Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools.

ABSTRACT: Sleep spindle properties index cognitive faculties such as memory consolidation and diseases such as major depression. For this reason, scoring sleep spindle properties in polysomnographic recordings has become an important activity in both research and clinical settings. The tediousness of this manual task has motivated efforts for its automation. Although some progress has been made, increasing the temporal accuracy of spindle scoring and improving the performance assessment methodology are two aspects needing more attention. In this paper, four open-access automated spindle detectors with fine temporal resolution are proposed and tested against expert scoring of two proprietary and two open-access databases. Results highlight several findings: (1) that expert scoring and polysomnographi

SUBMITTER: O'Reilly C 

PROVIDER: S-EPMC4478395 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature