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Rule-based Method for Extent and Localization of Myocardial Infarction by Extracted Features of ECG Signals using Body Surface Potential Map Data.

Safdarian N, Dabanloo NJ, Matini SA, Nasrabadi AM - J Med Signals Sens (2013)

Bottom Line: Finally, overall accuracy of this method was shown with SO, CED and EPD parameters.We obtained 1.16, 1 and 5.3952 for SO, CED and EPD, respectively, in our test data.Two main advantages of this method are simplicity and high accuracy.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

ABSTRACT
In this study, a method for determining the location and extent of myocardial infarction using Body Surface Potential Map data of PhysioNet challenge 2007 database is presented. This data is related to four patients with myocardial infarction. We used two patients as training set to determine rules and two other patients as testing set of the proposed model. First, T-wave amplitude, T-wave integral, Q-wave amplitude and R-wave amplitude as four features of ECG signals were extracted. Then we defined several rules and proper thresholds for localization and determining the extent of myocardial infarction. To determine the precise location and extent of myocardial infarction, 17-segment standard model of left ventricle was used. Finally, overall accuracy of this method was shown with SO, CED and EPD parameters. We obtained 1.16, 1 and 5.3952 for SO, CED and EPD, respectively, in our test data. Two main advantages of this method are simplicity and high accuracy.

No MeSH data available.


Related in: MedlinePlus

Results of the T-wave integral as the feature on the horizontal lines for Case #1 as the first patient in the training set
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Figure 11: Results of the T-wave integral as the feature on the horizontal lines for Case #1 as the first patient in the training set

Mentions: In this equation, the coefficient α is obtained from the T-wave integral feature from the data of two cases in the training set. Figures 11 and 12 show the results of the T-wave integral as the feature extracted from horizontal lines for Case #1 and Case #2 as the training set, respectively.


Rule-based Method for Extent and Localization of Myocardial Infarction by Extracted Features of ECG Signals using Body Surface Potential Map Data.

Safdarian N, Dabanloo NJ, Matini SA, Nasrabadi AM - J Med Signals Sens (2013)

Results of the T-wave integral as the feature on the horizontal lines for Case #1 as the first patient in the training set
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3959003&req=5

Figure 11: Results of the T-wave integral as the feature on the horizontal lines for Case #1 as the first patient in the training set
Mentions: In this equation, the coefficient α is obtained from the T-wave integral feature from the data of two cases in the training set. Figures 11 and 12 show the results of the T-wave integral as the feature extracted from horizontal lines for Case #1 and Case #2 as the training set, respectively.

Bottom Line: Finally, overall accuracy of this method was shown with SO, CED and EPD parameters.We obtained 1.16, 1 and 5.3952 for SO, CED and EPD, respectively, in our test data.Two main advantages of this method are simplicity and high accuracy.

View Article: PubMed Central - PubMed

Affiliation: Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

ABSTRACT
In this study, a method for determining the location and extent of myocardial infarction using Body Surface Potential Map data of PhysioNet challenge 2007 database is presented. This data is related to four patients with myocardial infarction. We used two patients as training set to determine rules and two other patients as testing set of the proposed model. First, T-wave amplitude, T-wave integral, Q-wave amplitude and R-wave amplitude as four features of ECG signals were extracted. Then we defined several rules and proper thresholds for localization and determining the extent of myocardial infarction. To determine the precise location and extent of myocardial infarction, 17-segment standard model of left ventricle was used. Finally, overall accuracy of this method was shown with SO, CED and EPD parameters. We obtained 1.16, 1 and 5.3952 for SO, CED and EPD, respectively, in our test data. Two main advantages of this method are simplicity and high accuracy.

No MeSH data available.


Related in: MedlinePlus