Lu Meihong, 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. 2009 Dec;26(6):1234-6.
As is known in literature, the Base-scale Entropy Measure is useful for analyzing short-term heart rate variability signals. In this study, the method is applied to detect cardiac arrhythmias, including sinus and atrial arrhythmia. We detect and analyze normal sinus rhythm (NSR), atrial premature contraction (APC) and sinus bradycardia (SBR) signals. The selected data of NSR are obtained from the MIT-BIH normal sinus database, while others are from the MIT-BIH arrhythmia database. The results show the Base-scale Entropy can also detect sinus and atrial arrhythmia.
如文献中所知，基数尺度熵测度对于分析短期心率变异性信号很有用。在本研究中，该方法被应用于检测心律失常，包括窦性和房性心律失常。我们检测并分析正常窦性心律（NSR）、房性早搏（APC）和窦性心动过缓（SBR）信号。所选的NSR数据来自麻省理工学院-贝斯以色列女执事医疗中心（MIT-BIH）正常窦性数据库，而其他数据则来自MIT-BIH心律失常数据库。结果表明，基数尺度熵也可以检测窦性和房性心律失常。
