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 *

379 related articles for article (PubMed ID: 34180436)

  • 21. [Single-channel electroencephalogram signal used for sleep state recognition based on one-dimensional width kernel convolutional neural networks and long-short-term memory networks].
    Liang J; Zhou Q; Li W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Dec; 39(6):1089-1096. PubMed ID: 36575077
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Automatic sleep stage classification: A light and efficient deep neural network model based on time, frequency and fractional Fourier transform domain features.
    You Y; Zhong X; Liu G; Yang Z
    Artif Intell Med; 2022 May; 127():102279. PubMed ID: 35430040
    [TBL] [Abstract][Full Text] [Related]  

  • 23. [Automatic sleep staging based on power spectral density and random forest].
    Gao Q; Wu K
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Apr; 40(2):280-285. PubMed ID: 37139759
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A-phase classification using convolutional neural networks.
    Arce-Santana ER; Alba A; Mendez MO; Arce-Guevara V
    Med Biol Eng Comput; 2020 May; 58(5):1003-1014. PubMed ID: 32124224
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEG.
    Khalili E; Mohammadzadeh Asl B
    Comput Methods Programs Biomed; 2021 Jun; 204():106063. PubMed ID: 33823315
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography.
    Fu M; Wang Y; Chen Z; Li J; Xu F; Liu X; Hou F
    Front Physiol; 2021; 12():628502. PubMed ID: 33746774
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Deep Learning Method Approach for Sleep Stage Classification with EEG Spectrogram.
    Li C; Qi Y; Ding X; Zhao J; Sang T; Lee M
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627856
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A deep learning algorithm for sleep stage scoring in mice based on a multimodal network with fine-tuning technique.
    Akada K; Yagi T; Miura Y; Beuckmann CT; Koyama N; Aoshima K
    Neurosci Res; 2021 Dec; 173():99-105. PubMed ID: 34280429
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Sleep staging from single-channel EEG with multi-scale feature and contextual information.
    Chen K; Zhang C; Ma J; Wang G; Zhang J
    Sleep Breath; 2019 Dec; 23(4):1159-1167. PubMed ID: 30863994
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.
    Korkalainen H; Aakko J; Nikkonen S; Kainulainen S; Leino A; Duce B; Afara IO; Myllymaa S; Toyras J; Leppanen T
    IEEE J Biomed Health Inform; 2020 Jul; 24(7):2073-2081. PubMed ID: 31869808
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A lightweight automatic sleep staging method for children using single-channel EEG based on edge artificial intelligence.
    Zhu L; Wang C; He Z; Zhang Y
    World Wide Web; 2022; 25(5):1883-1903. PubMed ID: 35002476
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG.
    Jawed S; Faye I; Malik AS
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():378-390. PubMed ID: 38194390
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Sleep staging algorithm based on multichannel data adding and multifeature screening.
    Huang W; Guo B; Shen Y; Tang X; Zhang T; Li D; Jiang Z
    Comput Methods Programs Biomed; 2020 Apr; 187():105253. PubMed ID: 31812884
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals.
    Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG.
    Supratak A; Dong H; Wu C; Guo Y
    IEEE Trans Neural Syst Rehabil Eng; 2017 Nov; 25(11):1998-2008. PubMed ID: 28678710
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A novel deep-learning model based on τ-shaped convolutional network (τNet) with long short-term memory (LSTM) for physiological fatigue detection from EEG and EOG signals.
    He L; Zhang L; Lin X; Qin Y
    Med Biol Eng Comput; 2024 Jun; 62(6):1781-1793. PubMed ID: 38374416
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.
    Zhang L; Fabbri D; Upender R; Kent D
    Sleep; 2019 Oct; 42(11):. PubMed ID: 31289828
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals.
    Yildirim O; Baloglu UB; Acharya UR
    Int J Environ Res Public Health; 2019 Feb; 16(4):. PubMed ID: 30791379
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Convolutional neural network is a good technique for sleep staging based on HRV: A comparative analysis.
    Du-Yan G; Jia-Xing W; Yan W; Xuan-Yu L
    Neurosci Lett; 2022 May; 779():136550. PubMed ID: 35227774
    [TBL] [Abstract][Full Text] [Related]  

  • 40. SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG.
    Zhao C; Li J; Guo Y
    Comput Methods Programs Biomed; 2022 Jun; 220():106806. PubMed ID: 35461126
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.