원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.9
2016.09
pp.291-302
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Electroencephalograms are the neurological signals which help in the study of various diseases. These are often contaminated with various artifacts. It is difficult to study and analysis of brain signals in the existence of these artifacts. EOG, ECG, motion and EMG are the common artifacts which cause disturbance to neurological signal. This review paper focuses on the artifact removal techniques with their features. Important parameters were taken into consideration while the study of various published papers. Strength and weakness of each paper are mentioned. This review of various papers is best of my knowledge.
목차
Abstract
1. Introduction
1.1. Types of EEG Signals
1.2. Artifacts
2. Artifact Removal Techniques
2.1. Blind Source Separation (BSS)
2.2. Empirical Mode Decomposition (EMD)
2.3. Ensemble Empirical Mode Decomposition (EEMD)
2.3. Wavelet Transform
3. Proposed Work
4. Review
5. Conclusion
References
1. Introduction
1.1. Types of EEG Signals
1.2. Artifacts
2. Artifact Removal Techniques
2.1. Blind Source Separation (BSS)
2.2. Empirical Mode Decomposition (EMD)
2.3. Ensemble Empirical Mode Decomposition (EEMD)
2.3. Wavelet Transform
3. Proposed Work
4. Review
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보