主要论文论著： [1] Li M, Chen W, Xia M. GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection. Biomedical Signal Processing and Control, 2023, 80:104274. SCI 第一作者 [2] Li M, Chen W. FFT-based deep feature learning method for EEG classification. Biomedical Signal Processing and Control, 2021, 66:102492. SCI 第一作者 [3] Li M, Sun X, Chen W. Patient-specific seizure detection method using nonlinear mode decomposition for long-term EEG signals. Medical and Biological Engineering and Computing, 2020, 58:3075-3088. SCI 第一作者 [4] Li M , Chen W , Zhang T . FuzzyEn-based features in FrFT-WPT domain for epileptic seizure detection. Neural Computing and Applications, 2019, 31(12):9335-9348. SCI 第一作者 [5] Li M, Chen W, Zhang T. A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine. Biomedical Signal Processing and Control, 2018, 41:233-241. SCI 第一作者 [6] Li M, Chen W, Zhang T. Automatic epileptic EEG detection using DT-CWT-based non-linear features. Biomedical Signal Processing and Control, 2017, 34:114-125. SCI 第一作者 [7] Li M, Chen W, Zhang T. Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble. Biomedical Signal Processing and Control, 2017, 31:357-365. SCI 第一作者 [8] Li M, Chen W, Zhang T. Application of MODWT and log-normal distribution model for automatic epilepsy identification. Biocybernetics and Biomedical Engineering, 2017, 37(4):679-689. SCI 第一作者 [9] Li M, Chen W, Zhang T. Automatic epilepsy detection using wavelet-based nonlinear analysis and optimized SVM. Biocybernetics and Biomedical Engineering, 2016, 36(4):708-718. SCI 第一作者 [10] 发明专利：一种基于意念控制的智能假肢运动系统及其控制算法，2016104646623 |
