中文摘要：

同样诽谤触发突然的心脏的死亡(SCD ) 的室的 tachyarrhythmias，两室的心悸亢进(vt ) 和室的纤维性颤动(VF ) 是死亡的主要原因。为 SCD 预防的最有效的治疗是植入有能力的 cardioverter 使用高压脉冲来消减心脏(ICD ) 。ICD 能精确地并且有效地识别致命的室的 tachyarrhythmias 即将来临并且交付震动以便恢复病人的正常湾穴节奏。在这研究，二非线性的复杂性基于熵测量：近似的熵(ApEn ) 和象两次线性的索引一样的样品熵(SampEn ) ：吝啬的 RR 间隔(在连续 R 波浪之间的时间间隔的一般水准) 和 RR 间隔的标准差被用于 VT-VF 出现的短期的预报。最后小节内部从 ICD 存储的 78 个病人先于 135 个 VT-VF 事件的敲击间隔被分析并且从一样的病人与个别地获得的控制相比预定系列(反对系列) ，它是通常内在的湾穴节奏。结果证明除了病人的心率的明显的增加，二项熵措施的价值比为反对系列的那些为 VT-VF 事件是显著地更小的。当室的 tachyarrhythmia 来临时，结论能被画那，病人的同情的音调被增加，并且他们的 RR 间隔的复杂性立即显然在 VT-VF 事件的发作前比在湾穴节奏期间记录的 RR 间隔的低。为更好的分离，阀值 r 的最佳的范围为二个算法被决定。ApEn 和 SampEn 措施可能是为在 cardioversion 和 defibrillation 的申请的威胁生活的室的 tachyarrhythmias 的短期的预言的合适的非线性的参数。

英文摘要：

As malign ventricular tachyarrhythmias triggering sudden cardiac death （SCD）, both ventricular tachycardla （VT） and ventricular fibrillation （VF） are major causes of mortality. The most efficient therapy for SCD prevention is implantable cardioverter defibrillators （ICD）. The ICD can accurately and effectively Identify the forthcoming of fatal ventricular tachyarrhythmlas and deliver a shock in order to restore patients＇ normal sinus rhythm. In this study, two nonlinear complexity measures based on entropy： approximate entropy （ApEn） and sample entropy （SampEn） as well as two time linear indices： the mean RR interval （the average of time intervals between consecutive R-waves） and the standard deviation of RR Intervals were used for short-term forecasting of VT-VF occurrence. The last small sections of interbeat Intervals preceding 135 VT-VF episodes from 78 patients stored by the ICD were analyzed and compared with individually acquired control time series （CON series） from the same patients, which are normally intrinsic sinus rhythms. The results demonstrate that in addition to an obvious increase in heart rates of the patients, the values of two entropy measures are significantly smaller for VT-VF episodes than those for CON series. Conclusions can be drawn that when a ventricular tachyarrhythmia approaches, the sympathetic tone of the patients is increased, and the complexity of their RR intervals immediately before the onset of VT-VF events is obviously lower than that of RR intervals recorded during sinus rhythms. For a better separation, the optimal range of threshold r is determined for two algorithms. ApEn and SampEn measures might be the suitable nonlinear parameters for shodterm prediction of life-threatening ventricular tachyarrhythmias in the application of the cardioversion and defibrillation.