Title :
Artifacts Removal in EEG Signal using Adaptive Neuro Fuzzy Inference System
Author :
Kezi Selva Vijilal, C. ; Kanagasabapathy, P. ; Johnson, Stanley ; Ewards, Vinodh
Author_Institution :
Karunya Univ., Coimbatore
Abstract :
In this paper, we propose a hybrid soft computing technique called adaptive neuro-fuzzy inference system (ANFIS) to estimate the interference and to separate the electroencephalogram (EEG) signal from its electrooculogram (EOG), electrocardiogram (ECG) and electromyogram (EMG) artifacts. This paper shows that the proposed method successfully removes the artifacts and extracts the desired EEG signal
Keywords :
adaptive signal processing; adaptive systems; electroencephalography; fuzzy neural nets; inference mechanisms; medical signal processing; ANFIS; ECG; EEG; EMG; EOG; adaptive neuro-fuzzy inference system; electrocardiogram; electroencephalogram signal; electromyogram artifacts; electrooculogram; hybrid soft computing technique; interference estimation; Distortion measurement; Electroencephalography; Electrooculography; Fuzzy systems; Interference; Noise cancellation; Noise measurement; Pollution measurement; Principal component analysis; Scalp; ANFIS; EEG extraction; adaptive noise cancellation; neuro fuzzy;
Conference_Titel :
Signal Processing, Communications and Networking, 2007. ICSCN '07. International Conference on
Conference_Location :
Chennai
Print_ISBN :
1-4244-0997-7
Electronic_ISBN :
1-4244-0997-7
DOI :
10.1109/ICSCN.2007.350676
