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A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging
المؤلفون المشاركون
Zhang, Huaxiong
Liu, Feng
Shou, Guofa
Wang, Yaming
Huang, Wenqing
Jiang, Mingfeng
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-11-01
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Noninvasive electrocardiographic imaging, such as the reconstruction of myocardial transmembrane potentials (TMPs) distribution, can provide more detailed and complicated electrophysiological information than the body surface potentials (BSPs).
However, the noninvasive reconstruction of the TMPs from BSPs is a typical inverse problem.
In this study, this inverse ECG problem is treated as a regression problem with multi-inputs (BSPs) and multioutputs (TMPs), which will be solved by the Maximum Margin Clustering- (MMC-) Support Vector Regression (SVR) method.
First, the MMC approach is adopted to cluster the training samples (a series of time instant BSPs), and the individual SVR model for each cluster is then constructed.
For each testing sample, we find its matched cluster and then use the corresponding SVR model to reconstruct the TMPs.
Using testing samples, it is found that the reconstructed TMPs results with the MMC-SVR method are more accurate than those of the single SVR method.
In addition to the improved accuracy in solving the inverse ECG problem, the MMC-SVR method divides the training samples into clusters of small sample sizes, which can enhance the computation efficiency of training the SVR model.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jiang, Mingfeng& Liu, Feng& Wang, Yaming& Shou, Guofa& Huang, Wenqing& Zhang, Huaxiong. 2012. A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-472125
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jiang, Mingfeng…[et al.]. A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-472125
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jiang, Mingfeng& Liu, Feng& Wang, Yaming& Shou, Guofa& Huang, Wenqing& Zhang, Huaxiong. A Hybrid Model of Maximum Margin Clustering Method and Support Vector Regression for Noninvasive Electrocardiographic Imaging. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-472125
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-472125
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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