| EEG signals analysis using multiscale entropy for depth of anesthesia monitoring during surgery through artificial neural networks Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Computational and mathematical methods in medicine 2015, 2015 | 66 | 2015 |
| A new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain–computer interface YF Chen, K Atal, SQ Xie, Q Liu Journal of neural engineering 14 (4), 046028, 2017 | 39 | 2017 |
| Quasi-periodicities detection using phase-rectified signal averaging in EEG signals as a depth of anesthesia monitor Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2017 | 32 | 2017 |
| EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Medical & biological engineering & computing 55, 1435-1450, 2017 | 25 | 2017 |
| A comparison of five different algorithms for EEG signal analysis in artifacts rejection for monitoring depth of anesthesia Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Biomedical Signal Processing and Control 25, 24-34, 2016 | 25 | 2016 |
| Improved spectrum analysis in EEG for measure of depth of anesthesia based on phase-rectified signal averaging Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Physiological measurement 38 (2), 116, 2016 | 19 | 2016 |
| Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG R Fu, YF Chen, Y Huang, S Chen, F Duan, J Li, J Wu, D Jiang, J Gao, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1384-1400, 2022 | 15 | 2022 |
| Continuous Bimanual Trajectory Decoding of Coordinated Movement From EEG Signals YF Chen, R Fu, J Wu, J Song, R Ma, YC Jiang, M Zhang IEEE Journal of Biomedical and Health Informatics 26 (12), 6012-6023, 2022 | 10 | 2022 |
| Decoding Coordinated Directions of Bimanual Movements from EEG Signals M Zhang, J Wu, J Song, R Fu, R Ma, Y Jiang, YF Chen IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 | 9 | 2022 |
| Electroencephalogram variability analysis for monitoring depth of anesthesia YF Chen, SZ Fan, MF Abbod, JS Shieh, M Zhang Journal of Neural Engineering 18 (6), 066015, 2021 | 9 | 2021 |
| Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia YF Chen, SZ Fan, MF Abbod, JS Shieh, M Zhang IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022 | 7 | 2022 |
| A New Compound-limbs Paradigm: Integrating upper-limb swing improves lower-limb stepping intention decoding from EEG R Ma, YF Chen, YC Jiang, M Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 4 | 2023 |
| Analyzing heart rate variability using a photoplethysmographic signal measuring system YF Chen, JS Shieh, SZ Fan, WT Chiang, MF Abbod, Q Liu 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded …, 2016 | 1 | 2016 |
| A Comparison of Different Algorithms for EEG Signal Analysis for the Purpose of Monitoring Depth of Anesthesia Q Liu, YF Chen, SZ Fan, MF Abbod, JS Shieh Elsevier Ltd, 2016 | | 2016 |
Mingming ZhangSouthern University of Science and Technology, The University of AucklandVerified email at sustech.edu.cn
