• 作者：Armand Mensen ; ^{research.mensen@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Brady Riedner ; Giulio Tononi
• 关键词：Slow waves ; Automatic detection ; Sleep ; EEG ; Toolbox
• 刊名：Journal of Neuroscience Methods
• 出版年：2016
• 出版时间：1 December 2016
• 年：2016
• 卷：274
• 期：Complete
• 页码：1-12
• 全文大小：3637 K

d="par0005">We introduce an open-source toolbox for individual detection and analysis of slow waves in sleep electroencephalography.

d="par0010">Novel and previously applied automatic detection algorithms are introduced and explored.

d="par0015">Individual slow waves are detected in sleep recordings from participants along a large search-space of parameter settings.

d="par0020">Properties of detected slow waves are compared across parameter settings on a range of outcome measures of interest.

d="par0025">Visualization options for toolbox users are introduced, including the possibility to manual score sleep.