Classification of Asphyxia and Ventricular Fibrillation Induced Cardiac Arrest for Cardiopulmonary Resuscitation

Dieter Bender1, Vinay Nadkarni2, C. Nataraj1

  • 1Villanova University
  • 2Children's Hospital of Philadelphia

Details

Category

4-Page Contributed Papers (Oral)

Sessions

09:30 - 11:00 | Wed 8 Nov | Room G1-G2 | WAT3

Technical Session Track 3

Abstract

In this study we address an important pediatric cardiopulmonary resuscitation problem to identify the cause of a cardiac arrest during the beginning of cardiopulmonary resuscitation. A support vector algorithm was trained and tested using a feature set constructed through wavelet transform analysis of experimental electrocardiography and heart rate data provided by Children's Hospital of Philadelphia. The approach developed in this study yielded an average classification accuracy above 93%.

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