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康健楠

發布日期:2016-01-17    點擊:

康健楠:bevictor伟德官网碩士生導師,博士生。孤獨症研究所國際聯盟(International Consortium of Autism Institutes)成員,國家孤獨症輔助技術專業學組成員。研究方向為兒童腦發育及腦調控方法,主持國家基金一項,橫向課題一項;已在國内外期刊發表專業論文三十餘篇。

主持或參與項目:

1. 國家自然科學基金青年項目,62001153,基于個體化評估的經顱直流電刺激調控孤獨症腦網絡研究,2021/01-2023/12,主持

2. 國家自然科學基金國際(地區)合作與交流項目,61761166003,孤獨症腦認知功能障礙的輔助診斷與調控技術, 2018/01-2020/12, 參與

代表性論文:

[1] Jiannan. Kang, Erjuan. Cai, E.M. Sokhadze, M.F. Casanova, and Xiaoli. Li*, Transcranial Direct Current Stimulation (tDCS) Can Modulate EEG Complexity of Children with Autism Spectrum Disorder. Frontiers in Neuroscience[J] 2018 (12).

[2] Jiannan. Kang, JiaJia Song, Manuel F. Casanova, Estate M. Sokhadze, and Xiaoli. Li*, Effects of repetitive transcranial magnetic stimulation on children withlow-function autism. CNS Neuroscience & Therapeutics[J] 2019(25):1254-1261.

[3] Ke. Zeng#, Jiannan. Kang#, E.M. Sokhadze, M.F. Casanova, and Xiaoli. Li*, Disrupted Brain Network in Children with Autism Spectrum Disorder. Scientific Reports[J] 2017(7).

[4] Jiannan Kang, Tianyi Zhou, Han, and Xiaoli Li*, EEG-based multi-feature fusion assessment for autism. J Clin Neurosci[J] 2018(56):101-107.

[5] Jiannan Kang, Huimin Chen, and Xiaoli Li*, EEG entropy analysis in autistic children. J Clin Neurosci[J] 2019(62):199-206.

[6] Jiannan Kang, Xiaoya Han, Jiajia Song, Zikang Niu and Xiaoli. Li*, The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data. Computers in Biology and Medicine[J] 2020(120).

[7] Jie Zhao, Jiajia Song, Xiaoli Li, Jiannan Kang*. A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method [J]. Brain and Behavior, 2020(10):1-8.

[8] Jiannan Kang, Xiaoya Han, Jon-Fan Hu, Hua Feng and Xiaoli Li*, The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach. J Clin Neurosci[J] 2020(81):54-60.

[9] 趙傑, 宋佳佳, 陳賀, 李小俚, 康健楠#. 基于奇異譜分析方法的孤獨症兒童腦電信号特征提取及分類[J]. 科學通報, 2019,64(1)1-9.

[10] 聞芳, 龐姣,李小俚, 康健楠#. 經顱直流電刺激對孤獨症譜系障礙兒童腦電的影響研究[J]. 中國生物醫學工程學報, 2019,38(5)566-572.

[11] 趙傑, 丁萌, 佟祯, 李小俚, 康健楠#. 基于熵算法的孤獨症譜系障礙兒童腦電特征提取與分類[J]. 生物醫學工程學雜志, 2019,36(2)183-188.

[12] 佟祯, 丁萌, 李小俚, 蔡二娟, 康健楠#. 低頻重複經顱磁刺激對孤獨症兒童腦電節律的影響[J]. 生物醫學工程學雜志, 2018,35(3)337-342.

[13] 張丹, 張帥, 李小俚, 康健楠#. 基于小波相幹性算法的孤獨症兒童腦電評估[J]. 自動化學報,2021,(3)678-684.

[14] 崔冬, 韓曉雅, 陳賀, 李小俚, 康健楠#. 基于面孔加工異常的孤獨症兒童識别[J]. 科學通報,2020, (20)2128-2135.


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