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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 53; no. 7; pp. 635 - 645 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2015
|
| Acceso en línea: | Ver este registro en EBSCOhost |