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Journal Abstract Search
262 related items for PubMed ID: 32149661
1. Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor. Choi SH, Kwon HB, Jin HW, Yoon H, Lee MH, Lee YJ, Park KS. IEEE J Biomed Health Inform; 2020 Dec; 24(12):3606-3615. PubMed ID: 32149661 [Abstract] [Full Text] [Related]
2. Attention-Based LSTM for Non-Contact Sleep Stage Classification Using IR-UWB Radar. Kwon HB, Choi SH, Lee D, Son D, Yoon H, Lee MH, Lee YJ, Park KS. IEEE J Biomed Health Inform; 2021 Oct; 25(10):3844-3853. PubMed ID: 33848253 [Abstract] [Full Text] [Related]
3. Unconstrained Sleep Stage Estimation Based on Respiratory Dynamics and Body Movement. Hwang SH, Lee YJ, Jeong DU, Park KS. Methods Inf Med; 2016 Dec 07; 55(6):545-555. PubMed ID: 27626633 [Abstract] [Full Text] [Related]
4. Unconstrained sleep apnea monitoring using polyvinylidene fluoride film-based sensor. Hwang SH, Lee HJ, Yoon HN, Jung DW, Lee YJ, Lee YJ, Jeong DU, Park KS. IEEE Trans Biomed Eng; 2014 Jul 07; 61(7):2125-34. PubMed ID: 24718565 [Abstract] [Full Text] [Related]
5. Neonatal sleep stage identification using long short-term memory learning system. Fraiwan L, Alkhodari M. Med Biol Eng Comput; 2020 Jun 07; 58(6):1383-1391. PubMed ID: 32281071 [Abstract] [Full Text] [Related]
6. 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 21; 42(11):. PubMed ID: 31289828 [Abstract] [Full Text] [Related]
7. A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning. Sun C, Chen C, Li W, Fan J, Chen W. IEEE J Biomed Health Inform; 2020 May 21; 24(5):1351-1366. PubMed ID: 31478877 [Abstract] [Full Text] [Related]
8. Automatic sleep scoring with LSTM networks: impact of time granularity and input signals. Tăuțan AM, Rossi AC, Ionescu B. Biomed Tech (Berl); 2022 Aug 26; 67(4):267-281. PubMed ID: 35660133 [Abstract] [Full Text] [Related]
9. Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns. Kazemi K, Abiri A, Zhou Y, Rahmani A, Khayat RN, Liljeberg P, Khine M. Comput Biol Med; 2024 Sep 26; 179():108679. PubMed ID: 39033682 [Abstract] [Full Text] [Related]
10. Sleep stage classification using covariance features of multi-channel physiological signals on Riemannian manifolds. Jiang D, Ma Y, Wang Y. Comput Methods Programs Biomed; 2019 Sep 26; 178():19-30. PubMed ID: 31416548 [Abstract] [Full Text] [Related]
11. Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals. Michielli N, Acharya UR, Molinari F. Comput Biol Med; 2019 Mar 26; 106():71-81. PubMed ID: 30685634 [Abstract] [Full Text] [Related]
12. Expert-level sleep scoring with deep neural networks. Biswal S, Sun H, Goparaju B, Westover MB, Sun J, Bianchi MT. J Am Med Inform Assoc; 2018 Dec 01; 25(12):1643-1650. PubMed ID: 30445569 [Abstract] [Full Text] [Related]
13. Automatic sleep stages classification using respiratory, heart rate and movement signals. Gaiduk M, Penzel T, Ortega JA, Seepold R. Physiol Meas; 2018 Dec 24; 39(12):124008. PubMed ID: 30524059 [Abstract] [Full Text] [Related]
14. Sleep stage classification based on bioradiolocation signals. Tataraidze A, Anishchenko L, Korostovtseva L, Kooij BJ, Bochkarev M, Sviryaev Y. Annu Int Conf IEEE Eng Med Biol Soc; 2015 Dec 24; 2015():362-5. PubMed ID: 26736274 [Abstract] [Full Text] [Related]
15. Automated multi-model deep neural network for sleep stage scoring with unfiltered clinical data. Zhang X, Xu M, Li Y, Su M, Xu Z, Wang C, Kang D, Li H, Mu X, Ding X, Xu W, Wang X, Han D. Sleep Breath; 2020 Jun 24; 24(2):581-590. PubMed ID: 31938990 [Abstract] [Full Text] [Related]
16. A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals. ElMoaqet H, Eid M, Ryalat M, Penzel T. Sensors (Basel); 2022 Nov 15; 22(22):. PubMed ID: 36433422 [Abstract] [Full Text] [Related]
18. Expert-level sleep staging using an electrocardiography-only feed-forward neural network. Jones AM, Itti L, Sheth BR. Comput Biol Med; 2024 Jun 15; 176():108545. PubMed ID: 38749325 [Abstract] [Full Text] [Related]
19. Sleep stage classification with ECG and respiratory effort. Fonseca P, Long X, Radha M, Haakma R, Aarts RM, Rolink J. Physiol Meas; 2015 Oct 15; 36(10):2027-40. PubMed ID: 26289580 [Abstract] [Full Text] [Related]
20. Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population. Fonseca P, van Gilst MM, Radha M, Ross M, Moreau A, Cerny A, Anderer P, Long X, van Dijk JP, Overeem S. Sleep; 2020 Sep 14; 43(9):. PubMed ID: 32249911 [Abstract] [Full Text] [Related] Page: [Next] [New Search]