@inproceedings{dbcea0ecfc7b4dfda4526626f500deae,
title = "A best detecting synchrony method in audio STROOP EEG based on wavelet coherence",
abstract = "Advanced brain function requires different levels of integration and coordination between multi-regional nervous systems, the underlying mechanism is the simultaneous oscillation of various neural networks. EEG is an increasingly method to detect brain function with high temporal resolution and low cost. How to analyze the synchronization phenomenon is the focus of cognitive neuroscience research based on EEG signals. Wavelet coherence is a classical method to evaluate EEG synchronization, but it is uncertain how to use. In this paper, this requires knowledge of the true relationship between signals, hence we compare different measures of functional connectivity on simulated data (unidirectional coupled H{\'e}non maps, and the auditory Stroop EEG), including wavelet cross-spectrum, wavelet correlation, wavelet coherence and FFT coherence. To determine whether synchrony is detected, surrogate data were generated and analyzed, and FFT coherence measures performed best on simulated data. Above all, the parameter optimization method of the wavelet cross-spectrum is proposed with many samples. It is found that the optimized wavelet coherence performed most reliably than FFT coherence.",
keywords = "EEG, Shannon entropy, Synchronous, Wavelet coherence",
author = "Kang Liu and Chunying Fang and Haifeng Li and Tingpeng Li",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 3rd International Conference on Cognitive Computing, ICCC 2019, held as part of the Services Conference Federation, SCF 2019 ; Conference date: 25-06-2019 Through 30-06-2019",
year = "2019",
doi = "10.1007/978-3-030-23407-2\_17",
language = "英语",
isbn = "9783030234065",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "197--204",
editor = "Ruifeng Xu and Jianzong Wang and Liang-Jie Zhang",
booktitle = "Cognitive Computing – ICCC 2019 - 3rd International Conference, Held as Part of the Services Conference Federation, SCF 2019, Proceedings",
address = "德国",
}