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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

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

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

A hierarchical semi-supervised extreme learning machine method for EEG recognition
She, Q, Hu, B, Luo, Z, Nguyen, T & Zhang, Y 2018, Medical and Biological Engineering and Computing. https://doi.org/10.1007/s11517-018-1875-3

Characterization of Volume-Based Changes in Cortical Auditory Evoked Potentials and Prepulse Inhibition
Potter, T, Li, S, Nguyen, T, Nguyen, T, Ince, N & Zhang, Y 2017, Scientific Reports, vol. 7, no. 1, 11098. https://doi.org/10.1038/s41598-017-11191-3

Electrical activity of the bladder is attenuated by intravesical inhibition of P2X2/3 receptors during micturition in female rats
Salazar, BH, Hoffman, KA, Zhang, C, Kavanagh, A, Zhang, Y, Boone, TB & Munoz, A 2017, International Neurourology Journal, vol. 21, no. 4, pp. 259-269. https://doi.org/10.5213/inj.1734998.499

Multiband EEG-EMG Bidirectional Coupling Analysis Based on Cortico-Muscular Coherence
Gao, Y, Ren, L, Zhang, Y, She, Q, Ma, Y & Zhang, Q 2017, Chinese Journal of Sensors and Actuators, vol. 30, no. 10, pp. 1465-1471. https://doi.org/10.3969/j.issn.1004-1699.2017.10.002

Enhancing performance of a hybrid EEG-fNIRS system using channel selection and early temporal features
Li, R, Potter, T, Huang, W & Zhang, Y 2017, Frontiers in Human Neuroscience, vol. 11, 462. https://doi.org/10.3389/fnhum.2017.00462

Blood oxygenation changes resulting from subthreshold high frequency repetitive transcranial magnetic stimulation
Li, R, Wang, C, Huang, K, Shi, Z, Wang, J & Zhang, Y 2017, . in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037123, Institute of Electrical and Electronics Engineers Inc. pp. 1513-1516, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037123

Blood oxygenation changes resulting from subthreshold high frequency repetitive transcranial magnetic stimulation
Li, R & Zhang, Y 2017, . in 8th International IEEE EMBS Conference on Neural Engineering, NER 2017., 8008348, Institute of Electrical and Electronics Engineers Inc. pp. 292-295, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. https://doi.org/10.1109/NER.2017.8008348

A simplified hybrid EEG-fNIRS Brain-Computer Interface for motor task classification
Zhu, G, Li, R, Zhang, T, Lou, D, Wang, R & Zhang, Y 2017, . in 8th International IEEE EMBS Conference on Neural Engineering, NER 2017., 8008310, Institute of Electrical and Electronics Engineers Inc. pp. 134-137, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. https://doi.org/10.1109/NER.2017.8008310

Improving the repeatability of Motor Unit Number Index (MUNIX) by introducing additional epochs at low contraction levels
Peng, Y & Zhang, Y 2017, Clinical Neurophysiology, vol. 128, no. 7, pp. 1158-1165. https://doi.org/10.1016/j.clinph.2017.03.044

Imaging three-dimensional innervation zone distribution in muscles from M-wave recordings
Zhang, C, Peng, Y, Liu, Y, Li, S, Zhou, P, Rymer, WZ & Zhang, Y 2017, Journal of Neural Engineering, vol. 14, no. 3, 036011. https://doi.org/10.1088/1741-2552/aa65dd

A new approach for multi-channel surface EMG signal simulation
Ning, Y & Zhang, Y 2017, Biomedical Engineering Letters, vol. 7, no. 1, pp. 45-53. https://doi.org/10.1007/s13534-017-0009-4

Pelvic floor dynamics during high-impact athletic activities: A computational modeling study
Dias, N, Peng, Y, Khavari, R, Nakib, NA, Sweet, RM, Timm, GW, Erdman, AG, Boone, TB & Zhang, Y 2017, Clinical Biomechanics, vol. 41, pp. 20-27. https://doi.org/10.1016/j.clinbiomech.2016.11.003

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