Systems and methods for assessing electrocardiogram reliability
The present technology is an automated method for determining whether a patient-specific electrocardiogram (ECG) is either (a) Normal and can be excluded from manual review or (b) Abnormal and included for manual review. In one embodiment, the method comprises comparing a plurality of characteristics of the ECG with predetermined subthreshold levels that are set less than clinically significant levels of abnormality of the characteristics, wherein the characteristics of the ECG are selected from the group including T-Wave inversion, ST-Depression, QT segment duration, delta wave character, anterior S-wave character and ectopic or pre-mature beats. The method continues by selecting the ECG for manual review if the plurality of selected characteristics exceed the predetermined subthreshold levels yet are below the corresponding clinically significant threshold levels of abnormality of the characteristics.
1. An automated method for determining whether a patient-specific electrocardiogram (ECG) is either (a) Normal and can be excluded from manual review or (b) Abnormal and included for manual review, comprising:
comparing a plurality of characteristics of the ECG with predetermined subthreshold levels that are set at less than clinically significant levels of abnormality for the characteristics, wherein the characteristics of the ECG are a T-Wave and an ST-Depression, and optionally include one or more ECG characteristics selected from the group consisting of QT segment duration, delta wave character, anterior S-wave character and ectopic or pre-mature beats; and
selecting the ECG for manual review if the plurality of selected characteristics exceed the predetermined subthreshold levels are below the corresponding clinically significant threshold levels of abnormality of the characteristics.
2. The method of claim 1 , wherein the subthreshold levels are −70 μVolt T-Wave amplitude, −30 μVolt ST segment depression value, 460 msec duration of QT or QTc segment or QT correction greater than 25 msec, a 20 percent reduced delta wave change in slope, 55 msec or larger delay of anterior S-wave upstroke, or occurrence of a single ectopic or pre-mature beat within a 10 second window.
3. The method of claim 2 , wherein the clinically significant threshold levels of abnormality are −70 μVolts for T-Wave inversion and −30 μVolts for ST-Depression.
4. The method of claim 2 wherein the ECG is selected for manual review when T-Wave inversion value exceeds −70 μVolts and is less than −100 μVolts at least once, and ST-Depression exceeds −30 μVolts and is less than −50 μVolts at least once.
5. The method of claim 1 wherein, further comprising determining whether noise in the ECG is below a predetermined noise limit and either (i) excluding the ECG from further review if the noise is below the noise limit or (ii) accepting the ECG for further review if the noise is above the noise limit.
6. A system for automatically determining whether a patient-specific electrocardiogram (ECG) can be excluded from manual review or included for manual review, comprising:
a computer readable medium containing instructions the perform the following in a computer:
comparing a plurality of characteristics of the ECG with predetermined subthreshold levels that are set at less than clinically significant levels of abnormality for the characteristics, wherein the characteristics of the ECG are a T-Wave inversion and an ST-Depression, and optionally include one or more ECG characteristics selected from the group consisting of QT segment duration, delta wave character, anterior S-wave character and ectopic or pre-mature beats; and
selecting the ECG for manual review if the plurality of selected characteristics exceed the predetermined subthreshold levels are below the corresponding clinically significant threshold levels of abnormality of the characteristics.
7. An automated method for determining whether a patient-specific electrocardiogram (ECG) is either (a) Normal and can be excluded from manual review or (b) Abnormal and included for manual review, comprising:
comparing at least two characteristics of the ECG with predetermined subthreshold levels that are set less than clinically significant levels of abnormality of the characteristics, wherein the characteristics of the ECG include a T-Wave inversion of −70 μVolts or an ST-Depression of −30 μVolts; and
selecting the ECG for manual review if the selected characteristics exceed the predetermined subthreshold levels are below the corresponding clinically significant threshold levels of abnormality of the characteristics.
8. The method of claim 7 wherein the ECG characteristics further include one or more characteristics selected from the group including QT segment duration, delta wave character, anterior S-wave character and ectopic or pre-mature beats.
9. A system for automatically determining whether a patient-specific electrocardiogram (ECG) can be excluded from manual review or included for manual review, comprising:
a computer readable medium containing instructions the perform the following in a computer:
comparing at least two characteristics of the ECG with predetermined subthreshold levels that are set less than clinically significant levels of abnormality of the characteristics, wherein the characteristics of the ECG include a T-Wave inversion of −70 μVolts or an ST-Depression of −30 μVolts; and
selecting the ECG for manual review if the selected characteristics exceed the predetermined subthreshold levels are below the corresponding clinically significant threshold levels of abnormality of the characteristics.
10. The system of claim 9 wherein the ECG characteristics further include one or more characteristics selected from the group including QT segment duration, delta wave character, anterior S-wave character and ectopic or pre-mature beats.