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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检测新算法

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摘要

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 defib-rillator 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,严重的心律不齐,例如心室纤颤(VF)和室性心动过速(VT),是致命的心脏,会导致心脏猝死。对于这些严重的心律失常事件,及时使用电动除颤器可能会导致成功的结果,因此建议广泛使用自动体外除颤器(AED)。尽管准确,快速地检测这些事件是AED中最重要的功能,但这并不容易。在本文中,我们提出了一种基于心电图频谱特征的新的心电图检测算法。

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