the cardiotocograph waveform sample within the interactive interface tool.

Claims20

Dependent claims

A system, comprising:

a memory that stores computer executable components;
and
a processor that executes the computer executable components stored in the memory to:
receive manual annotations to a plurality of cardiotocograph datasets via an interactive interface tool;
generate, based on the manual annotations to the plurality of cardiotocograph datasets, training data;
train a cardiotocograph pattern identification model, using the training data, to identify patterns in cardiotocograph tracings corresponding to defined physiological events associated with hearts of fetuses and uteruses of mothers who correspond to the cardiotocograph tracings during labor;
deploy the trained cardiotocograph pattern identification model to identify one or more abnormal patterns in a cardiotocograph waveform sample and generate one or more artificial intelligence (AI)-based annotations for the identified abnormal patterns;
and
display the one or more AI-based annotations as overlays on the cardiotocograph waveform sample within the interactive interface tool.

6 more elements

A method, comprising:

obtaining a plurality of cardiotocograph datasets;
receiving user-inputted annotations to the plurality of cardiotocograph datasets via an interactive interface tool, wherein the interactive interface tool is configured to display a fetal heart rate (FHR) tracing and a uterine activity (UA) tracing of a currently displayed waveform sample of the plurality of cardiotocograph datasets in a time-aligned manner;
training a cardiotocograph pattern identification model based on the user-inputted annotations;
obtaining a first cardiotocograph waveform sample;
deploying the trained cardiotocograph pattern identification model to generate one or more model outputs based on the first cardiotocograph waveform sample, wherein the one or more model outputs comprise one or more AI-generated annotations corresponding to sections of the first cardiotocograph waveform sample that correspond to defined waveform patterns;
and
displaying the first cardiotocograph waveform sample and the corresponding one or more AI-generated annotations within the interactive interface tool.

4 more elements

A system, comprising:

a processing unit;
memory storing instructions executable by the processing unit;
an interactive interface tool;
and
a cardiotocograph pattern identification model, wherein the processing unit is configured to:
generate training data based on manual annotations to cardiotocograph data displayed within the interactive interface tool when the interactive interface tool is in manual annotation mode;
train the cardiotocograph pattern identification model based on the training data to identify one or more waveform patterns corresponding to defined physiological events;
analyze a cardiotocograph waveform sample comprising FHR-UA tracing data tracked for a defined window of time with the cardiotocograph pattern identification model to identify waveform patterns within the cardiotocograph waveform sample;
display the cardiotocograph waveform sample within the interactive interface tool;
display the identified waveform patterns as AI-generated annotations overlaid on the displayed cardiotocograph waveform sample within the interactive interface tool;
receive user-inputted edits to the AI-generated annotations via the interactive interface tool;
and
update the cardiotocograph pattern identification model based on the user-inputted edits, wherein the interactive interface tool comprises:
an FHR tracing comprising a plot of a corresponding cardiotocograph FHR waveform;
a UA tracing comprising a plot of a corresponding cardiotocograph UA waveform;
a baseline FHR marker element;
and
a baseline uterine tone marker element.

15 more elements

Dependencies are inferred from the claim text.

Interactive interface tool for waveform visualization and annotation

Life of this patent

Interactive interface tool for waveform visualization and annotation

Life of this patent

Abstract

Claims20