Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 47, Pages: 1-8
Vijayakumar Gurrala1*, Padmasai Yarlagadda1 and Padmaraju Koppireddi2
1Departmentof Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad – 500090, Telangana, India; [email protected], [email protected] 2Department of Electronics and Communication Engineering, JNTU Kakinada, Kakinada – 533003, Andhra Pradesh, India; [email protected]
*Author For Correspondence
Departmentof Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad – 500090, Telangana, India; [email protected]
Objectives: Many sleep related disorders can hamper the performance of an individual and there is an absolute need to research upon such disorders. Methods /Statistical Analysis: The neuro physiologists record an electrical activity of the brain through Electroencephalogram (EEG), since the emphasis of study is sleep. Artifacts are the recorded activities which are not the records of cerebral origin. As the EEG record itself runs for longer periods, it suffers from some artifacts. In this article Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMD-AN) method is proposed for removing the artifacts from the contaminated sleep EEG. Findings: In this article we consider Index of Orthogonality (IORT), Percentage Error in Energy (PEE) and Number of sifting iterations to assess the performance of CEEMD-AN method over the earlier methods are explored. Application/Improvement: The artifact free data gives best results for neuro physiologists to identify the disorder.
Keywords: Artifacts, CEEMD-AN, EEG Waves, Noise Adaptive Data Analysis, Sleep EEG
Subscribe now for latest articles and news.