Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects
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Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects. / Wendt, Sabrina L; Christensen, Gitte Julie; Kempfner, Jacob; Leonthin, Helle L; Jennum, Poul; Sorensen, Helge B D.
I: I E E E Engineering in Medicine and Biology Society. Conference Proceedings, Bind 2012, 2012, s. 4250-3.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects
AU - Wendt, Sabrina L
AU - Christensen, Gitte Julie
AU - Kempfner, Jacob
AU - Leonthin, Helle L
AU - Jennum, Poul
AU - Sorensen, Helge B D
PY - 2012
Y1 - 2012
N2 - Many of the automatic sleep spindle detectors currently used to analyze sleep EEG are either validated on young subjects or not validated thoroughly. The purpose of this study is to develop and validate a fast and reliable sleep spindle detector with high performance in middle aged subjects. An automatic sleep spindle detector using a bandpass filtering approach and a time varying threshold was developed. The validation was done on sleep epochs from EEG recordings with manually scored sleep spindles from 13 healthy subjects with a mean age of 57.9 ± 9.7 years. The sleep spindle detector reached a mean sensitivity of 84.6 % and a mean specificity of 95.3 %. The sleep spindle detector can be used to obtain measures of spindle count and density together with quantitative measures such as the mean spindle frequency, mean spindle amplitude, and mean spindle duration.
AB - Many of the automatic sleep spindle detectors currently used to analyze sleep EEG are either validated on young subjects or not validated thoroughly. The purpose of this study is to develop and validate a fast and reliable sleep spindle detector with high performance in middle aged subjects. An automatic sleep spindle detector using a bandpass filtering approach and a time varying threshold was developed. The validation was done on sleep epochs from EEG recordings with manually scored sleep spindles from 13 healthy subjects with a mean age of 57.9 ± 9.7 years. The sleep spindle detector reached a mean sensitivity of 84.6 % and a mean specificity of 95.3 %. The sleep spindle detector can be used to obtain measures of spindle count and density together with quantitative measures such as the mean spindle frequency, mean spindle amplitude, and mean spindle duration.
U2 - 10.1109/EMBC.2012.6346905
DO - 10.1109/EMBC.2012.6346905
M3 - Journal article
C2 - 23366866
VL - 2012
SP - 4250
EP - 4253
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SN - 0589-1019
ER -
ID: 48474022