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A NEW DETECTION ALGORITHM BASED ON SPECTRUM FEATURES FOR ELECTROCARDIOGRAM

机译:一种基于频谱特征的心电图谱的新检测算法

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In Electrocardiogram (ECG), it is well known that serious arrhythmia such as Ventricular Fibrillation (VF) and Ventricular Tachycardia (VT) are lethal cardiac and will lead to sudden cardiac death. For these serious arrhythmic events, the timely employment of an electrical defibrillator may lead to successful results and thus widespread deployment of Automated External Defibrillators (AEDs) has been suggested. Although accurate and quick detection of these events is the most important function in AEDs, it is not easy. In this paper, we propose a new ECG detection algorithm based on spectrum features of ECG.
机译:在心电图(ECG)中,众所周知,严重的心律失常如心室颤动(VF)和心室性心动过速(VT)是致死的心脏,导致心脏病突然死亡。 对于这些严重的心律失常事件,电力除颤器的及时就业可能导致成功的结果,并提出了自动化外部除颤器(AED)的广泛部署。 虽然对这些事件的准确和快速检测是AED中最重要的功能,但并不容易。 本文提出了一种基于ECG频谱特征的新型ECG检测算法。

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