Enhanced automated sleep spindle detection algorithm based on synchrosqueezing.
Detection of sleep spindles is of major importance in the field of sleep research. However, manual scoring of spindles on prolonged recordings is very laborious and time-consuming. In this paper, we introduce a new algorithm based on synchrosqueezing transform for detection of sleep spindles. Synchr...
| Published in: | Medical & Biological Engineering & Computing Vol. 53; no. 7; pp. 635 - 645 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jul2015
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| Online Access: | View this record in EBSCOhost |