Qiao Yingyan, Wang Jun
Image Processing and Image Communications Key Lab., College of Telecommunications & Information Engineering, Nanjing Univ. of Posts & Telecomm, Nanjing 210003, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Oct;27(5):995-8.
This study sought to disclose whether Hurst index can be used as a criterion for distinguishing sinus and atrial arrhythmia signals. Normal sinus rhythm beats, atrial premature contraction (APC) beats, and sinus bradycardia (SBR) signals, were taken from the MIT-BIH standard database. Hurst index method was used to distinguish the two kinds of arrhythmia. The results showed that the Hurst exponents of three kinds of signals were larger than 0.5, but they were in different value region. The data indicated that the long-term relevant character was the best for normal signal, better for sinus bradycardia, and the worst for atrial premature beats. So Hurst index is a useful identification criterion for distinguishing sinus and atrial arrhythmia signals.
本研究旨在揭示赫斯特指数是否可作为区分窦性和房性心律失常信号的标准。正常窦性心律搏动、房性早搏（APC）搏动和窦性心动过缓（SBR）信号取自麻省理工学院 - 贝斯以色列女执事医疗中心（MIT - BIH）标准数据库。采用赫斯特指数法区分这两种心律失常。结果表明，三种信号的赫斯特指数均大于0.5，但处于不同的取值范围。数据表明，长期相关性特征对正常信号最佳，对窦性心动过缓较好，对房性早搏最差。因此，赫斯特指数是区分窦性和房性心律失常信号的有用识别标准。
