Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 2

no code implementations • 7 Jul 2020 • Yongcheng Li, Po T. Wang, Mukta P. Vaidya, Charles Y. Liu, Marc W. Slutzky, An H. Do

Across all subjects, an average of 83% of electrodes significantly correlated with force was located in the hemicraniectomy areas after applying ERASE.

EEG

Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE) -- A novel ICA-based algorithm for removing myoelectric artifacts from EEG -- Part 1

no code implementations • 6 Jul 2020 • Yongcheng Li, Po T. Wang, Mukta P. Vaidya, Charles Y. Liu, Marc W. Slutzky, An H. Do

Results showed that ERASE successfully removed EMG artifacts (on average, about 75% of EMG artifacts were removed when using real EMGs as reference artifacts) while preserving the expected EEG features related to movement.

EEG

Neural Relation Classification with Text Descriptions

no code implementations • COLING 2018 • Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang

State-of-the-art methods usually concentrate on building deep neural networks based classification models on the training data in which the relations of the labeled entity pairs are given.

Classification General Classification +3

Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

no code implementations • 12 Apr 2016 • Jinxing Li, David Zhang, Yongcheng Li, Jian Wu

has proved that tongue, face and sublingual diagnosis as a noninvasive method is a reasonable way for disease detection.

Multi-modal Classification