Abstract：According to the characteristics of defibrillation rhythm, an algorithm for automatic defibrillation rhythm detection was
proposed base on multiple characteristic parameters. First, the original electrocardiosignal preprocessed. Then, the peak slope,
amplitude probability density, mean square deviation of peak amplitudes, waveform complexity, and heart rate parameters of the
signal were calculated, respectively. Finally, the defibrillation rhythm was automatically detected by comprehensively analyzing
these parameters through a decision tree method. The algorithm was evaluated using public standard databases, such as CU,
AHA, MIT-BIH, VFDB, and NST, and Mindray clinical database. The results indicate that the proposed algorithm shows a good
performance in both sensitivity and specificity, and is safe and effective for clinical application.
洪俊标，蒋浩宇，何先梁，叶文宇，孙泽辉. 一种实用的可除颤节律识别算法[J]. 中国医疗设备, 2019, 34(1): 25-29.
HONG Junbiao, JIANG Haoyu, HE Xianliang, YE Wenyu, SUN Zehui. A Practical Algorithm for Defibrillation Rhythm Detection. China Medical Devices, 2019, 34(1): 25-29.
