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- W293452357 abstract "[ANGLES] Heart diseases are the first cause of Mortality in the world. The percentage of the deceased who dies because of a cardiac infarction rises every year. Therefore, an early identification of typical signs may be of great value. An Electrocardiogram, a non-invasive tool, can diagnose some anomalies. This is a common method that is non-invasive but it only measures the electrical potential on the body surface. Thus, it might be interesting to find a way to compute the electrical activity of the heart. This is known as the inverse problem of electrocardiography (ECG). The aim of this Final Project is to propose a technique to improve the inverse problem of electrocardiography (ECG). This technique describes the trans-membrane potentials of the heart (TMP) using radial basis functions (RBF). The aim of this model is to reduce the dimensionality of the inverse problem to make it better posed, in a physiologically realistic manner." @default.
- W293452357 created "2016-06-24" @default.
- W293452357 creator A5086290041 @default.
- W293452357 date "2014-07-23" @default.
- W293452357 modified "2023-09-22" @default.
- W293452357 title "Advanced Spatial Temporal Regularization for Inverse Electrocardiography (ECG)" @default.
- W293452357 hasPublicationYear "2014" @default.
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