Apparatus and method for identifying myocardial ischemia using analysis of high frequency QRS potentials
Inventors
Toledo, Eran • Beker, Amir • Bregman-Amitai, Orna
Assignees
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Publication Number
US-8862211-B2
Publication Date
2014-10-14
Expiration Date
Abstract
Detecting cardiac ischemia by detecting local changes in high frequency ECG parameters. Local changes may be, for example, local reduction in RMS of high frequency components, for example, during a stress test.
Core Innovation
The invention analyzes ECG signals by providing at least one ECG signal recorded from a body and determining the value of at least one time-varying parameter of a high frequency band of the ECG signal. The parameter value is treated as time-varying during a test so that an instant variation is evaluated by comparing the parameter value to a parameter value at a short time before, and an alert is generated responsive to a decision algorithm that uses this instant variation.
The decision algorithm further includes analysis of a T-wave abnormality in at least one QRS complex in a low-frequency component of the ECG signal. This low-frequency analysis is performed in addition to any alignment of high frequency signals from the high frequency band, and the T-wave abnormality is used to support generating an alert that indicates ischemia.
In the described system, high frequency ECG analysis determines time-varying HF parameters and forms HF index vectors based on local intensity reduction in the high frequency QRS potentials and associated statistical or morphological features, and low frequency ECG analysis forms ECG index vectors based on QRS, ST segment, QT interval/QTc interval/PR interval, and T-wave features. A decision algorithm combining these inputs issues an ischemia alarm responsive to the combined rule-based or machine-learning classification logic described.
Claims Coverage
The provided independent claim covers three core inventive features.
High-frequency time-varying parameter determination for ECG signals
A computer determines the value of at least one time-varying parameter of a high frequency band of an ECG signal recorded from a body.
Instant variation of the high-frequency parameter during a test
The decision algorithm uses an instant variation of the time-varying parameter value during a test, where the instant variation is a change in the parameter value compared to the parameter value at a short time before.
T-wave abnormality analysis in a low-frequency component combined with high-frequency alignment
The decision algorithm includes analysis of a T-wave abnormality in at least one QRS complex in a low-frequency component of the ECG, performed in addition to any alignment of high frequency signals from the high frequency band, and the alert indicates ischemia.
The claim combines high-frequency time-varying parameter determination, instant variation relative to a short time before, and low-frequency T-wave abnormality analysis to produce an alert indicating ischemia.
Stated Advantages
Improved ischemia detection performance compared with conventional ST-T analysis and gold standards.
Documented Applications
Diagnosing myocardial ischemia during a stress test (exercise or pharmaceutical) by comparing test values to a rest baseline and generating an ischemia alarm.
Monitoring using ECG recordings such as Holter monitoring to generate ischemia alarms.
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