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Xiaopeng Ji
Yan Li
Peng Wen

Showing results (1-10 of 26,668) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 28, 2023
3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep LearningXiaopeng Ji, Yan Li, Peng Wen
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 18, 2022
Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage ClassificationXiaopeng Ji, Yan Li, Peng Wen
Brain Informatics|February 10, 2024
An automatic method using MFCC features for sleep stage classificationWei Pei, Yan Li, Peng Wen, et al.
Computer Methods and Programs in Biomedicine|January 13, 2024
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification ModelXiaopeng Ji, Yan Li, Peng Wen, et al.
International Journal of Bioinformatics Research and Applications|March 8, 2013
Identification of motor imagery tasks through CC-LR algorithm in brain computer interfaceSiuly, Yan Li, Peng Wen
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 22, 2016
EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph SimilarityMohammed Diykh, Yan Li, Peng Wen
Neuroscience|November 5, 2019
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification ModelWessam Al-Salman, Yan Li, Peng Wen
Australasian Physical & Engineering Sciences in Medicine|November 22, 2014
Real-time depth of anaesthesia assessment using strong analytical signal transform techniqueMario Elvis Palendeng, Peng Wen, Yan Li
IEEE Transactions on Bio-Medical Engineering|July 3, 2010
An improved detrended moving-average method for monitoring the depth of anesthesiaT Nguyen-Ky, Peng Wen, Yan Li
Neuroscience Research|May 9, 2021
Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifierWessam Al-Salman, Yan Li, Peng Wen
Pageof 2,667

Showing results (1-10 of 26,668) with videos related to

Sort By:
Pageof 2,667
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 28, 2023
3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep LearningXiaopeng Ji, Yan Li, Peng Wen
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 18, 2022
Jumping Knowledge Based Spatial-Temporal Graph Convolutional Networks for Automatic Sleep Stage ClassificationXiaopeng Ji, Yan Li, Peng Wen
Brain Informatics|February 10, 2024
An automatic method using MFCC features for sleep stage classificationWei Pei, Yan Li, Peng Wen, et al.
Computer Methods and Programs in Biomedicine|January 13, 2024
MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification ModelXiaopeng Ji, Yan Li, Peng Wen, et al.
International Journal of Bioinformatics Research and Applications|March 8, 2013
Identification of motor imagery tasks through CC-LR algorithm in brain computer interfaceSiuly, Yan Li, Peng Wen
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 22, 2016
EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph SimilarityMohammed Diykh, Yan Li, Peng Wen
Neuroscience|November 5, 2019
K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification ModelWessam Al-Salman, Yan Li, Peng Wen
Australasian Physical & Engineering Sciences in Medicine|November 22, 2014
Real-time depth of anaesthesia assessment using strong analytical signal transform techniqueMario Elvis Palendeng, Peng Wen, Yan Li
IEEE Transactions on Bio-Medical Engineering|July 3, 2010
An improved detrended moving-average method for monitoring the depth of anesthesiaT Nguyen-Ky, Peng Wen, Yan Li
Neuroscience Research|May 9, 2021
Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifierWessam Al-Salman, Yan Li, Peng Wen
Pageof 2,667