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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