Threshold choice for automatic spindle detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper five choices are presented to determine the threshold for sleep spindle automatic detection. The pro- posed methods are based on performance measures. The different threshold values are compared using a Wave Morphology for Spindle Detection algorithm. For the presented algorithm, sensitivity ranges from 47.9% to 94.7%, while specificity ranges inversely from 98.7% to 89.0% for the threshold values used; the maximum accuracy reached is 96.6%.
Original languageUnknown
Title of host publicationProceedings of the 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)
Pages197-200
Publication statusPublished - 1 Jan 2012
EventIWSSIP 2012: 19th International Conference on Systems, Signals and Image Processing -
Duration: 1 Jan 2012 → …

Conference

ConferenceIWSSIP 2012: 19th International Conference on Systems, Signals and Image Processing
Period1/01/12 → …

Cite this