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US 2026/0294319 A1Published application
Systems and methods for analyzing risk of cardiac arrest
AssigneeCedars-Sinai Medical Center
InventorsSumeet S. CHUGH, David OUYANG
Life of this patent
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Abstract
A method for analyzing risk of cardiac arrest in a subject includes receiving electrocardiograph (ECG) data of a subject; inputting at least a portion of the ECG data into a trained machine learning model; and receiving from the trained machine learning model an indication of a risk of cardiac arrest in the subject.
Claims21
A method of determining risk of cardiac arrest in a subject, the method comprising:
- receiving electrocardiograph (ECG) data of the subject;
- inputting at least a portion of the ECG data into a trained machine learning model;
- and
- receiving from the trained machine learning model an indication of the risk of cardiac arrest in the subject.
1 more element
A method of training a machine learning model to determine a risk of cardiac arrest in a subject, the method comprising:
- receiving electrocardiograph (ECG) data;
- forming a training dataset from the ECG data, the training dataset including an active portion and a control portion, wherein
- the active portion includes a first plurality of sets of ECG data, each generated from a patient that experienced a subsequent cardiac arrest, and
- the control portion includes a second plurality of sets of ECG data, each generated from a control subject that did not experience a subsequent cardiac arrest;
- and
- training the machine learning model using the training dataset.
3 more elements
21-27. (canceled)
Dependencies are inferred from the claim text.