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Implementation of automatic external defibrillator using real time ventricular fibrillation detecting algorithm based on time domain analysis

机译:基于时域分析的实时心室颤动检测算法自动体外除颤器的实现

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The increase in mortality associated with arrhythmia is an inevitable problem of modern society such as westernized eating habits and an increase in stress due to industrialization, and the related social costs are increasing. In this regard, the supply of automatic external defibrillator (AED) used outside hospitals is increasing mainly in public institutions, and AED is a medical practice performed by non-medical personnel. Therefore, studies on arrhythmia detection algorithm to make accurate clinical judgment for proper use are increasing. In this paper, we propose a time domain analysis method to detect arrhythmia in real time and implement AED by porting it to programmable gate array and digital signal processor. The analysis of the phase domain improves the detection rate of R-peak using the differentiated electrocardiogram (ECG) waveform rather than the existing ECG waveform and makes it easy to distinguish the normal ECG from the arrhythmia signal in the phase domain. The proposed algorithm was verified by simulation using Labview and ModelSim, and it was verified that the proposed algorithm works effectively by performing animal experiments using the implemented AED.
机译:与心律不齐相关的死亡率增加是现代社会不可避免的问题,例如西餐习惯和工业化导致的压力增加,并且相关的社会成本也在增加。在这方面,医院外部使用的自动体外除颤器(AED)的供应主要在公共机构中增加,并且AED是由非医务人员执行的医学实践。因此,关于心律失常检测算法以进行正确的临床判断以正确使用的研究正在增加。本文提出了一种时域分析方法,用于实时检测心律不齐并通过将AED移植到可编程门阵列和数字信号处理器中来实现。通过使用微分心电图(ECG)波形而不是现有的ECG波形,对相位域进行分析可以提高R峰的检测率,并且可以轻松地将正常ECG与心律失常信号区分开。通过使用Labview和ModelSim进行仿真验证了该算法,并通过使用实施的AED进行动物实验,验证了该算法有效。

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