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Yingchun Zhang, PhD

Assistant Affiliate Member, Research Institute
Houston Methodist


Biography

Dr. Zhang earned his Ph.D. in Electrical Engineering from Zhejiang University, China in 2004. He held a faculty appointment at the University of Minnesota, Minneapolis before joining the faculty of the University of Houston in 2012 and becoming an assistant affiliate member of Houston Methodist Research Institute in 2014. Dr. Zhang is currently an Assistant Professor in the Department of Biomedical Engineering at the University of Houston. He directs a predictive modeling and functional imaging research program focusing on clinical diagnosis technology of urogenital dysfunction and other disorders in the human body through the fusion of functional bioelectrical activity/impedance imaging, electrical stimulation and recording, advanced computational modeling and electrophysiological/biomechanical analysis. Dr. Zhang is a recipient of NIH Pathway to Independence (K99/R00) award, an IEEE senior member and serves as a reviewer for a number of peer-review scientific journals.

Description of Research

Dr. Zhang’s Predictive Modeling and Functional Imaging Lab is interested in advancing clinical diagnosis of dysfunction in the human body through the fusion of functional bioelectrical activity/property imaging, neuromodulation, advanced computational modeling and electrophysiological/biomechanical analysis with applications in investigating the mechanisms of bioelectrical activities and neural pathways in biological systems. His lab is also interested in utilizing developed functional imaging technologies to enhance human-machine-interface systems such as brain-computer-interface systems, brain-controlled devices and myoelectrically-controlled prostheses. The research in his lab involves both technology developments and experimental studies in human subjects and animals.

Areas Of Expertise

Multimodal neural imaging Predictive modeling Incontinence Rehabilitation Prostate cancer early detection
Education & Training

MS, Harbin Institute of Technology
Postdoctoral Fellowship, University of Minnesota
PhD, Zhejiang University
Publications

Innervation zone distribution of the biceps brachii muscle examined using voluntary and electrically-evoked high-density surface EMG
Huang, C, Klein, CS, Meng, Z, Zhang, Y, Li, S & Zhou, P 2019, Journal of NeuroEngineering and Rehabilitation, vol. 16, no. 1, 73. https://doi.org/10.1186/s12984-019-0544-6

Synchronous analysis of brain regions based on multi-scale permutation transfer entropy
Gao, Y, Su, H, Li, R & Zhang, Y 2019, Computers in Biology and Medicine, vol. 109, pp. 272-279. https://doi.org/10.1016/j.compbiomed.2019.04.038

EEG-based brain network analysis in stroke patients during a motor execution task
Zhao, C, Li, R, Wang, C, Huang, W & Zhang, Y 2019, . in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. vol. 2019-March, 8716954, Institute of Electrical and Electronics Engineers Inc. pp. 887-890, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, United States, 3/20/19. https://doi.org/10.1109/NER.2019.8716954

Graph-based Brain Network Analysis in Epilepsy: An EEG Study
Hu, Y, Zhang, Q, Li, R, Potter, T & Zhang, Y 2019, . in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. vol. 2019-March, 8716929, Institute of Electrical and Electronics Engineers Inc. pp. 130-133, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, United States, 3/20/19. https://doi.org/10.1109/NER.2019.8716929

Underlying modulators of frontal global field potentials in emotion regulation: An EEG-informed fMRI study
Fang, F, Houston, M, Walker, S, Nguyen, T, Potter, T & Zhang, Y 2019, . in 9th International IEEE EMBS Conference on Neural Engineering, NER 2019. vol. 2019-March, 8716997, Institute of Electrical and Electronics Engineers Inc. pp. 949-952, 9th International IEEE EMBS Conference on Neural Engineering, NER 2019, San Francisco, United States, 3/20/19. https://doi.org/10.1109/NER.2019.8716997

Three dimensional innervation zone imaging in spastic muscles of stroke survivors
Zhang, C, Chen, YT, Liu, Y, Zhou, P, Li, S & Zhang, Y 2019, Journal of Neural Engineering, vol. 16, no. 3, 034001. https://doi.org/10.1088/1741-2552/ab0fe1

An Image Registration Approach Based on 3D Geometric Projection Similarity of the Human Head
Liu, J, Peng, Y, Chen, H, Potter, T & Zhang, Y 2019, Journal of Medical and Biological Engineering, vol. 39, no. 1, pp. 126-138. https://doi.org/10.1007/s40846-018-0395-9

Denoising high angular resolution diffusion imaging data by combining singular value decomposition and non-local means filter
Wu, Z, Potter, T, Wu, D & Zhang, Y 2019, Journal of Neuroscience Methods, vol. 312, pp. 105-113. https://doi.org/10.1016/j.jneumeth.2018.11.020

Dynamic cortical connectivity alterations associated with Alzheimer's disease: An EEG and fNIRS integration study
Li, R, Nguyen, T, Potter, T & Zhang, Y 2019, NeuroImage: Clinical, vol. 21, 101622. https://doi.org/10.1016/j.nicl.2018.101622

Effects of delivery mode and age on motor unit properties of the external anal sphincter in women
Li, X, Zhang, C, Dias, N, Liu, J, Hu, F, Yang, S, Zhou, Y & Zhang, Y 2019, International Urogynecology Journal. https://doi.org/10.1007/s00192-019-03900-5

A Fuzzy Reasoning Model for Cervical Intraepithelial Neoplasia Classification Using Temporal Grayscale Change and Textures of Cervical Images During Acetic Acid Tests
Liu, J, Peng, Y & Zhang, Y 2019, IEEE Access, vol. 7, 8618462, pp. 13536-13545. https://doi.org/10.1109/ACCESS.2019.2893357

Frequency-dependent anisotropic modeling and analysis using mfEIT: A computer simulation study
Zhang, T, Li, R, Potter, T, Seo, JK, Li, G & Zhang, Y 2018, International Journal for Numerical Methods in Biomedical Engineering, vol. 34, no. 7, e2980. https://doi.org/10.1002/cnm.2980

Concurrent EEG and functional MRI recording and integration analysis for dynamic cortical activity imaging
Nguyen, T, Potter, T, Karmonik, C, Grossman, RG & Zhang, Y 2018, Journal of Visualized Experiments, vol. 2018, no. 136, e56417. https://doi.org/10.3791/56417

Characterization of dynamic changes of current source localization based on spatiotemporal fMRI constrained EEG source imaging
Nguyen, T, Potter, T, Grossman, RG & Zhang, Y 2018, Journal of Neural Engineering, vol. 15, no. 3, 036017. https://doi.org/10.1088/1741-2552/aa9fb2

Synergistic activities of abdominal muscles are required for efficient micturition in anesthetized female mice
Zhang, C, Zhang, Y, Cruz, Y, Boone, TB & Munoz, A 2018, International Neurourology Journal, vol. 22, no. 1, pp. 9-19. https://doi.org/10.5213/inj.1835052.526

Multichannel EEG-EMG coupling analysis using a variable scale symbolic transfer entropy approach
Gao, Y, Ren, L, Zhou, X, Zhang, Q & Zhang, Y 2018, Chinese Journal of Biomedical Engineering, vol. 37, no. 1, pp. 8-16. https://doi.org/10.3969/j.issn.0258-8021.2018.01.002

Intramuscular EMG decomposition basing on motor unit action potentials detection and superposition resolution
Ren, X, Zhang, C, Li, X, Yang, G, Potter, T & Zhang, Y 2018, Frontiers in Neurology, vol. 9, no. JAN, 2. https://doi.org/10.3389/fneur.2018.00002

Electroencephalogram-electromyography coupling analysis in stroke based on symbolic transfer entropy
Gao, Y, Ren, L, Li, R & Zhang, Y 2018, Frontiers in Neurology, vol. 8, no. JAN, 716. https://doi.org/10.3389/fneur.2017.00716

Non-invasive electromyographic estimation of motor unit number in the external anal sphincter of the rat
Zhang, C, Munoz, A, Lai, HH, Boone, T & Zhang, Y 2018, Neurourology and Urodynamics, vol. 37, no. 1, pp. 115-122. https://doi.org/10.1002/nau.23313

Modern Theories of Pelvic Floor Support: A Topical Review of Modern Studies on Structural and Functional Pelvic Floor Support from Medical Imaging, Computational Modeling, and Electromyographic Perspectives
Peng, Y, Miller, BD, Boone, TB & Zhang, Y 2018, Current urology reports, vol. 19, no. 1, 9. https://doi.org/10.1007/s11934-018-0752-9

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