کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6269482 | 1295139 | 2012 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Computational NeuroscienceThe extraction of LRP via functional data analysis techniques Computational NeuroscienceThe extraction of LRP via functional data analysis techniques](/preview/png/6269482.png)
A new strategy based on functional data analysis (FDA) techniques is proposed to extract the lateralized readiness potential (LRP), which treats electroencephalographic data as functional data. This FDA-based method combines longitudinal information from each trial (time series data) with cross-sectional information from all trials at a fixed time point (cross-sectional data). The comparison results show that the FDA-based LRP is closer to the assumed true LRP and is more robust against a reduction in the number of trials than the traditional average-based LRP. Furthermore, the results indicate that the onset of an FDA-based LRP is more accurate than that of an average-based LRP under several measuring criteria.
⺠A new strategy based on functional data analysis (FDA) techniques is proposed to extract the lateralized readiness potential (LRP). ⺠The FDA-based method combines longitudinal information of each trial (time series data) with cross-sectional information from all trials at a fixed time point (cross-sectional data). ⺠The comparison results show that the FDA-based LRP is closer to the assumed true LRP than the traditional average-based LRP. Meanwhile, the onset of an FDA-based LRP is more accurate than that of an average-based LRP under several measuring criteria.
Journal: Journal of Neuroscience Methods - Volume 206, Issue 1, 30 April 2012, Pages 94-101