公开(公告)号：US06192273B1

公开(公告)日：2001-02-20

申请号：US08982362

申请日：1997-12-02

申请人： David A. Igel ,  Bruce L. Wilkoff

发明人： David A. Igel ,  Bruce L. Wilkoff

IPC分类号： A61N1365

CPC分类号： A61B5/0464 ,  A61B5/0428 ,  A61B5/7267

摘要： A nonprogrammable automated heart rhythm classifier that may be used alone or in conjunction with a therapy system for delivering shock treatment or therapeutic drugs to a patient, a monitoring or recording system, a paging or alarm system, or other rhythm classifying device. The nonprogrammable heart rhythm classifier is used to determine whether a patient's heart rhythm is normal, monomorphic tachycardia or polymorphic tachycardia from extracted features of the cardiac signal of a patent's heart. The extracted features are cycle length and regularity, and preferably with the addition of morphology. Prior to feature extraction, the cardiac electrical signal is conditioned with a signal conditioning system. The classifier may comprise a trained neural network or a trained discriminant function, which has been previously trained by a known set of classified heart rhythm data. Morphology can be estimated by kurtosis or from the probability density function. Regularity can be determined from approximate entropy, information dimension, correlation dimension or from Lyapunov's exponents of the patient's cardiac electrical signal. In yet another embodiment of the invention, adaptive sampling may be utilized to selectively digitize the cardiac electrical signal before classification occurs.

摘要翻译： 一种不可编程的自动心律分类器，其可以单独使用或与用于向患者，监测或记录系统，寻呼或报警系统或其他节律分类装置递送冲击治疗或治疗药物的治疗系统一起使用。 非编程心律分类器用于确定患者的心律是否正常，单形性心动过速或多形性心动过速从专利心脏的心脏信号的提取特征。 提取的特征是循环长度和规则性，并且优选地加入形态。 在特征提取之前，心电信号用信号调节系统调节。 分类器可以包括经过训练的神经网络或经过训练的判别函数，其已经被先前由已知的一组分类的心律数据训练。 形态可以通过峰度或概率密度函数来估计。 规律性可以从近似熵，信息维度，相关维数或来自患者心电信号的Lyapunov指数来确定。 在本发明的另一个实施例中，可以利用自适应采样来在分类发生之前选择性地数字化心脏电信号。