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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 Univ.
Publications

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. DOI: 10.1038/s41598-017-11191-3

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. DOI: 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. DOI: 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, IEEE Computer Society, pp. 292-295, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. DOI: 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, IEEE Computer Society, pp. 134-137, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 10.1016/j.clinbiomech.2016.11.003

Botulinum toxin to treat pelvic pain
Zhang, Y & Smith, CP 2017, Toxicon. DOI: 10.1016/j.toxicon.2017.08.017

Spatial characterization of innervation zones under electrically elicited M-wave
Zhang, C, Peng, Y, Li, S, Zhou, P, Munoz, A, Tang, D & Zhang, Y 2016, . in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7590655, Institute of Electrical and Electronics Engineers Inc. pp. 121-124, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. DOI: 10.1109/EMBC.2016.7590655

Motor unit number estimation based on high-density surface electromyography decomposition
Peng, Y, He, J, Yao, B, Li, S, Zhou, P & Zhang, Y 2016, Clinical Neurophysiology, vol 127, no. 9, pp. 3059-3065. DOI: 10.1016/j.clinph.2016.06.014

Functional mapping of the pelvic floor and sphincter muscles from high-density surface EMG recordings
Peng, Y, He, J, Khavari, R, Boone, TB & Zhang, Y 2016, International Urogynecology Journal and Pelvic Floor Dysfunction, pp. 1-8. DOI: 10.1007/s00192-016-3026-4

Features of patients with inflammatory bowel diseases who develop hemophagocytic lymphohistiocytosis
Li, Y, Li, CF, Zhang, J, Xia, XF, Zhou, LY, Liu, JJ, Song, ZQ, Lv, YM, Wang, AY, Zhang, YP, Liang, CF, Shi, YY, Quigley, EM, Huang, YH & Ding, SG 2016, International Journal of Colorectal Disease. DOI: 10.1007/s00384-015-2485-2

Scale-dependent signal identification in low-dimensional subspace: Motor imagery task classification
She, Q, Gan, H, Ma, Y, Luo, Z, Potter, T & Zhang, Y 2016, Neural Plasticity, vol 2016, 7431012. DOI: 10.1155/2016/7431012

EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes
Nguyen, T, Potter, T, Nguyen, T, Karmonik, C, Grossman, R & Zhang, Y 2016, Neural Plasticity, vol 2016, 4182483. DOI: 10.1155/2016/4182483

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
Ma, Y, Ding, X, She, Q, Luo, Z, Potter, T & Zhang, Y 2016, Computational and Mathematical Methods in Medicine, vol 2016, 4941235. DOI: 10.1155/2016/4941235

High Fidelity Tape Transfer Printing Based On Chemically Induced Adhesive Strength Modulation
Sim, K, Chen, S, Li, Y, Kammoun, M, Peng, Y, Xu, M, Gao, Y, Song, J, Zhang, Y, Ardebili, H & Yu, C 2015, Scientific Reports, vol 5, 16133. DOI: 10.1038/srep16133

Three-dimensional innervation zone imaging from multi-channel surface EMG recordings
Liu, Y, Ning, Y, Li, S, Zhou, P, Rymer, WZ & Zhang, Y 2015, International Journal of Neural Systems, vol 25, no. 6, 1550024. DOI: 10.1142/S0129065715500240

The single-incision sling to treat female stress urinary incontinence: A dynamic computational study of outcomes and risk factors
Peng, Y, Khavari, R, Nakib, NA, Stewart, JN, Boone, TB & Zhang, Y 2015, Journal of Biomechanical Engineering, vol 137, no. 9, 91007. DOI: 10.1115/1.4030978