Elimination of EMG artifacts from EEG signal in sleep staging [Uyku evrelemede EMG Gürültülerinin EEG Sinyalinden Elenmesi]
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Sleep staging is a tiring and time-consuming process for the experts. Thus, attention given to automatic sleep staging studies is increasing gradually. Many factors such as effects of EOG and EKG signals to EEG result in contaminated signals rather than clear recorded signals. EMG contamination to EEG is among that kind of factors. In this study, some filters and Discrete Wavelet Transform based EMG artifact elimination process were evaluated on the performance of sleep staging process. Features were extracted from cleaned EEG signals and subjected to a classifier to conduct sleep staging. By using test classification accuracy as a measure of performance, the method giving highest accuracy was tried to be found. Artificial Neural Networks was used in the applications and Discrete Wavelet Transform was found to be the method giving the highest accuracy. © 2016 IEEE.
Açıklama
24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- 122605
Anahtar Kelimeler
Artifact removing, EEG, EMG, filtering, Sleep staging
Kaynak
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
