title: The extraction of LRP via functional data analysis techniques.
abstract: 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.
authors.affiliation: School of Mathematical Sciences, Harbin Normal University, Harbin, Heilongjiang 150025, China.
authors.forename: Yan-Bin
authors.initials: YB
authors.lastname: Zhao
authors.forename: Jian
authors.initials: J
authors.lastname: Tao
authors.forename: Ning-Zhong
authors.initials: NZ
authors.lastname: Shi
authors.forename: Ming
authors.initials: M
authors.lastname: Zhang
authors.forename: Jie
authors.initials: J
authors.lastname: Sui
mesh_terms: D003430:Cross-Sectional Studies; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D011897:Random Allocation; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors