天津大学教师个人主页系统孟琳首页中文主页

学术成果

论文成果

[1]ZJ Xue, D Ming, C Zhang, L Meng, BK W, SJ Jin, “Precision Extraction of Gait Feature and Identity Authentication”, Nanotechnology and Precision Engineering, 2009 July, 7(4), 319-323.
[2]G Sabata, C Macleod, E B Esteban-Herreros, L Meng, M C Tejada. Motor Control and Emerging Therapies for Improving Mobility in Patients with Spasticity. In Emerging Therapies in Neurorehabilitation, pp 147-169. Springer Berlin Heidelberg, 2014.
[3]C A Macleod, L Meng, B A Conway, and B Porr. Reflex control of robotic gait using human walking data. PloS ONE, 9(10): e109959, 2014.
[4]L Meng*, C A Macleod, B Porr, H Gollee. A novel multichannel functional electrical stimulation (FES) walking system based on bio-inspired reflexive robotic control. Proceddings of the iMeche, Part H: Journal of Engineering in Medicine, 2017, 23(4), 315-325.
[5]L Meng*, B Porr, and H Gollee. Technical developments of functional electrical stimulation to restore gait functions: sensing, control strategies and current commercial systems. Chinese Journal of Scientific Instrument, 2017(6), 1319-1334.
[6]L Meng*, C A Macleod, B Porr, and H Gollee. Bipedal robotic walking control derived from analysis of human locomotion. Biological Cybernetics, 2018(2), 1-14.
[7]S Jiang, H Qi,, J Zhang, S Zhang, R Xu, Y Liu, L Meng, D Ming. A Pilot Study on Falling-Risk Detection Method Based on Postural Perturbation Evoked Potential Features. Sensors 2019(19), 5554.
[8]L Millar, L Meng, P Rowe. Routine clinical motion analysis: comparison of a bespoke real-time protocol to current clinical methods. Computer Methods in Biomechanics and Biomedical Engineering, 2019, 22(2), 149-158.
[9]L Meng*, C Childs, A Buis. Evaluation of functional methods of joint centre determination for quasi-planar movement. PLOS ONE. 2019, 14(1), e0210807.
[10]L Meng*, U M Hernandez, C R Childs, A A. Dehghani-Sanij, A Buis. A Practical Gait Feedback Method Based on Wearable Inertial Sensors for a Drop Foot Assistance Device. IEEE Sensors Journal, 19(24), 12235-12243.
[11]L Meng*, L Millar, C Childs, A Buis. A strathclyde cluster model for gait kinematic measurement using functional methods: a study of inter-assessor reliability analysis with comparison to anatomical models. Computer Methods in Biomechanics and Biomedical Engineering, 2020.

专利成果

[1]基于多角度人体热释电信息探测的身份识别方法

奖励与荣誉

运动康复

The Motor Rehabilitation Lab pursues a systematically understanding of the mechanism of human movement, exploring novel rehabilitation approaches, and examining interactive effects of treatment, with neuromuscular electrical stimulation, bionic design, assistive robots, and computer simulations. Our researches focus on the investigation of the human sensorimotor control mechanicsm, functional movement restoration and musculoskeletal tissue mechanism. The lab provides a wide range of equipments and techniques for human motion analysis, electrophysiological analysis, rehabilitation robot design and finite-element modelling.

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孟琳

教育经历

· 2004.9 - 2008.7

· 2008.9 - 2010.7

· 2011.9 - 2016.6

工作经历

· 2010.9 - 2011.5

· 2016.7 - 2018.7

研究方向

个人简介

学术成果

论文成果

专利成果

奖励与荣誉

团队

运动康复