Minami K, Nakajima H, Toyoshima T
Teikyo University School of Medicine, Second Department of Surgery, Tokyo, Japan.
IEEE Trans Biomed Eng. 1999 Feb;46(2):179-85. doi: 10.1109/10.740880.
We have developed a method to discriminate life-threatening ventricular arrhythmias by observing the QRS complex of the electrocardiogram (ECG) in each heartbeat. Changes in QRS complexes due to rhythm origination and conduction path were observed with the Fourier transform, and three kinds of rhythms were discriminated by a neural network. In this paper, the potential of our method for clinical uses and real-time detection was examined using human surface ECG's and intracardiac electrograms (EGM's). The method achieved high sensitivity and specificity (> or = 0.98) in discrimination of supraventricular rhythms from ventricular ones. We also present a hardware implementation of the algorithm on a commercial single-chip CPU.
我们已经开发出一种方法，通过观察每次心跳的心电图（ECG）的QRS波群来鉴别危及生命的室性心律失常。利用傅里叶变换观察了由于节律起源和传导路径导致的QRS波群变化，并通过神经网络鉴别出三种节律。在本文中，我们使用人体表面心电图和心内电图（EGM）检验了该方法在临床应用和实时检测方面的潜力。该方法在鉴别室上性节律和室性节律方面具有很高的灵敏度和特异性（≥0.98）。我们还展示了该算法在商用单芯片CPU上的硬件实现。
