2013
DOI: 10.1007/s00521-013-1510-z
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An improved method to calculate phase locking value based on Hilbert–Huang transform and its application

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Cited by 17 publications
(7 citation statements)
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“…The Phase-Locking Value. Given two simultaneously collected signals of length N, x 1 ðt l Þ, and x 2 ðt l Þ (l = 1, 2, ⋯, N), corresponding instantaneous phase series φ 1 ðt l Þ and φ 2 ðt l Þ are first calculated via Hilbert transformation [18]. Then, PLV which was originally proposed by Lachaux et al between x 1 and x 2 is defined as [19]…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The Phase-Locking Value. Given two simultaneously collected signals of length N, x 1 ðt l Þ, and x 2 ðt l Þ (l = 1, 2, ⋯, N), corresponding instantaneous phase series φ 1 ðt l Þ and φ 2 ðt l Þ are first calculated via Hilbert transformation [18]. Then, PLV which was originally proposed by Lachaux et al between x 1 and x 2 is defined as [19]…”
Section: Methodsmentioning
confidence: 99%
“…Given two simultaneously collected signals of length N , x 1 ( t l ), and x 2 ( t l ) ( l = 1, 2, ⋯, N ), corresponding instantaneous phase series φ 1 ( t l ) and φ 2 ( t l ) are first calculated via Hilbert transformation [ 18 ]. Then, PLV which was originally proposed by Lachaux et al between x 1 and x 2 is defined as [ 19 ] where Δ φ 12 ( t l ) = φ 1 ( t l ) − φ 2 ( t l ) represents the instantaneous phase difference between x 1 and x 2 and j represents imaginary unit.…”
Section: Methodsmentioning
confidence: 99%
“…For error-related functional connectivity study, Cohen(2015a) demonstrated that the surface Laplacian is likely to be the best spatial transformation in reducing volume conduction. Wei et al(2007) and Zhang et al(2014) applied common average reference (CAR) before computing PLV. A discrete Laplacian spatial filter was applied by Hamner et al (2011) to measure PLV and phase difference as control signals.…”
Section: Introductionmentioning
confidence: 99%
“…The other goal of the present study was to investigate the effects of spatial filtering on PLV feature because it is widely applied as control feature in BCI studies. There are different opinions about whether spatial filtering should be applied as pre-processing method in computing PLV (Wei et al,2007; Zhang et al,2014; Hamner et al, 2011; Brunner et al, 2006). According to the results shown in this paper, there is significant zero-phase PLV feature based on ear-referenced data for task prediction involves the electrodes in the supplementary area and those in the primary motor area (M1).…”
Section: Introductionmentioning
confidence: 99%
“…이전 연구에서 위상 정보는 빠른 시간의 변화에 대 한 뇌신경의 동조현상을 정확히 해석 가능하였으므로 (Ademoglu, A., & Demiralp, T., 1992;Babloyantz, A., 1988 (Sauseng, P., & Klimesch, W., 2008;Zhang, J. et al, 2014;Sweeney-Reed, C. M., & Nasuto, S. J., 2009 (Williams, N. et al, 2011;Pachori, R. B., & Bajaj, V., 2011 (Klimesch, W. et al, 2004 (Huang, N. E. et al, 1998 (Rilling, G., Flandrin, P., & Goncalves, P., 2003). 1…”
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