Detection of myocardial infarction from vectorcardiogram using relevance vector machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-017-1068-9/fulltext.html
Reference41 articles.
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3. Acharya, U.R., Fujita, H., Sudarshan, V.K., Oh, S.L., Adam, M., Koh, J.E., Tan, J.H., Ghista, D.N., Martis, R.J., Chua, C.K., et al.: Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads. Knowl. Based Syst. 99, 146–156 (2016)
4. Acharya, U.R., Fujita, H., Adam, M., Lih, O.S., Sudarshan, V.K., Hong, T.J., Koh, J.E., Hagiwara, Y., Chua, C.K., Poo, C.K., et al.: Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ecg signals: A comparative study. Inf. Sci. 377, 17–29 (2017)
5. Tranchesi, J., Teixeira, V., Ebaid, M., Boccalandro, I., Bocanegra, J., Pileggi, F.: The vectorcardiogram in dorsal or posterior myocardial infarction. Am. J. Cardiol. 7(4), 505–510 (1961)
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