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10a.002.TAU_WP2 - Early Myocardial Infarction Detection by Echocardiography

Project - Summary

  • Design a system to detect myocardial infarction (MI) in its early stages using echocardiography to help cardiologists with the diagnosis by a time-efficient, robust, and accurate system.
  • Multi-modal one-class classification is used to bring a solution to early MI detection using multi-view echocardiographic data that includes apical 4-chamber (A4C) and apical 2-chamber (A2C) views.
  • The largest multi-view 2D echocardiographic dataset for the purpose of MI detection is publicly shared to the research community.

Project - Team

Team Member Role Email Phone Number Academic Site/IAB
Moncef Gabbouj PI 358 40 073 6613 Tampere University
Serkan Kiranyaz Co-PI 97 43 063 5600 Tampere University
Aysen Degerli Researcher 358 46 521 9737 Tampere University
Christian Sundell Project Mentor N/A TietoEVRY
Iftikhar Admad Project Mentor N/A TietoEVRY

Project - Novelty of Approach

See “Project Summary” section above.

Project - Deliverables

1 Low-quality echocardiography restoration
2 Detection of MI over restored recordings

Project - Benefits to IAB

  • An assistive tool to help cardiologists and technicians to prevent subjective and operator-dependent assessments.
  • A time-efficient diagnosis, which will be life-saving tool in critical situations.

Project - Documents

projects/year10/10a.002.tau_wp2.txt · Last modified: 2022/05/13 08:24 by sally.johnson