Dual approach for automated sleep spindles detection within EEG background activity in infant polysomnograms
Authors:
- L. CausaLCL. Causa
- P. EstevezPEP. Estevez
- C. PerezCPC. Perez
- M. GarridoMGM. Garrido
- C. AlgarinCAC. Algarin
- P. PeiranoPPP. Peirano
- 3 February 2007
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Vol. 3, 566-569
Abstract
An automated system for sleep spindles detection within EEG background activity, combining two different approaches, is presented. The first approach applies detection criteria on the sigma-band filtered EEG signal, including fuzzy thresholds. The second approach mimics an expert's procedure. A sleep spindle detection is validated if both approaches agree. The method was applied on a testing set, consisting of continuous sleep recordings of two patients, totaling 1132 epochs (pages). A total of 803 sleep spindles events were marked by the experts. Results showed an 87.7% agreement between the detection system and the medical experts.Keywords
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