VIP内容

当前,心电图(ECG)一般仅展示8-12导联记录的心电信号(ECG),每条导联的ECG信号都是一个金属贴片记录得到的心脏跳动信息,并显示在一个视图上;而这个视图的“观察视角”可以通过金属贴片的位置和心电终端的连接线表达,如下图(a)所示。下图(b)展示了6个导联贴片的位置,心外科医生可以通过6个金属贴片接收到这6个“视角”的ECG信号。但实际上,仅靠这几个有限的导联不能覆盖医生所需的心电信息,例如在进行射频消融手术时,需要精细的心电信号以定位病灶。

本文提出了一个全新的概念:心电全景图(Electrocardio Panorama),并且提出了一个能够通过少数几个导联的ECG信号输入来生成心电全景图的神经网络模型(Neural electrocardio field network, Nef-Net)。所提出的Nef-Net在训练完之后,只要使用者输入一个或几个已知的ECG信号及其对应的“视角”,Nef-Net就能编码出该ECG信号对应的心电场的底层特征。而后,只需再给定一个想要的心电图的视角,Nef-Net能将心电场的底层特征转换生成该“视角”下的ECG信号(视图),其功能如下图所示。因此,在有了Nef-Net以后,使用者仅需要获得少数有限“视角”下的ECG视图,就能观察到任意“视角”的ECG信号。

成为VIP会员查看完整内容
0
14

最新论文

Consider the following model to study adversarial effects on opinion forming. A set of initially selected experts form their binary opinion while being influenced by an adversary, who may convince some of them of the falsehood. All other participants in the network then take the opinion of the majority of their neighbouring experts. Can the adversary influence the experts in such a way that the majority of the network believes the falsehood? Alon et al. [1] conjectured that in this context an iterative dissemination process will always be beneficial to the adversary. This work provides a counterexample to that conjecture. [1] N. Alon, M. Feldman, O. Lev, and M. Tennenholtz. How Robust Is the Wisdom of the Crowds? In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 2055-2061, 2015.

0
0
下载
预览
参考链接
Top
微信扫码咨询专知VIP会员