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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

Improve computational efficiency and estimation accuracy of multi-channel surface EMG decomposition via dimensionality reduction
Ning, Y, Dias, N, Li, X, Jie, J, Li, J & Zhang, Y 2019, Computers in Biology and Medicine, vol. 112, 103372. https://doi.org/10.1016/j.compbiomed.2019.103372

Construction of brain structural connectivity network using a novel integrated algorithm based on ensemble average propagator
Wu, Z, Peng, Y, Xu, D, Hong, M & Zhang, Y 2019, Computers in Biology and Medicine, vol. 112, 103384. https://doi.org/10.1016/j.compbiomed.2019.103384

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

Cortical hemodynamic response and connectivity modulated by sub-threshold high-frequency repetitive transcranial magnetic stimulation
Li, R, Potter, T, Wang, J, Shi, Z, Wang, C, Yang, L, Chan, R & Zhang, Y 2019, Frontiers in Human Neuroscience, vol. 13, 90. https://doi.org/10.3389/fnhum.2019.00090

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

Neural control properties of the external anal sphincter in young and elderly women
Dias, N, Zhang, C, Li, X, Neshatian, L, Orejuela, FJ & Zhang, Y 2019, Neurourology and Urodynamics, vol. 38, no. 7, pp. 1828-1833. https://doi.org/10.1002/nau.24108

Driving fatigue detection from EEG using a modified PCANet method
Ma, Y, Chen, B, Li, R, Wang, C, Wang, J, She, Q, Luo, Z, Zhang, Y & Ahn, S 2019, Computational Intelligence and Neuroscience, vol. 2019, 4721863. https://doi.org/10.1155/2019/4721863

Better resource utilization and quality of care for cervical cancer screening in low-resourced districts using an internet-based expert system
Liu, J, Peng, Y, Li, L, Chen, Z & Zhang, Y 2019, Technology and Health Care, vol. 27, no. 3, pp. 289-299. https://doi.org/10.3233/THC-181577

Effects of brain parcellation on the characterization of topological deterioration in Alzheimer's disease
Alzheimers Disease Neuroimaging Initiative 2019, Frontiers in Aging Neuroscience, vol. 11, no. MAY, 113. https://doi.org/10.3389/fnagi.2019.00113

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

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