Research

We work with UPMC (University of Pittsburgh Medical Center) to analyze electrical and magnetic signals from human brains. The goal is to help the patient to re-gain a number of physical activities, even if his/her neuron system is partially damaged. For example, a patient can control a computer just by "thinking", instead of using a keyboard/mouse. This project involves various signal processing, machine learning and optimization techniques. In particular, I'm working on the following topics: Sparse Regression for Automatic Channel Selection Classification of High-dimensional Data for MEG Decoding Region-of-Interest-Constrained Discriminant Analysis for Neurorehabilitation Task-related Source Localization

Awards

• Won the 1st place awards in BIOMAG 2010 data analysis competition on multivariate classification at the 17th International Conference on Biomagnetism.

Publications

• J. Zhang, X. Li, W. Wang, S. Foldes, D. Weber and A. Bagic, Imaging task-related source distribution via discriminant analysis in Magnetoencephalography, IEEE Trans. Neural Syst. Rehabil. Eng. (in review).
• J. Zhang, X. Li, S. Foldes, W. Wang, J. Collingr, D. Weber and A. Bagic, Region-of-interest-constrained discriminant analysis for MEG decoding, IEEE Trans. Neural Syst. Rehabil. Eng. (in review).
• J. Zhang, G. Sudre, X. Li, W. Wang, D. Weber and A. Bagic, Clustering linear discriminant analysis for MEG-based brain computer interfaces. IEEE Trans. Neural Syst. Rehabil. Eng., vol. 19, no. 3, pp. 221-231, Jun. 2011.
• J. Zhang, G. Sudre, X. Li, W. Wang, D. Weber and A. Bagic, Task-related MEG source localization via discriminant analysis, In Proc. 33rd Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., pp. 2351-2354, 2011.
• S. Foldes, W. Wang, J. Collinger, X. Li, J. Zhang, G. Sudre, A. Bagic, and D. Weber, Accessing and processing MEG signals in real-time: emerging applications and enabling technologies, In Magnetoencephalography, ISBN 979-953-307-250-9, InTech, 2011.
• J. Zhang, G. Sudre, X. Li, W. Wang, D. Weber, J. Paramesh and G. Fedder, A doubly regularized support vector machine for automatic channel selection of brain computer interface, Proceedings of Society for Neuroscience Annual Meeting, 2008.

Other Publications

• J. Zhang, B. Li and C. Yao, A fast sub-pixel motion estimation algorithm based on the best position calculation, Journal of Computers, vol.28, no.9, 2005.
• W. Li, B. Li and J. Zhang, Design & Implementation of Embedded Video Encoder Based on DSP, In Proceedings of the International Computer Congress 2004 on Wavelet analysis and its applications, and active media Technology, 2004.
• J. Zhang, B. Li, W. Li, A fast sub-pixel motion estimation method, Chinese Invention Patent.