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Journal Abstract Search
206 related items for PubMed ID: 33848253
1. 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]
2. Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study. de Goederen R, Pu S, Silos Viu M, Doan D, Overeem S, Serdijn WA, Joosten KFM, Long X, Dudink J. Sleep Med; 2021 Jun; 82():1-8. PubMed ID: 33866298 [Abstract] [Full Text] [Related]
3. 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]
5. Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radar. Lee JH, Nam H, Kim DH, Koo DL, Choi JW, Hong SN, Jeon ET, Lim S, Jang GS, Kim BH. J Sleep Res; 2024 Feb; 33(1):e14050. PubMed ID: 37752626 [Abstract] [Full Text] [Related]
6. Non-contact Sleep/Wake Monitoring Using Impulse-Radio Ultrawideband Radar in Neonates. Lee WH, Kim SH, Na JY, Lim YH, Cho SH, Cho SH, Park HK. Front Pediatr; 2021 Feb; 9():782623. PubMed ID: 34993163 [Abstract] [Full Text] [Related]
7. Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®). Toften S, Pallesen S, Hrozanova M, Moen F, Grønli J. Sleep Med; 2020 Nov; 75():54-61. PubMed ID: 32853919 [Abstract] [Full Text] [Related]
8. [Application of impulse-radio ultra-wideband radar as a non-contact portable monitoring device for the diagnosis of obstructive sleep apnea]. Feng C, Zhang H, Han Y, Jin X, Yang F, Zou J, Wang Y, Li Y. Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Jul; 34(7):634-638. PubMed ID: 32791641 [Abstract] [Full Text] [Related]
12. Sleep stage classification with ECG and respiratory effort. Fonseca P, Long X, Radha M, Haakma R, Aarts RM, Rolink J. Physiol Meas; 2015 Oct 01; 36(10):2027-40. PubMed ID: 26289580 [Abstract] [Full Text] [Related]
13. Evaluation of a non-contact ultra-wideband bio-radar sleep monitoring device for screening of sleep breathing disease. Wei Z, Xu J, Li W, Wang X, Qin Z, Zhou J, Wang W. Sleep Breath; 2022 Jun 01; 26(2):689-696. PubMed ID: 34302610 [Abstract] [Full Text] [Related]
14. 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]
18. A novel sleep stage scoring system: Combining expert-based features with the generalized linear model. Gunnarsdottir KM, Gamaldo C, Salas RM, Ewen JB, Allen RP, Hu K, Sarma SV. J Sleep Res; 2020 Oct 13; 29(5):e12991. PubMed ID: 32030843 [Abstract] [Full Text] [Related]
19. An Overview of Signal Processing Techniques for Remote Health Monitoring Using Impulse Radio UWB Transceiver. Khan F, Ghaffar A, Khan N, Cho SH. Sensors (Basel); 2020 Apr 27; 20(9):. PubMed ID: 32349382 [Abstract] [Full Text] [Related]