Jekova Irena, Krasteva Vessela
Centre of Biomedical Engineering, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
Physiol Meas. 2004 Oct;25(5):1167-78. doi: 10.1088/0967-3334/25/5/007.
The automatic external defibrillator (AED) is a lifesaving device, which processes and analyses the electrocardiogram (ECG) and delivers a defibrillation shock to terminate ventricular fibrillation or tachycardia above 180 bpm. The built-in algorithm for ECG analysis has to discriminate between shockable and non-shockable rhythms and its accuracy, represented by sensitivity and specificity, is aimed at approaching the maximum values of 100%. An algorithm for VF/VT detection is proposed using a band-pass digital filter with integer coefficients, which is very simple to implement in real-time operation. A branch for wave detection is activated for heart rate measurement and an auxiliary parameter calculation. The method was tested with ECG records from the widely recognized databases of the American Heart Association (AHA) and the Massachusetts Institute of Technology (MIT). A sensitivity of 95.93% and a specificity of 94.38% were obtained.
自动体外除颤器（AED）是一种救生设备，它能处理和分析心电图（ECG），并提供除颤电击以终止心室颤动或心率超过180次/分钟的心动过速。用于心电图分析的内置算法必须区分可电击和不可电击的心律，其准确性由灵敏度和特异性表示，目标是接近100%的最大值。提出了一种使用具有整数系数的带通数字滤波器的室颤/室速检测算法，该算法在实时操作中非常易于实现。激活一个用于波形检测的分支以进行心率测量和辅助参数计算。该方法使用美国心脏协会（AHA）和麻省理工学院（MIT）广泛认可的数据库中的心电图记录进行了测试。获得了95.93%的灵敏度和94.38%的特异性。
