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<p>Here we present data from two studies, both of which had the purpose of investigating the potential of using electroencephalograms measured from the ear (’ear-EEG’) for sleep monitoring in a home environment. In total, 320 nights were recorded. All nights were recorded with ear-EEG, and some were also recorded using scalp-EEG and/or wristworn actigraphy. All subjects were recorded multiple times. To our knowledge, this is the most extensive open access data set available for mobile EEG development, and possibly also the best open access dataset for studying repeated sleep monitoring on individuals. We describe the details of each data set, including data quality measures, and compare the sleep scoring performance to a previously published dataset.</p>

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Ear-EEG sleep monitoring data sets

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月19日

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  • Kaare Bjarke Mikkelsen,
  • Yousef Rezai Tabar,
  • Laura Rævsbæk Birch,
  • Simon Lind Kappel,
  • Christian Bech Christensen,
  • Lars Dalskov Mosgaard,
  • Marit Otto,
  • Martin Christian Hemmsen,
  • Mike Lind Rank,
  • Preben Kidmose

摘要

Here we present data from two studies, both of which had the purpose of investigating the potential of using electroencephalograms measured from the ear (’ear-EEG’) for sleep monitoring in a home environment. In total, 320 nights were recorded. All nights were recorded with ear-EEG, and some were also recorded using scalp-EEG and/or wristworn actigraphy. All subjects were recorded multiple times. To our knowledge, this is the most extensive open access data set available for mobile EEG development, and possibly also the best open access dataset for studying repeated sleep monitoring on individuals. We describe the details of each data set, including data quality measures, and compare the sleep scoring performance to a previously published dataset.