Electrocardiogram wave segmentation using machine learning
AssigneeBoston Scientific Cardiac Diagnostics, Inc.
InventorBenjamin A. Teplitzky
Life of this patent
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Abstract
A method includes analyzing a first segment of electrocardiogram measurements corresponding to a first heartbeat and a second heartbeat of a patient to identify a set of features of the first segment of electrocardiogram measurements. The method further includes adjusting the set of features based at least on the first segment and a second segment of electrocardiogram measurements corresponding to the first heartbeat. The method further includes predicting, based on the adjusted set of features, a region in the second segment of electrocardiogram measurements comprising a p-wave generated by the second heartbeat.
Claims20
A method comprising:
- dividing electrocardiogram (ECG) measurements of a patient into a plurality of segments comprising a first segment of the ECG measurements corresponding to a first heartbeat of the patient and a second segment of the ECG measurements corresponding to the first heartbeat and a second heartbeat of the patient;
- analyzing the second segment of the ECG measurements to identify a set of features of the second segment of the ECG measurements, wherein the set of features comprise of portions of heartbeats;
- adjusting a duration of at least one feature of the set of features based at least on the first segment of the ECG measurements and the second segment of the ECG measurements;
- determining, based on the adjusted duration of the at least one feature of the set of features, a region in the second segment of the ECG measurements comprising a p-wave generated by the second heartbeat;
- and
- determining, based on the determined region in the second segment, whether a cardiac abnormality is occurring in a patient.
An apparatus comprising:
- a memory;
- and
- a hardware processor communicatively coupled to the memory and configured to:
- divide electrocardiogram (ECG) measurements of a patient into a plurality of segments comprising a first segment of the ECG measurements corresponding to a first heartbeat of the patient and a second segment of the ECG measurements corresponding to the first heartbeat and a second heartbeat of the patient,
- analyze the second segment of the ECG measurements to identify a set of features of the second segment of the ECG measurements, wherein the set of features comprise of portions of heartbeats,
- adjust a duration of at least one feature of the set of features based at least on the first segment of the ECG measurements and the second segment of the ECG measurements,
- determine, based on the adjusted duration of the at least one feature of the set of features, a region in the second segment of the ECG measurements comprising a p-wave generated by the second heartbeat;
- and
- determine, based on the determined region in the second segment, whether a cardiac abnormality is occurring in a patient.
A method comprising:
- analyzing a first segment of electrocardiogram (ECG) measurements corresponding to a first heartbeat and a second heartbeat of a patient to identify a set of features of the first segment of ECG measurements, wherein the set of features comprise of portions of heartbeats;
- adjusting a duration of at least one feature of the set of features based at least on the first segment and a second segment of ECG measurements corresponding to the first heartbeat;
- determining, based on the adjusted duration of the at least one feature of the set of features, a region in the second segment of ECG measurements comprising a p-wave generated by the second heartbeat;
- and
- determining, based on the determined region in the second segment, whether a cardiac abnormality is occurring in a patient.
Dependencies are inferred from the claim text.