Center of Digital Signal Processing, Cardiff University,Cardiff, CF24 3AA, UK.
IEEE Trans Biomed Eng. 2011 Jan;58(1):132-43. doi: 10.1109/TBME.2010.2083660. Epub 2010 Oct 4.
A novel spatiotemporal filtering method for single trial estimation of event-related potential (ERP) subcomponents is proposed here. Unlike some previous works in ERP estimation [1], , the proposed method is able to estimate temporally correlated ERP subcomponents such as P3a and P3b. A new cost function is, therefore, defined which can deflate one of the correlated subcomponents. The method is applied to both simulated and real data and has shown to perform very well even in low signal-to-noise ratio situations. In addition, the method is compared to spatial principal component analysis and its superiority has been confirmed by using simulated signals. The approach can be especially useful in mental fatigue analysis where the relative variability of P300 subcomponents is the key factor in detecting the level of fatigue.
本文提出了一种新的用于单试次事件相关电位（ERP）子成分估计的时空滤波方法。与以前的一些 ERP 估计工作[1]不同，该方法能够估计时间相关的 ERP 子成分，如 P3a 和 P3b。因此，定义了一个新的代价函数，可以抑制其中一个相关的子成分。该方法应用于模拟和真实数据，即使在低信噪比情况下也表现得非常好。此外，该方法与空间主成分分析进行了比较，并用模拟信号证实了其优越性。该方法在精神疲劳分析中特别有用，其中 P300 子成分的相对可变性是检测疲劳程度的关键因素。
