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Spatial covariance improves BCI performance for late ERPs components with high temporal variability.
Journal of Neural Engineering ( IF 4 ) Pub Date : 2020-06-24 , DOI: 10.1088/1741-2552/ab95eb
Ruslan Aydarkhanov 1 , Marija Ušćumlić , Ricardo Chavarriaga , Lucian Gheorghe , José Del R Millán
Affiliation  

Objective. Event Related Potentials (ERPs) reflecting cognitive response to external stimuli, are widely used in brain computer interfaces. ERP waveforms are characterized by a series of components of particular latency and amplitude. The classical ERP decoding methods exploit this waveform characteristic and thus achieve a high performance only if there is sufficient time- and phase-locking across trials. The required condition is not fulfilled if the experimental tasks are challenging or if it is needed to generalize across various experimental conditions. Features based on spatial covariances across channels can potentially overcome the latency jitter and delays since they aggregate the information across time. Approach. We compared the performance stability of waveform and covariance-based features as well as their combination in two simulated scenarios: 1) generalization across experiments on Error-related Potentials and 2) dealing with larger latency jitter ...

中文翻译:

空间协方差可提高具有高时间变异性的后期ERP组件的BCI性能。

目的。反映对外部刺激的认知反应的事件相关电位(ERP)被广泛用于大脑计算机界面。ERP波形的特征是一系列具有特定延迟和幅度的成分。经典的ERP解码方法利用了这种波形特征,因此只有在整个试验中有足够的时间和相位锁定时,才能实现高性能。如果实验任务具有挑战性,或者需要在各种实验条件下进行概括,则无法满足所需条件。由于基于通道的空间协方差的功能可以跨时间聚合信息,因此可以潜在地克服等待时间抖动和延迟。方法。
更新日期:2020-06-25
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