These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

167 related articles for article (PubMed ID: 38544152)

  • 1. EF-Net: Mental State Recognition by Analyzing Multimodal EEG-fNIRS via CNN.
    Arif A; Wang Y; Yin R; Zhang X; Helmy A
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544152
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multimodal Autoencoder Predicts fNIRS Resting State From EEG Signals.
    Sirpal P; Damseh R; Peng K; Nguyen DK; Lesage F
    Neuroinformatics; 2022 Jul; 20(3):537-558. PubMed ID: 34378155
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning networks based decision fusion model of EEG and fNIRS for classification of cognitive tasks.
    Rabbani MHR; Islam SMR
    Cogn Neurodyn; 2024 Aug; 18(4):1489-1506. PubMed ID: 39104699
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications.
    Chu H; Cao Y; Jiang J; Yang J; Huang M; Li Q; Jiang C; Jiao X
    Biomed Eng Online; 2022 Feb; 21(1):9. PubMed ID: 35109879
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A hybrid BCI based on EEG and fNIRS signals improves the performance of decoding motor imagery of both force and speed of hand clenching.
    Yin X; Xu B; Jiang C; Fu Y; Wang Z; Li H; Shi G
    J Neural Eng; 2015 Jun; 12(3):036004. PubMed ID: 25834118
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM.
    Mughal NE; Khan MJ; Khalil K; Javed K; Sajid H; Naseer N; Ghafoor U; Hong KS
    Front Neurorobot; 2022; 16():873239. PubMed ID: 36119719
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning.
    Cao J; Garro EM; Zhao Y
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236725
    [TBL] [Abstract][Full Text] [Related]  

  • 8. fNIRS improves seizure detection in multimodal EEG-fNIRS recordings.
    Sirpal P; Kassab A; Pouliot P; Nguyen DK; Lesage F
    J Biomed Opt; 2019 Feb; 24(5):1-9. PubMed ID: 30734544
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Assessment of mental workload by EEG+FNIRS.
    Aghajani H; Omurtag A
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():3773-3776. PubMed ID: 28269110
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved classification performance of EEG-fNIRS multimodal brain-computer interface based on multi-domain features and multi-level progressive learning.
    Qiu L; Zhong Y; He Z; Pan J
    Front Hum Neurosci; 2022; 16():973959. PubMed ID: 35992956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning multimodal fNIRS and EEG signals for bimanual grip force decoding.
    Ortega P; Faisal AA
    J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34350839
    [No Abstract]   [Full Text] [Related]  

  • 12. Viewing neurovascular coupling through the lens of combined EEG-fNIRS: A systematic review of current methods.
    Yeung MK; Chu VW
    Psychophysiology; 2022 Jun; 59(6):e14054. PubMed ID: 35357703
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Measuring Mental Workload with EEG+fNIRS.
    Aghajani H; Garbey M; Omurtag A
    Front Hum Neurosci; 2017; 11():359. PubMed ID: 28769775
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Decoding human mental states by whole-head EEG+fNIRS during category fluency task performance.
    Omurtag A; Aghajani H; Keles HO
    J Neural Eng; 2017 Dec; 14(6):066003. PubMed ID: 28730995
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals.
    Rosas-Romero R; Guevara E; Peng K; Nguyen DK; Lesage F; Pouliot P; Lima-Saad WE
    Comput Biol Med; 2019 Aug; 111():103355. PubMed ID: 31323603
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Simultaneous multimodal fNIRS-EEG recordings reveal new insights in neural activity during motor execution, observation, and imagery.
    Su WC; Dashtestani H; Miguel HO; Condy E; Buckley A; Park S; Perreault JB; Nguyen T; Zeytinoglu S; Millerhagen J; Fox N; Gandjbakhche A
    Sci Rep; 2023 Mar; 13(1):5151. PubMed ID: 36991003
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Context-aware Multimodal Auditory BCI Classification through Graph Neural Networks.
    Kumar C; Rahimi N; Gonjari R; McLinden J; Hosni SI; Shahriari Y; Shao M
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083118
    [TBL] [Abstract][Full Text] [Related]  

  • 18. GNN-Based Depression Recognition Using Spatio-Temporal Information: A fNIRS Study.
    Yu Q; Wang R; Liu J; Hu L; Chen M; Liu Z
    IEEE J Biomed Health Inform; 2022 Oct; 26(10):4925-4935. PubMed ID: 35905061
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease.
    Cicalese PA; Li R; Ahmadi MB; Wang C; Francis JT; Selvaraj S; Schulz PE; Zhang Y
    J Neurosci Methods; 2020 Apr; 336():108618. PubMed ID: 32045572
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid Integrated Wearable Patch for Brain EEG-fNIRS Monitoring.
    Li B; Li M; Xia J; Jin H; Dong S; Luo J
    Sensors (Basel); 2024 Jul; 24(15):. PubMed ID: 39123894
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.