Classification of Asphyxia & Ventricular Fibrillation Induced Cardiac Arrest For Cardiopulmonary Resuscitation

被引:0
作者
Bender, Dieter [1 ]
Morgan, Ryan W. [2 ]
Nadkarni, Vinay M. [2 ]
Nataraj, C. [1 ]
机构
[1] Villanova Univ, Villanova, PA 19085 USA
[2] Childrens Hosp Philadelphia, Crit Care Med, Philadelphia, PA USA
来源
2017 IEEE-NIH HEALTHCARE INNOVATIONS AND POINT OF CARE TECHNOLOGIES (HI-POCT) | 2017年
关键词
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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%.
引用
收藏
页码:225 / 228
页数:4
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