讲师/助理研究员

王坤

职称:讲师

邮箱:flora_wk@tju.edu.cn

电话:022-83612122

地址:天津大学医工院办公楼107室

个人简介

王坤,1991年出生于河北省石家庄市井陉县,博士,2020年于天津大学获得博士学位,并留校任职。

教育背景

2015.09至2020.06, 天津大学, 生物医学工程, 博士(硕博连读)

2013.09至2020.06, 天津大学, 生物医学工程, 硕士

2009.09至2013.06, 河北工业大学, 生物医学工程, 学士


工作经历

2020.11至今, 天津大学医学工程与转化医学研究院,讲师


主要研究方向

主要研究方向为神经科学与工程、运动意图脑电信号特征提取及其在神经康复中的应用。研究兴趣为基于运动意图的主动式脑-机接口设计与开发。


代表性学术成果

[1]Wang K, Xu M, Wang Y, Zhang S, Chen L, Ming D. Enhance Decoding of Pre-movement EEG Patterns for Brain-Computer Interfaces. Journal of neural engineering. 2020, 17(1): 016033

[2]  Wang K, Wang Z, Guo Y, He F, Qi H, Xu M, Ming D. A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study. Journal of neuroengineering and rehabilitation, 2017, 14(1): 93.

[3]Wang K, Xu M, Zhang S, Ke Y, Ming D. Analysis and classification for EEG patterns of force motor imagery using movement related cortical potentials. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2018: 211-214.

[4]Wang K, Wang Z, Guo Y, He F, Qi H, Xu M, Ming D. An EEG study on hand force imagery for brain-computer interfaces. 8th International IEEE/EMBS Conference on Neural Engineering. 2017: 668-671.

[5]Wang K, Wang Z, Zhou P, Qi H, He F, Liu S, Ming D. MEP analysis of hand motor imagery with bimanual coordination under transcranial magnetic stimulation. IEEE 7th International Conference on Awareness Science and Technology. 2015: 111-114.

[6]王坤, 许敏鹏, 徐立超, 陈龙, 明东. 静息态脑电信号Lemple-Ziv复杂度与运动想象响应能力的相关性. 航天医学与医学工程, 2020, 33(4): 283-289.

[7]明东, 王坤, 何峰, 綦宏志, 万柏坤. 想象动作诱发生理信息检测及其应用研究:回顾与展望. 仪器仪表学报, 2014, 35(9): 1921-1931.

[8]张力新,张珊珊,王坤,王仲朋, 明东. 运动相关思维诱发脑电信息解码与应用综述. 仪器仪表学报,2019, 40(01):1-11.

[9]Zhang S, Wang K, Xu M, Wang Z, Chen L, Wang F, Zhang L, Ming D. Analysis and Classification for Single-Trial EEG Induced by Sequential Finger Movements. 41th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019:4541-4544.

[10]Xu R, Wang Y, Wang K, Zhang S, He C, Ming D. Increased corticomuscular coherence and brain activation immediately after short-term neuromuscular electrical stimulation. Frontiers in neurology, 2018, 9: 886.

[11]Yi W, Qiu S, Wang K, Qi H, Zhao X, He F, Zhou P, Yang J, Ming D. Enhancing performance of a motor imagery based brain–computer interface by incorporating electrical stimulation-induced SSSEP[J]. Journal of neural engineering, 2017, 14(2): 026002.

[12]Yi W, Qiu S, Wang K, Qi H, He F, Zhou P, Zhang L, Ming D. EEG oscillatory patterns and classification of sequential compound limb motor imagery. Journal of neuroengineering and rehabilitation, 2016, 13(1): 11.

[13]Yi W, Qiu S, Wang K, Qi H, Zhang L, Zhou P, He F, Ming D. Evaluation of EEG oscillatory patterns and cognitive process during simple and compound limb motor imagery. PloS one, 2014, 9(12): e114853.

[14]Yi W, Zhang L, Wang K, Xiao X, He F, Zhao X, Qi H, Zhou P, Wan B, Ming D. Evaluation and comparison of effective connectivity during simple and compound limb motor imagery. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2014: 4892-4895.

[15]Qiu S, Feng J, Xu R, Xu J, Wang K, He F, Qi H, Zhao X, Zhou P, Zhang L, Ming D. A stimulus artifact removal technique for SEMG signal processing during functional electrical stimulation. IEEE Trans Biomed Eng. 2015, 62(8): 1959-1968.

[16]明东, 顾斌, 蒋晟龙, 刘爽, 王坤, 孟佳圆, 杜金刚, 王春方, 杨佳佳. 运动相关皮质电位在运动康复领域的应用. 纳米技术与精密工程, 2015(6):425-433.


科研项目

已完成项目:

1.2017.1-2019.12,国家自然科学基金, 非眼动型脑-机接口中隐性视觉空间注意的神经学模型与识别方法研究,主要参加者。


获奖情况

社会学术兼职