Ontology highlight
ABSTRACT:
SUBMITTER: Lacourse K
PROVIDER: S-EPMC7305234 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Lacourse Karine K Yetton Ben B Mednick Sara S Warby Simon C SC
Scientific data 20200619 1
Spindle event detection is a key component in analyzing human sleep. However, detection of these oscillatory patterns by experts is time consuming and costly. Automated detection algorithms are cost efficient and reproducible but require robust datasets to be trained and validated. Using the MODA (Massive Online Data Annotation) platform, we used crowdsourcing to produce a large open-source dataset of high quality, human-scored sleep spindles (5342 spindles, from 180 subjects). We evaluated the ...[more]