Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8709033 | Sleep Medicine | 2018 | 40 Pages |
Abstract
Despite low sensitivity for artifact rejection, the automated pipeline generated results comparable to those obtained with a standard method that included manual artifact detection. Automated pipelines can enable practical analyses of recordings from thousands of individuals, allowing for use in genetics and epidemiological research requiring large samples.
Keywords
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Authors
Sara Mariani, Leila Tarokh, Ina Djonlagic, Brian E. Cade, Michael G. Morrical, Kristine Yaffe, Katie L. Stone, Kenneth A. Loparo, Shaun M. Purcell, Susan Redline, Daniel Aeschbach,