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 |
