NDLI: Validation of a novel automatic sleep spindle detector with high performance during sleep in middle aged subjects

Content Provider	IEEE Xplore Digital Library
Author	Wendt, S.L. Christensen, J.A.E. Kempfner, J. Leonthin, H.L. Jennum, P. Sorensen, H.B.D.
Copyright Year	2012
Description	Author affiliation: Inst. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark (Wendt, S.L.; Christensen, J.A.E.; Kempfner, J.; Sorensen, H.B.D.) \|\| Danish Center for Sleep Med., Glostrup Univ. Hosp., Glostrup, Denmark (Leonthin, H.L.; Jennum, P.)
Abstract	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.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	4250
Ending Page	4253
File Size	316022
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Sleep Electroencephalography Sensitivity Aging Frequency measurement Standards
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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