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Cited by in F6Publishing
For: de Goederen R, Pu S, Silos Viu M, Doan D, Overeem S, Serdijn WA, Joosten KFM, Long X, Dudink J. Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study. Sleep Med 2021;82:1-8. [PMID: 33866298 DOI: 10.1016/j.sleep.2021.03.022] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Kamon M, Okada S, Furuta M, Yoshida K. Development of a non-contact sleep monitoring system for children. Front Digit Health 2022;4. [DOI: 10.3389/fdgth.2022.877234] [Reference Citation Analysis]
2 Sarkar D, Guha D, Tarafdar P, Sarkar S, Ghosh A, Dey D. A comprehensive evaluation of contemporary methods used for automatic sleep staging. Biomedical Signal Processing and Control 2022;77:103819. [DOI: 10.1016/j.bspc.2022.103819] [Reference Citation Analysis]
3 Jin M, Kato M, Itakura S. Development of a classifier to screen for severe sleep disorders in children. Front Pediatr 2022;10:902012. [DOI: 10.3389/fped.2022.902012] [Reference Citation Analysis]
4 Lee WH, Kim SH, Na JY, Lim YH, Cho SH, Cho SH, Park HK. Non-contact Sleep/Wake Monitoring Using Impulse-Radio Ultrawideband Radar in Neonates. Front Pediatr 2021;9:782623. [PMID: 34993163 DOI: 10.3389/fped.2021.782623] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
5 Kumchaiseemak N, Chatnuntawech I, Teerapittayanon S, Kotchapansompote P, Kaewlee T, Piriyajitakonkij M, Wilaiprasitporn T, Suwajanakorn S. Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study. IEEE Trans Geosci Remote Sensing 2022;60:1-10. [DOI: 10.1109/tgrs.2022.3169642] [Reference Citation Analysis]