A Learning Based Statistical Approach for Combining Multiple Measurements in Electrocardiographic Imaging


Erenler T., Dogrusoz Y.

45th Computing in Cardiology Conference (CinC), Maastricht, Netherlands, 23 - 26 September 2018 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.22489/cinc.2018.314
  • City: Maastricht
  • Country: Netherlands

Abstract

Kalman filter has been applied in literature to inverse electrocardiography problem as a spatio-temporal method. However, there is still an open question of how the essential parameters in the state-space representation are found without claiming strong assumptions. In this study, we proposed a maximum likelihood (ML) estimation based method which incorporates multiple body surface measurements to estimate the parameters that are essential to use Kalman filter.