Benchmark on a large cohort for sleep-wake classification with machine learning techniques

<p>Accurately measuring sleep and its quality with polysomnography (PSG) is an expensive task. Actigraphy, an alternative, has been proven cheap and relatively accurate. However, the largest experiments conducted to date, have had only hundreds of participants. In this work, we processed the d...

Full description

Saved in:
Bibliographic Details
Main Author: Joao Palotti (8479842) (author)
Other Authors: Raghvendra Mall (581171) (author), Michael Aupetit (3582545) (author), Michael Rueschman (5900903) (author), Meghna Singh (184219) (author), Aarti Sathyanarayana (14153004) (author), Shahrad Taheri (57360) (author), Luis Fernandez-Luque (3572423) (author)
Published: 2019
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!