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 *

116 related articles for article (PubMed ID: 38082781)

  • 1. Transformer Based Cross-Subject Mental Workload Classification Using FNIRS for Real-World Application.
    Jing Y; Wang W; Wang J; Jiao Y; Xiang K; Lin T; Shi W; Hou ZG
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-5. PubMed ID: 38082781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mental workload classification using convolutional neural networks based on fNIRS-derived prefrontal activity.
    Park JH
    BMC Neurol; 2023 Dec; 23(1):442. PubMed ID: 38102540
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transformer Model for Functional Near-Infrared Spectroscopy Classification.
    Wang Z; Zhang J; Zhang X; Chen P; Wang B
    IEEE J Biomed Health Inform; 2022 Jun; 26(6):2559-2569. PubMed ID: 34986110
    [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. Functional near-infrared spectroscopy in the evaluation of urban rail transit drivers' mental workload under simulated driving conditions.
    Li LP; Liu ZG; Zhu HY; Zhu L; Huang YC
    Ergonomics; 2019 Mar; 62(3):406-419. PubMed ID: 30307379
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multisubject "Learning" for Mental Workload Classification Using Concurrent EEG, fNIRS, and Physiological Measures.
    Liu Y; Ayaz H; Shewokis PA
    Front Hum Neurosci; 2017; 11():389. PubMed ID: 28798675
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain-Computer Interfaces Based on Convolutional Neural Networks.
    Kwon J; Im CH
    Front Hum Neurosci; 2021; 15():646915. PubMed ID: 33776674
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Rethinking Delayed Hemodynamic Responses for fNIRS Classification.
    Wang Z; Fang J; Zhang J
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4528-4538. PubMed ID: 37934649
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A General and Scalable Vision Framework for Functional Near-Infrared Spectroscopy Classification.
    Wang Z; Zhang J; Xia Y; Chen P; Wang B
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1982-1991. PubMed ID: 35830404
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Real-Time Subject-Independent Pattern Classification of Overt and Covert Movements from fNIRS Signals.
    Robinson N; Zaidi AD; Rana M; Prasad VA; Guan C; Birbaumer N; Sitaram R
    PLoS One; 2016; 11(7):e0159959. PubMed ID: 27467528
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS.
    Lyu B; Pham T; Blaney G; Haga Z; Sassaroli A; Fantini S; Aeron S
    J Biomed Opt; 2021 Jan; 26(2):. PubMed ID: 33415849
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. HGR-ViT: Hand Gesture Recognition with Vision Transformer.
    Tan CK; Lim KM; Chang RKY; Lee CP; Alqahtani A
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420722
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Unified Analytical Framework With Multiple fNIRS Features for Mental Workload Assessment in the Prefrontal Cortex.
    Lim LG; Ung WC; Chan YL; Lu CK; Sutoko S; Funane T; Kiguchi M; Tang TB
    IEEE Trans Neural Syst Rehabil Eng; 2020 Nov; 28(11):2367-2376. PubMed ID: 32986555
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sensor Location Optimization of Wireless Wearable fNIRS System for Cognitive Workload Monitoring Using a Data-Driven Approach for Improved Wearability.
    Siddiquee MR; Atri R; Marquez JS; Hasan SMS; Ramon R; Bai O
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32906737
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of motor imagery and execution signals with population-level feature sets: implications for probe design in fNIRS based BCI.
    Erdoĝan SB; Özsarfati E; Dilek B; Kadak KS; Hanoĝlu L; Akın A
    J Neural Eng; 2019 Apr; 16(2):026029. PubMed ID: 30634177
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.