This study performs a comparison between Dower's inverse transform and Frank lead system for Myocardial Infarction (MI) identification. We have selected a set of relevant features for MI detection from the vectorcardiogram and used the lasso method after that to build a model for the Dower's inverse transform and one for the Frank leads system. Then we analyzed the performance between both models on MI detection. The proposed methods have been tested using PhysioNet PTB database that contains 550 records from which 368 are MIs. Two main conclusions are coming from this study. The first one is that Dower's inverse transform performs equally well than Frank leads in identification of MI patients. The second one is that lead positions have a large influence on the accuracy of MI patient identification.
|Number of pages||4|
|Journal||IEEE Engineering in Medicine and Biology Society|
|Publication status||Published - Aug 2015|
|Event||Annual International Conference of the IEEE Engineering in Medicine and Biology Society - |
Duration: 1 Jan 2010 → 1 Jan 2010