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首页> 外文会议> >Ventricular fibrillation detection in ventricular fibrillation signals corrupted by cardiopulmonary resuscitation artifact
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Ventricular fibrillation detection in ventricular fibrillation signals corrupted by cardiopulmonary resuscitation artifact

机译：心肺复苏伪影破坏的室颤信号中的室颤检测

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This study is focused on the removal of artifacts due to cardiopulmonary resuscitation (CPR) on ventricular fibrillation ECG signals. The aim is to allow a reliable analysis of the cardiac rhythm by an AED or the defibrillation success analysis during CPR episodes. The research is based on a human model for the CPR artifact and the VF ECG signals. The test signals were generated adding the CPR artifact (noise) to the VF (signal), with a known signal-to-noise Ratio (SNR). The results of the adaptive Kalman filtering have been obtained according to three different levels: SNR improvement; sensitivity improvement in the AED algorithm for the detection of shockable rhythm; and variations of the significant frequencies, compared to the values obtained with the original VF signals. In all cases, remarkable results have been achieved regarding to the efficiency in the artifact removal.
机译：这项研究的重点是消除心室颤动ECG信号引起的心肺复苏（CPR）造成的伪影。目的是允许在CPR发作期间通过AED或除颤成功分析对心律进行可靠的分析。该研究基于CPR伪像和VF ECG信号的人体模型。以已知的信噪比（SNR）生成将CPR伪像（噪声）添加到VF（信号）的测试信号。自适应卡尔曼滤波的结果已根据三个不同的级别获得：SNR改善; AED算法对电击性心律检测的灵敏度提高;与原始VF信号获得的值相比，有效频率的变化和显着变化。在所有情况下，就去除伪影的效率而言，均取得了显着的结果。

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