Visual identification of sleep spindles in EEG waveform images using deep learning object detection (YOLOv4 vs YOLOX)
Author:
Funder
Jordan University of Science and Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04630-0.pdf
Reference35 articles.
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2. Parekh, A., Selesnick, I.W., Osorio, R.S., Varga, A.W., Rapoport, D.M., Ayappa, I.: Multichannel sleep spindle detection using sparse low-rank optimization. J. Neurosci. Methods (2017). https://doi.org/10.1101/104414
3. Diekelmann, S., Born, J.: The memory function of sleep. Nat. Rev. Neurosci. 11(2), 114–126 (2010). https://doi.org/10.1038/nrn2762
4. Fernandez, L.M.J., Lüthi, A.: Sleep spindles: mechanisms and functions. Physiol. Rev. 100(2), 805–868 (2020). https://doi.org/10.1152/physrev.00042.2018
5. Zhuang, X., Li, Y., Peng, N.: Enhanced automatic sleep spindle detection: a sliding window-based wavelet analysis and comparison using a proposal assessment method. Appl. Inform. (2016). https://doi.org/10.1186/s40535-016-0027-9
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