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Zhilin Zhang - Publications

Affiliations: 
University of California, San Diego, La Jolla, CA 
Area:
ERP/EEG, Machine Learning,Computational Vision
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22 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2017 Ye Y, He W, Cheng Y, Huang W, Zhang Z. A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts. Sensors (Basel, Switzerland). 17. PMID 28212327 DOI: 10.3390/s17020385  0.433
2016 Ye Y, Cheng Y, He W, Hou M, Zhang Z. Combining Nonlinear Adaptive Filtering and Signal Decomposition for Motion Artifact Removal in Wearable Photoplethysmography Ieee Sensors Journal. 16: 7133-7141. DOI: 10.1109/JSEN.2016.2597265  0.358
2016 Liu B, Zhang Z. Quantized Compressive Sensing for Low-Power Data Compression and Wireless Telemonitoring Ieee Sensors Journal. 16: 8206-8213. DOI: 10.1109/Jsen.2016.2550602  0.47
2015 Zhang Z. Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction. Ieee Transactions On Bio-Medical Engineering. 62: 1902-10. PMID 26186747 DOI: 10.1109/TBME.2015.2406332  0.412
2015 Zhang Z, Pi Z, Liu B. TROIKA: a general framework for heart rate monitoring using wrist-type photoplethysmographic signals during intensive physical exercise. Ieee Transactions On Bio-Medical Engineering. 62: 522-31. PMID 25252274 DOI: 10.1109/TBME.2014.2359372  0.383
2015 Sun B, Zhang Z. Photoplethysmography-Based Heart Rate Monitoring Using Asymmetric Least Squares Spectrum Subtraction and Bayesian Decision Theory Ieee Sensors Journal. 15: 7161-7168. DOI: 10.1109/JSEN.2015.2473697  0.468
2015 Zhang Y, Liu B, Zhang Z. Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography Biomedical Signal Processing and Control. 21: 119-125. DOI: 10.1016/j.bspc.2015.05.006  0.457
2014 Zhang Z, Jung TP, Makeig S, Pi Z, Rao BD. Spatiotemporal sparse Bayesian learning with applications to compressed sensing of multichannel physiological signals. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 22: 1186-97. PMID 24801887 DOI: 10.1109/Tnsre.2014.2319334  0.604
2014 Wan J, Zhang Z, Rao BD, Fang S, Yan J, Saykin AJ, Shen L. Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation- and nonlinearity-aware sparse Bayesian learning. Ieee Transactions On Medical Imaging. 33: 1475-87. PMID 24710828 DOI: 10.1109/Tmi.2014.2314712  0.355
2014 Liu B, Zhang Z, Xu G, Fan H, Fu Q. Energy efficient telemonitoring of physiological signals via compressed sensing: A fast algorithm and power consumption evaluation Biomedical Signal Processing and Control. 11: 80-88. DOI: 10.1016/j.bspc.2014.02.010  0.506
2013 Zhang Z, Jung TP, Makeig S, Rao BD. Compressed sensing for energy-efficient wireless telemonitoring of noninvasive fetal ECG via block sparse Bayesian learning. Ieee Transactions On Bio-Medical Engineering. 60: 300-9. PMID 23144028 DOI: 10.1109/Tbme.2012.2226175  0.568
2013 Zhang Z, Jung TP, Makeig S, Rao BD. Compressed sensing of EEG for wireless telemonitoring with low energy consumption and inexpensive hardware. Ieee Transactions On Bio-Medical Engineering. 60: 221-4. PMID 22968206 DOI: 10.1109/Tbme.2012.2217959  0.552
2013 Zhang Z, Rao BD. Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation Ieee Transactions On Signal Processing. 61: 2009-2015. DOI: 10.1109/TSP.2013.2241055  0.457
2013 Zhang Z, Rao BD, Jung TP. Compressed sensing for energy-efficient wireless telemonitoring: Challenges and opportunities Conference Record - Asilomar Conference On Signals, Systems and Computers. 80-85. DOI: 10.1109/ACSSC.2013.6810234  0.404
2012 Makeig S, Kothe C, Mullen T, Bigdely-Shamlo N, Zhang Z, Kreutz-Delgado K. Evolving signal processing for brain-computer interfaces Proceedings of the Ieee. 100: 1567-1584. DOI: 10.1109/JPROC.2012.2185009  0.436
2011 Zhang Z, Rao BD. Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning Ieee Journal of Selected Topics in Signal Processing. 5: 912-926. DOI: 10.1109/JSTSP.2011.2159773  0.437
2008 Ye Y, Zhang Z, Chen J. A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 91: 916-920. DOI: 10.1093/Ietfec/E91-A.3.916  0.467
2008 Zhang Z. Morphologically constrained ICA for extracting weak temporally correlated signals Neurocomputing. 71: 1669-1679. DOI: 10.1016/J.Neucom.2007.04.004  0.489
2008 Ye Y, Zhang Z, Zeng J, Peng L. A fast and adaptive ICA algorithm with its application to fetal electrocardiogram extraction Applied Mathematics and Computation. 205: 799-806. DOI: 10.1016/J.Amc.2008.05.117  0.484
2006 Zhang Z, Yi Z. Letters: Robust extraction of specific signals with temporal structure Neurocomputing. 69: 888-893. DOI: 10.1016/J.Neucom.2005.09.008  0.445
2006 Zhang Z, Yi Z. Letters: Extraction of temporally correlated sources with its application to non-invasive fetal electrocardiogram extraction Neurocomputing. 69: 894-899. DOI: 10.1016/J.Neucom.2005.08.004  0.376
2006 Zhang Z, Yi Z. Letters: Extraction of a source signal whose kurtosis value lies in a specific range Neurocomputing. 69: 900-904. DOI: 10.1016/J.Neucom.2005.07.002  0.463
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