今天是:

学院概况

智能医学工程系

当前位置: 首页 >> 学院概况 >> 师资队伍 >> 智能医学工程系 >> 正文

康健楠

发布日期:2016-01-17    点击:

康健楠:河北大学硕士生导师,博士生。孤独症研究所国际联盟(International Consortium of Autism Institutes)成员,国家孤独症辅助技术专业学组成员。研究方向为儿童脑发育及脑调控方法,主持国家基金一项,横向课题一项;已在国内外期刊发表专业论文三十余篇。

主持或参与项目:

1. 国家自然科学基金青年项目,62001153,基于个体化评估的经颅直流电刺激调控孤独症脑网络研究,2021/01-2023/12,主持

2. 国家自然科学基金国际(地区)合作与交流项目,61761166003,孤独症脑认知功能障碍的辅助诊断与调控技术, 2018/01-2020/12, 参与

代表性论文:

[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] 赵杰, 宋佳佳, 陈贺, 李小俚, 康健楠#. 基于奇异谱分析方法的孤独症儿童脑电信号特征提取及分类[J]. 科学通报, 2019,64(1)1-9.

[10] 闻芳, 庞姣,李小俚, 康健楠#. 经颅直流电刺激对孤独症谱系障碍儿童脑电的影响研究[J]. 中国生物医学工程学报, 2019,38(5)566-572.

[11] 赵杰, 丁萌, 佟祯, 李小俚, 康健楠#. 基于熵算法的孤独症谱系障碍儿童脑电特征提取与分类[J]. 生物医学工程学杂志, 2019,36(2)183-188.

[12] 佟祯, 丁萌, 李小俚, 蔡二娟, 康健楠#. 低频重复经颅磁刺激对孤独症儿童脑电节律的影响[J]. 生物医学工程学杂志, 2018,35(3)337-342.

[13] 张丹, 张帅, 李小俚, 康健楠#. 基于小波相干性算法的孤独症儿童脑电评估[J]. 自动化学报,2021,(3)678-684.

[14] 崔冬, 韩晓雅, 陈贺, 李小俚, 康健楠#. 基于面孔加工异常的孤独症儿童识别[J]. 科学通报,2020, (20)2128-2135.


联系邮箱:kangjiannan81@163.com