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    • 1. 发明申请
    • Method and apparatus for synthetically detecting ventricular fibrillation
    • 用于综合检测心室颤动的方法和装置
    • US20070179393A1
    • 2007-08-02
    • US11607457
    • 2006-12-01
    • Wenyu YeJunbiao HongShufeng LiSan Lu
    • Wenyu YeJunbiao HongShufeng LiSan Lu
    • A61B5/04
    • A61B5/046A61B5/7239
    • The present application discloses a complexity-based method for synthetically detecting ventricular fibrillation, which centers on complexity calculations while incorporating a plurality of feature values and thus differentiates more effectively among various types of ECG signals. The method further modifies the complexity algorithm, making it more adapted to reflecting characteristics of the VF-related signals, thereby enabling high sensitivity and specificity of detection. Further, the related calculation load is reduced according to the algorithm. As such, the method can fully satisfy the clinical needs and is aimed for solving the problems of low sensitivity, low specificity and weak anti-interference ability present in current medical equipment for detecting ventricular fibrillation, such as monitors, implanted cardioversion defibrillator (ICD), automatic external defibrillator (AED) and so on. Systems for performing the method are also disclosed.
    • 本申请公开了一种用于综合检测心室颤动的基于复杂度的方法,其基于复杂性计算,同时并入多个特征值,并因此在各种类型的ECG信号之间更有效地区分。 该方法进一步修改了复杂度算法,使其更适合于反映VF相关信号的特性,从而实现高灵敏度和检测特异性。 此外,根据算法减少相关的计算负荷。 因此,该方法可以完全满足临床需要,旨在解决目前用于检测心室纤维性颤动的医疗设备中的低灵敏度,低特异性和抗干扰能力弱的问题,如监护仪,植入式心脏复律除颤器(ICD) ,自动外部除颤器(AED)等。 还公开了用于执行该方法的系统。
    • 3. 发明授权
    • Method and apparatus for synthetically detecting ventricular fibrillation
    • 用于综合检测心室颤动的方法和装置
    • US07881779B2
    • 2011-02-01
    • US11607457
    • 2006-12-01
    • Wenyu YeJunbiao HongShufeng LiShan Lu
    • Wenyu YeJunbiao HongShufeng LiShan Lu
    • A61B5/0402
    • A61B5/046A61B5/7239
    • The present application discloses a complexity-based method for synthetically detecting ventricular fibrillation, which centers on complexity calculations while incorporating a plurality of feature values and thus differentiates more effectively among various types of ECG signals. The method further modifies the complexity algorithm, making it more adapted to reflecting characteristics of the VF-related signals, thereby enabling high sensitivity and specificity of detection. Further, the related calculation load is reduced according to the algorithm. As such, the method can fully satisfy the clinical needs and is aimed for solving the problems of low sensitivity, low specificity and weak anti-interference ability present in current medical equipment for detecting ventricular fibrillation, such as monitors, implanted cardioversion defibrillator (ICD), automatic external defibrillator (AED) and so on. Systems for performing the method are also disclosed.
    • 本申请公开了一种用于综合检测心室颤动的基于复杂度的方法,其基于复杂性计算,同时并入多个特征值,并因此在各种类型的ECG信号之间更有效地区分。 该方法进一步修改了复杂度算法,使其更适合于反映VF相关信号的特性,从而实现高灵敏度和检测特异性。 此外,根据算法减少相关的计算负荷。 因此,该方法可以完全满足临床需要,旨在解决目前用于检测心室颤动的医疗设备中的低灵敏度,低特异性和抗干扰能力弱的问题,如监护仪,植入式心脏复律除颤器(ICD) ,自动外部除颤器(AED)等。 还公开了用于执行该方法的系统。