Time-locked and phase-locked features of P300 event-related potentials (ERPs) for brain-computer interface speller
Time-locked and phase-locked features of P300 event-related potentials (ERPs) for brain-computer interface speller
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DOI：
10.1016/j.bspc.2010.08.001
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发表时间：
2010-10
期刊：
影响因子：
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通讯作者：
Dong Ming;X. An;Youyuan Xi;Yong Hu;B. Wan;Hongzhi Qi;Longlong Cheng;Zhaojun Xue
中科院分区：
文献类型：
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作者：
Dong Ming;X. An;Youyuan Xi;Yong Hu;B. Wan;Hongzhi Qi;Longlong Cheng;Zhaojun Xue
脑机接口P300拼写器旨在帮助那些无法激活肌肉的患者利用大脑活动来拼写单词。然而，与使用这种脑机接口范例相关的一个问题是与视觉刺激反应相关的 P300 的生成机制。在此，我们研究了基于 P300 的脑机接口拼写器的事件相关电位 (ERP) 响应。一种集成相干平均、主成分分析（PCA）和独立成分分析（ICA）的信号预处理方法，以降低原始数据的维数和噪声。时频分析基于小波，计算事件相关谱扰动（ERSP）和试验间相干性（ITC）两个特征参数，分别指示诱发反应（时间锁定）和相位重置（锁相）活动。结果表明，该方法对于时间锁定和锁相特征提取是有效的，诱发反应和相位重置都有助于 P300 信号的产生。 ERP 的这些电生理反应特征将用于 BCI P300 拼写器设计及其信号处理策略。
The brain–computer interface P300 speller is aimed to help those patients unable to activate muscles to spell words by utilizing their brain activity. However, a problem associated with the use of this brain–computer interface paradigm is the generation mechanics of P300 related to responses to visual stimuli. Herein, we investigated the event-related potential (ERP) response for the P300-based brain–computer interface speller. A signal preprocessing method integrated coherent average, principal component analysis (PCA) and independent component analysis (ICA) to reduce the dimensions and noise in the raw data. The time–frequency analysis was based on wavelet and two characteristic parameters of event-related spectral perturbation (ERSP) and inter-trial coherence (ITC) were computed to indicate the evoked response (time-locked) and phase reset (phase-locked) activity, respectively. Results demonstrated that the proposed method was valid for the time-locked and phase-locked feature extraction and both the evoked response and phase reset contributed to the genesis of the P300 signal. These electrophysiological responses characteristics of ERPs would be used for BCI P300 speller design and its signal processing strategies.