A new shockable rhythm detection algorithm for AED.
- Author:
Cong LIU
1
;
Hai-Lang SONG
;
Xiao-Mei WU
;
Zu-Xiang FANG
Author Information
1. School of Information Science and Engineering, Fudan University, Shanghai. liucong84@gmail.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Defibrillators;
Electric Countershock;
instrumentation;
Predictive Value of Tests;
Sensitivity and Specificity
- From:
Chinese Journal of Medical Instrumentation
2009;33(5):320-322
- CountryChina
- Language:Chinese
-
Abstract:
EMG, This paper introduces a slope variability algorithm which uses the CU Database and the AHA Database. The sensitivity, specificity, positive predictivity and accuracy are calculated and these values are compared with the results from two earlier detection algorithms. The results show this algorithm is more effective and fast than other algorithms.
