Zhilin Zhang
Affiliations: | University of California, San Diego, La Jolla, CA |
Area:
ERP/EEG, Machine Learning,Computational VisionGoogle:
"Zhilin Zhang"Mean distance: 14.89 (cluster 29) | S | N | B | C | P |
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Publications
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| Ye Y, He W, Cheng Y, et al. (2017) A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts. Sensors (Basel, Switzerland). 17 |
| Ye Y, Cheng Y, He W, et al. (2016) Combining Nonlinear Adaptive Filtering and Signal Decomposition for Motion Artifact Removal in Wearable Photoplethysmography Ieee Sensors Journal. 16: 7133-7141 |
| Liu B, Zhang Z. (2016) Quantized Compressive Sensing for Low-Power Data Compression and Wireless Telemonitoring Ieee Sensors Journal. 16: 8206-8213 |
| Zhang Z. (2015) Photoplethysmography-Based Heart Rate Monitoring in Physical Activities via Joint Sparse Spectrum Reconstruction. Ieee Transactions On Bio-Medical Engineering. 62: 1902-10 |
| Zhang Z, Pi Z, Liu B. (2015) 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 |
| Sun B, Zhang Z. (2015) Photoplethysmography-Based Heart Rate Monitoring Using Asymmetric Least Squares Spectrum Subtraction and Bayesian Decision Theory Ieee Sensors Journal. 15: 7161-7168 |
| Zhang Y, Liu B, Zhang Z. (2015) 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 |
| Zhang Z, Jung TP, Makeig S, et al. (2014) 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 |
| Wan J, Zhang Z, Rao BD, et al. (2014) 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 |
| Liu B, Zhang Z, Xu G, et al. (2014) Energy efficient telemonitoring of physiological signals via compressed sensing: A fast algorithm and power consumption evaluation Biomedical Signal Processing and Control. 11: 80-88 |