用于生物医学信号的时不变多电极平均法
TIME INVARIANT MULTI ELECTRODE AVERAGING FOR BIOMEDICAL SIGNALS.
作者信息
Orellana R Martinez, Erem B, Brooks D H
机构信息
Comm. and Digital Signal Proc. Center, Dept. of ECE, Northeastern University, Boston, MA, USA.
出版信息
Proc IEEE Int Conf Acoust Speech Signal Process. 2013 Dec 31;2013:1242-1246. doi: 10.1109/ICASSP.2013.6637849.
Abstract
One of the biggest challenges in averaging ECG or EEG signals is to overcome temporal misalignments and distortions, due to uncertain timing or complex non-stationary dynamics. Standard methods average individual leads over a collection of epochs on a time-sample by time-sample basis, even when multi-electrode signals are available. Here we propose a method that averages multi electrode recordings simultaneously by using spatial patterns and without relying on time or frequency.
摘要
平均心电图（ECG）或脑电图（EEG）信号时最大的挑战之一是克服由于时间不确定或复杂的非平稳动态而导致的时间错位和失真。即使有多电极信号，标准方法也是在逐个时间样本的基础上，对多个时段的单个导联进行平均。在此，我们提出一种方法，该方法通过使用空间模式同时对多电极记录进行平均，且不依赖于时间或频率。
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