Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal

Research article (IEEE Journal of Biomedical and Health Informatics, 2018) · cited 70× · AI/ML
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Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal

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Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/sleep-apnea-detection-based-on-rician-modeling-of-feature-variation-in-multiband-eeg-signal
MLA “Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sleep-apnea-detection-based-on-rician-modeling-of-feature-variation-in-multiband-eeg-signal.
BibTeX @misc{4ortxyz_sleep-apnea-detection-based-on-rician-modeling-of-feature-variation-in-multiband-eeg-signal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sleep Apnea Detection Based on Rician Modeling of Feature Variation in Multiband EEG Signal}}, year = {2026}, url = {https://4ort.xyz/entity/sleep-apnea-detection-based-on-rician-modeling-of-feature-variation-in-multiband-eeg-signal}, note = {Accessed: 2026-05-24}}
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