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3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning

Research article (IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023) · cited 40× · AI/ML
academia openalex:W4386231738
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3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning

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3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning is a scholarly article[1].

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Yan Li

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APA 4ort.xyz Knowledge Graph. (2026). 3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/3dsleepnet-a-multi-channel-bio-signal-based-sleep-stages-classification-method-using-deep-learning
MLA “3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3dsleepnet-a-multi-channel-bio-signal-based-sleep-stages-classification-method-using-deep-learning.
BibTeX @misc{4ortxyz_3dsleepnet-a-multi-channel-bio-signal-based-sleep-stages-classification-method-using-deep-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3DSleepNet: A Multi-Channel Bio-Signal Based Sleep Stages Classification Method Using Deep Learning}}, year = {2026}, url = {https://4ort.xyz/entity/3dsleepnet-a-multi-channel-bio-signal-based-sleep-stages-classification-method-using-deep-learning}, note = {Accessed: 2026-05-24}}
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