125 related articles for article (PubMed ID: 38728828)
61. An ensemble deep-learning approach for single-trial EEG classification of vibration intensity.
Alsuradi H; Park W; Eid M
J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37732958
[No Abstract] [Full Text] [Related]
62. 3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition.
Liu S; Wang X; Zhao L; Li B; Hu W; Yu J; Zhang YD
IEEE J Biomed Health Inform; 2022 Nov; 26(11):5321-5331. PubMed ID: 34033551
[TBL] [Abstract][Full Text] [Related]
63. Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning.
Xu J; Zheng H; Wang J; Li D; Fang X
Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32575798
[TBL] [Abstract][Full Text] [Related]
64. A gradient-based automatic optimization CNN framework for EEG state recognition.
Wang H; Zhu X; Chen P; Yang Y; Ma C; Gao Z
J Neural Eng; 2022 Jan; 19(1):. PubMed ID: 34883472
[No Abstract] [Full Text] [Related]
65. ETCNet: An EEG-based motor imagery classification model combining efficient channel attention and temporal convolutional network.
Qin Y; Li B; Wang W; Shi X; Wang H; Wang X
Brain Res; 2024 Jan; 1823():148673. PubMed ID: 37956749
[TBL] [Abstract][Full Text] [Related]
66. Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition.
Xing M; Hu S; Wei B; Lv Z
J Neurosci Methods; 2022 Jul; 376():109624. PubMed ID: 35588948
[TBL] [Abstract][Full Text] [Related]
67. A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.
Phang CR; Noman F; Hussain H; Ting CM; Ombao H
IEEE J Biomed Health Inform; 2020 May; 24(5):1333-1343. PubMed ID: 31536026
[TBL] [Abstract][Full Text] [Related]
68. Space-CNN: a decision classification method based on EEG signals from different brain regions.
Xue H; Yang J; Zhang W; Yang B
Med Biol Eng Comput; 2024 Feb; 62(2):591-603. PubMed ID: 37953335
[TBL] [Abstract][Full Text] [Related]
69. DTP-Net: Learning to Reconstruct EEG Signals in Time-Frequency Domain by Multi-Scale Feature Reuse.
Pei Y; Xu J; Chen Q; Wang C; Yu F; Zhang L; Luo W
IEEE J Biomed Health Inform; 2024 May; 28(5):2662-2673. PubMed ID: 38277252
[TBL] [Abstract][Full Text] [Related]
70. Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification.
Chunduri V; Aoudni Y; Khan S; Aziz A; Rizwan A; Deb N; Keshta I; Soni M
J Neurosci Methods; 2024 Jun; 406():110128. PubMed ID: 38554787
[TBL] [Abstract][Full Text] [Related]
71. Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification.
Emsawas T; Morita T; Kimura T; Fukui KI; Numao M
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365948
[TBL] [Abstract][Full Text] [Related]
72. CDBA: a novel multi-branch feature fusion model for EEG-based emotion recognition.
Huang Z; Ma Y; Su J; Shi H; Jia S; Yuan B; Li W; Geng J; Yang T
Front Physiol; 2023; 14():1200656. PubMed ID: 37546532
[TBL] [Abstract][Full Text] [Related]
73. [Automatic epilepsy detection with an attention-based multiscale residual network].
Wang X; Li M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Apr; 41(2):253-261. PubMed ID: 38686405
[TBL] [Abstract][Full Text] [Related]
74. A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification.
Altuwaijri GA; Muhammad G
Biosensors (Basel); 2022 Jan; 12(1):. PubMed ID: 35049650
[TBL] [Abstract][Full Text] [Related]
75. Multi-dimensional conditional mutual information with application on the EEG signal analysis for spatial cognitive ability evaluation.
Wen D; Li R; Jiang M; Li J; Liu Y; Dong X; Saripan MI; Song H; Han W; Zhou Y
Neural Netw; 2022 Apr; 148():23-36. PubMed ID: 35051867
[TBL] [Abstract][Full Text] [Related]
76. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal.
B VP; Chinara S
J Neurosci Methods; 2021 Jan; 347():108927. PubMed ID: 32941920
[TBL] [Abstract][Full Text] [Related]
77. Epilepsy detection based on multi-head self-attention mechanism.
Ru Y; An G; Wei Z; Chen H
PLoS One; 2024; 19(6):e0305166. PubMed ID: 38861543
[TBL] [Abstract][Full Text] [Related]
78. Self-Supervised EEG Emotion Recognition Models Based on CNN.
Wang X; Ma Y; Cammon J; Fang F; Gao Y; Zhang Y
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():1952-1962. PubMed ID: 37015115
[TBL] [Abstract][Full Text] [Related]
79. Automated ECG classification using a non-local convolutional block attention module.
Wang J; Qiao X; Liu C; Wang X; Liu Y; Yao L; Zhang H
Comput Methods Programs Biomed; 2021 May; 203():106006. PubMed ID: 33735660
[TBL] [Abstract][Full Text] [Related]
80. Spectral and Temporal Feature Learning With Two-Stream Neural Networks for Mental Workload Assessment.
Zhang P; Wang X; Chen J; You W; Zhang W
IEEE Trans Neural Syst Rehabil Eng; 2019 Jun; 27(6):1149-1159. PubMed ID: 31034417
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]