A Shockable Rhythm Detection Algorithm Using Slope Variability

摘要：

The algorithm that can discriminate shockable(ShR) and nonshockable(NShR) rhythm automatically, accurately and timely is critical for Automatic External Defibrillators (AEDs). In this paper, an algorithm based on slope variability is proposed. The algorithm was validated by the CU Database, MIT Database and the files 7001-8210 of the AHA Database, and was evaluated by five parameters: the sensitivity, specificity, accuracy, IROC, and computational time. The result shows that this algorithm is more effective and faster than some earlier algorithms for AEDs.

作者: Cong Liu Hailang Song Xiaomei Wu Zuxiang Fang

作者单位: Dept.of Electronic Engineering, Fudan University Shanghai, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）