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Exploring the Link Between Brain Waves and Sleep Patterns with Deep Learning Manifold Alignment

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Year: 2023
Type: conference-paper
Source: Lecture notes in networks and systems
DOI: 10.1007/978-3-031-42317-8_7
Authors: Yosef Bernardus Wirian, Yang Jiang, Sylvia Cerel-Suhl, Jeremiah Suhl, Qiang Cheng
Institutions: University of Kentucky, Lexington VA Health Care System
Language: English

Topic: EEG and Brain-Computer Interfaces
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: Sleep Heart Health Study, The Sleep Heart Health Study (SHHS), National Sleep Research Resource (NSRR), The Sleep Heart Health Study, SLEEP HEART HEALTH STUDY, Data Coordinating Center for Sleep Heart Health, Sleep Heart Health Study, Sleep Heart Health Study (SHHS), Gene Profile Analysis of Associations between Alzheimer’s Disease and Circadian Rhythmic Patterns of Human Brain Regions Using Machine Learning, The Sleep Heart Health Study, Noninvasive Noncontact High-Density Optical Imaging of Neonatal Intraventricular Hemorrhage, G8375851502, G8790260826, University of Kentucky Alzheimer's Disease Research Center
OpenAlex ID: W4386287412
FWCI:
Cites: 18
Cited by:
Related to: 10
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