A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method-Reference-Cited by-同舟云学术

A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method

Published:2020-10-30 Issue:12 Volume:10 Page:
ISSN:2162-3279
Container-title:Brain and Behavior
language:en
Short-container-title:Brain Behav

Author:

Zhao Jie¹²,Song Jiajia¹²,Li Xiaoli³^ORCID,Kang Jiannan¹²^ORCID

Affiliation:

1. Institute of Electronic Information Engineering Hebei University Baoding China

2. Machine Vision Technology Creation Center of Hebei Province Baoding China

3. State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China

Publisher

Wiley

Subject

Behavioral Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/brb3.1721

Reference43 articles.

1. [Individual alpha peak frequency variability and reproducibility in various experimental conditions];Bazanova O. M.;Zhurnal Vysshei Nervnoi Deiatelnosti Imeni I. P. Pavlova,2011

2. Über das Elektrenkephalogramm des Menschen

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