讲师/助理研究员

张鑫

职称:讲师

邮箱:Xin_zhang_bme@tju.edu.cn

电话:022-83612122

地址:天津大学医工院2号楼105室

个人简介

张鑫,山东省淄博沂源县人,博士,讲师,硕士生导师。主要研究方向为基于动作想象的脑机接口,脑电信号解析及其应用,机器学习,生物电信号采集、处理 。

 

教育背景

2013.9-2019.11 西蒙弗雷泽大学,博士

2010.9-2013.7 东南大学,硕士

2005.9-2009.7 山东大学,学士

 

工作经历

2020.04-今,天津大学精仪学院,讲师

 

主要研究方向

基于动作想象的脑机接口,脑电信号解析及其应用,机器学习,生物电信号采集、处理

 

代表性学术成果

论文:

  1. A. Orand, E. Erdal Aksoy, H. Miyasaka, C. Weeks Levy, X. Zhang, and C. Menon, “Bilateral Tactile Feedback-Enabled Training for Stroke Survivors Using Microsoft KinectTM,” Sensors, 2019.

  2. X. Zhang, R. D’Arcy, and C. Menon, “Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study,” Journal of Neural Engineering, 2019, 16(3). DOI:10.1088/1741-2552/ab0b82.

  3. E. Kuatsjah, X. Zhang, M. Khoshnam, and C. Menon, “Two-channel in-ear EEG system for detection of visuomotor tracking state: A preliminary study,” Med. Eng. Phys., 2019.

  4. X. Zhang, A. M. Elnady, B. K. Randhawa, L. A. Boyd, and C. Menon, “Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study,” Front. Hum. Neurosci., vol. 12, 2018.

  5. M. Khoshnam, D. M. C. Häner, E. Kuatsjah, X. Zhang, and C. Menon, “Effects of galvanic vestibular stimulation on upper and lower extremities motor symptoms in parkinson’s disease,” Front. Neurosci., 2018.

  6. X. Zhang, X. Yong, and C. Menon, “Evaluating the versatility of EEG models generated from motor imagery tasks: An exploratory investigation on upper-limb elbow-centered motor imagery tasks,” PLoS One, vol. 12, no. 11, 2017.

  7. M. Tavakolan, X. Yong, X. Zhang, and C. Menon, “Classification scheme for arm motor imagery,” J. Med. Biol. Eng., vol. 36, no. 1, pp. 12–21, 2016.

  8. A. M. Elnady, X. Zhang et al., “A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform.,” Front. Hum. Neurosci., vol. 9, no. March, p. 168, 2015.


已提交期刊论文:

  1. X. Zhang, R. D’Arcy, and C. Menon, “A preliminary investigation on the longitudinal performance of using EEG to assess upper-extremity motor function” Sensors, 2020.


专利:

  1. Zhang, X,DARCY, R. C. N., MENON, C., FREHLICK, Z., & TANNOURI, P. (2019). Method for automatically generating motor control score for chronic stroke subject, involves determining frequency components from electroencephalography data, and calculating motor control score based on frequency components (Patent No. WO2019222833-A1). World Intellectual Property Organization.

 

科研项目

已完成项目:

  1. 2016.9-2019.11, Canadian Institute of Health Research, A Wearable Assistive Device for Improving Quality of Life, 主要参与人

  2. 2014.11-2018.11,Natural Sciences and Engineering Research Council of Canada,Equipment to develop technology for brain injury prevention, study and recovery, 主要参与人;

  3. 2013.9-2016.9, Canada Research Chair, Superior Rehabilitation Technologies for Improved Quality of Life, 主要参加人.


在研项目:

  1. 2020.8-至今,天津大学医工结合基金,联合能谱CTA与高分辨MR对颈动脉狭窄风险的人工智能预测研究,天津大学方负责人

 

获奖情况

  1. Senate Graduate Awards Adjudication Committee,Provost International Fellowship, 2013年9月至2017年8月

 

社会学术兼职