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Publications
Journal Papers
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A. Liu, Xun Chen*, M. J. Mckeown, Z. J.
Wang, "A Sticky Weighted Regression Model for Time-Varying Resting
State Brain Connectivity Estimation,"
IEEE Transactions on
Biomedical Engineering, in press, 2014.
[PDF]
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C. He, Xun Chen*, Z. J.
Wang, "Performance of General STCs over Spatially Correlated MIMO
Single-keyhole Channels," IEEE Transactions on Vehicular
Technology, in press, 2014.
[PDF]
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Xun Chen, A. Liu, H. Peng,
R. Ward, "A Preliminary Study of Muscular Artifact Cancellation
in Single-Channel EEG," Sensors, in press, 2014. [PDF]
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Xun Chen, A. Liu, H.
Poizner, M. J. Mckeown, Z. J. Wang, "An EEMD-IVA Framework for
Concurrent Multidimensional EEG and Unidimensional Kinematic Data
Analysis,"
IEEE Transactions on
Biomedical Engineering, vol. 61, no. 7, pp. 2187-2198, 2014.
[PDF]
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Xun Chen, Z. J. Wang, M. J.
Mckeown, "A Three-step Method for Corticomuscular Activity Modeling
with Application to Parkinson's Disease," IEEE Journal of
Biomedical and Health Informatics, vol. 18, no. 4, pp. 1232-1241, 2014.
[PDF]
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X. Li, Xun Chen*, Y.
Yan, W. Wei, Z. J. Wang,
"Classification of EEG Signals Using a Multiple Kernel Learning
Support Vector Machine," Sensors, vol. 14, no. 7, pp.
12784-12802, 2014. [PDF]
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Xun Chen, C.
He, H. Peng, "Removal of Muscle Artifacts from Single-Channel EEG
Based on Ensemble Empirical Mode Decomposition and Multiset
Canonical Correlation Analysis," Journal of Applied Mathematics,
vol. 2014, Article ID 261347, 10 pages, June
2014. [PDF]
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Xun Chen, X. Chen, R. K. Ward, Z. J. Wang,
"A Joint Multimodal Group Analysis Framework for Modeling
Corticomuscular Activity," IEEE Transactions on Multimedia, vol.
15, no. 5, pp. 1049-1059, 2013. [PDF]
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Xun Chen, C. He, Z. J. Wang, M.
J. Mckeown,
"An IC-PLS Framework for Corticomuscular Coupling Analysis,"
IEEE Transactions on
Biomedical Engineering, vol. 60, no. 7, pp. 2022-2033, 2013. [PDF]
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Xun Chen, A. Liu, Z. J.Wang, H. Peng, "Corticomuscular Activity Modeling by Combining
Partial Least Squares and Canonical Correlation Analysis," Journal of Applied Mathematics, vol. 2013, Article ID 401976, 11
pages, May 2013. doi:10.1155/2013/401976.
(Invited) [PDF]
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Xun Chen, Z. J. Wang, "Pattern
Recognition of Number Gestures Based on A Wireless Surface EMG System,"
Biomedical Signal Processing
& Control, vol. 8, no. 2, pp. 184¨C192, March 2013. [PDF]
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C. He, Xun Chen, Z. J. Wang, W. Su,
"On the Performance of MIMO RFID Backscattering Channels," EURASIP
Journal on Wireless Communications and
Networking, vol. 2012, no. 1, pp. 1-15, 2012. [PDF]
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Conference Papers
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Liang Zou, Xun Chen, Amir
Servati, Peyman Servati, Martin J. McKeown, "A Heart Beat Rate
Detection Framework Using Multiple Nanofiber Sensor Signals,"
IEEE ChinaSIP 2014, Xi'an, China, accepted.
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A. Liu, Xun Chen, Z. J. Wang, M.
J. McKeown, "Time varying brain connectivity modeling using fMRI
signals," IEEE 39th International Conference on Acoustics,
Speech, and Signal Processing (ICASSP), Florence, Italy, 2014,
accepted.
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Xun Chen, Z. Jane Wang, Martin
J. McKeown, Howard Poizner, "A Multimodal Framework for Joint
Kinematic and EEG Data Analysis during a Haptic Reaching Task in
Parkinson¡¯s Disease," IEEE 6th International EMBS Conference on
Neural Engineering, San Diego, USA, Nov. 2013.
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Xun Chen, Z. Jane Wang, Martin
J. McKeown, Howard Poizner, "Joint kinematic and EEG features of a
haptic reaching taskincorporating online perturbation," 2013 43rd
annual meeting of the Society for Neuroscience, San Diego, USA,
Nov. 2013.
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Xun Chen, Z. Jane Wang and Martin Mckeown,
"A Tridirectional Statistical Model for Group Corticomuscular Activity
Analysis," Multimedia Signal Processing (MMSP), 2012 IEEE 14th
International Workshop on, pp. 309-312, Banff, Canada, Sep. 2012.
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Xiaoou Li, Feng Wang, Xun Chen, and Rabab K Ward,
"A P300-based BCI Classification Algorithm Using Median Filtering and
Bayesian Feature Extraction," Multimedia Signal Processing
(MMSP), 2012 IEEE 14th International Workshop on, pp. 305-308, Banff, Canada, Sep. 2012.
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Xun Chen and Z. Jane Wang, "Design
and Implementation of a Wearable, Wireless EEG Recording System,"
in Proceedings of iCBBE
2011, pp. 1-4, Wuhan, China, May 2011.
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Xun Chen and Z. Jane Wang, "Reliable
Indoor Location Sensing Technique Using Active RFID," in Proceedings of ICIMA 2010, pp.
160-163, Wuhan, China, May 2010.
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Projects
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1. From Sep 2012 to present,
Project: Deep Learning for Sign Language Recognition
I will learn the theory of deep learning and apply it to sign language
recognition field.
2. From Jan. 2012 to Aug. 2012, Project: Corticomuscular
Coupling Analysis in Parkinson¡¯s Disease
In this project, I am mainly responsible for developing information
fusion algorithms to extract the common source signals (latent
variables) from EEG and EMG data sets collected from normal subjects and
patients with Parkinson¡¯s Disease. I have developed two effective
algorithms: a multidirectional multi-set statistical method and a IC-PLS
model. They dig out very useful and meaningful spatial patterns from the
subjects.
3. From May 2010 to Dec. 2011, Project: Enabling technologies
for reliable wireless body area sensor networks
In this project, I am trying to implement a secure and reliable portable
wireless EEG and EMG system. Now, I have realized a wireless portable
real-time EMG pattern recognition system used for recognizing hand
gestures for numbers and a wireless portable EEG band. The implemented
part includes data acquisition circuits, controlling zigbee wireless
module and graph user interface based on Java. The off-line EMG
classification accuracy for number gestures has achieved 95% and the
on-line case has achieved 92%. Some useful applications will be explored
further.
4. From Sep. 2009 to April 2010, Project: RFID-based sensor
networks for detecting and tracking mobile targets
In this project, I read many research papers related on RFID-based
indoor localization and became familiar with most of the localization
methods. Through extensive reading and deeply thinking, I proposed a
more efficient location algorithm based on Mahalanobis distance which
was published as a conference paper. Then, I found that methods based on
Gaussian processes can achieve higher location precision through
extensive simulation.
5. From May 2008 to July 2009, Project: Long-distance Wireless
Electrocardiogram Monitoring System
In this project, I have played an important role because I am
responsible for ECG preprocessing, realizing the signal processing
algorithm and improving the available ones. I have successfully
fulfilled by methods in time-domain and wavelet-domain respectively,
realized the normal algorithm by MatLab and C and made some effective
improvements about some specifics. By my outstanding performance, I
earned ¡°Outstanding Bachelor Thesis¡±.
6. From June, 2008 to October, 2008, the coach of 23 teams in
2008 RoboGame held in USTC
In this mission, as the coach, I have successfully directed them to
design several kinds of two legged walking robots. They could walk
smoothly, dance neatly, fight adversary effectively by remote-controlled
operation and stand up within two seconds when knocked down. Depending
on our stable technique and optimum algorithm,, we have earned almost
all awards in the game. Rewarding to my outstanding leadership, I was
bestowed "Best Coach".
7. From May 2007 to Oct 2007, Designing Two Robots for
2007RoboGame Held in USTC
I was the captain of a team including four other students. We have
designed a perfect robot, who could realize all requirements smoothly
and defeated all rivals readily, earning Champion of 2007RoboGame. In
the five months, we designed several useful circuit boards to control
all behaviors of the robot, process and analyze return signal, drive
motors, recognise different colors and convert a concrete voltage to
another. We also learned how to use electronic compass (geomagnetic
field) to help the robot recognise directions and enhance efficiency.
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