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Part 1: Document Description
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Citation |
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Title: |
Preprocessed Sleep-EDF-20 dataset |
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Identification Number: |
doi:10.21979/N9/MA1AVG |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-03-08 |
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Version: |
1 |
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Bibliographic Citation: |
Eldele, Emadeldeen, 2022, "Preprocessed Sleep-EDF-20 dataset", https://doi.org/10.21979/N9/MA1AVG, DR-NTU (Data), V1 |
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Citation |
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Title: |
Preprocessed Sleep-EDF-20 dataset |
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Identification Number: |
doi:10.21979/N9/MA1AVG |
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Authoring Entity: |
Eldele, Emadeldeen (Nanyang Technological University) |
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Software used in Production: |
AttnSleep |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Eldele, Emadeldeen |
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Depositor: |
Eldele, Emadeldeen |
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Date of Deposit: |
2022-03-08 |
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Holdings Information: |
https://doi.org/10.21979/N9/MA1AVG |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Computer and Information Science, Engineering, Sleep stage classification, sleep-edf |
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Abstract: |
Preprocessed files of Sleep-EDF dataset used in AttnSleep work https://ieeexplore.ieee.org/document/9417097 |
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Kind of Data: |
sleep stage classification |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Archive Where Study was Originally Stored: |
This dataset is a pre-processed version from the original Sleep-EDF-20 dataset. We provide this to help the research community in standardizing the pre-processing as a step toward a fair evaluation. Sleep-EDF Database <a href="https://www.physionet.org/content/sleep-edfx/1.0.0/">https://www.physionet.org/content/sleep-edfx/1.0.0/</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/TNSRE.2021.3076234 |
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Bibliographic Citation: |
Eldele, E., Chen, Z., Liu, C., Wu, M., Kwoh, C. K., Li, X., & Guan, C. (2021). An attention-based deep learning approach for sleep stage classification with single-channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 809-818. |
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Citation |
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Identification Number: |
10356/155623 |
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Bibliographic Citation: |
Eldele, E., Chen, Z., Liu, C., Wu, M., Kwoh, C. K., Li, X., & Guan, C. (2021). An attention-based deep learning approach for sleep stage classification with single-channel EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 809-818. |
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