title: [A new shockable rhythm detection algorithm for AED].
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.
authors.affiliation: School of Information Science and Engineering, Fudan University, Shanghai. liucong84@gmail.com.cn
authors.forename: Cong
authors.initials: C
authors.lastname: Liu
authors.forename: Hai-Lang
authors.initials: HL
authors.lastname: Song
authors.forename: Xiao-Mei
authors.initials: XM
authors.lastname: Wu
authors.forename: Zu-Xiang
authors.initials: ZX
authors.lastname: Fang
mesh_terms: D000465:Algorithms; D047548:Defibrillators; D004554:Electric Countershock / Q000295:instrumentation*; D011237:Predictive Value of Tests; D012680:Sensitivity and Specificity