DocumentCode
667247
Title
A new approach to adaptive noise cancellation in synthetic auditory evoked potentials
Author
Acir, N. ; Menguc, E.C.
fYear
2013
fDate
10-13 Nov. 2013
Firstpage
1
Lastpage
3
Abstract
This paper presents a new approach for enhancing Auditory Evoked Potentials (AEP). In this study, we first generated synthetic single trial AEP data at some specified noise levels by using gamma-tone function technique and then applied the proposed Lyapunov theory based filter to the noisy AEP synthetic data. Simulation results have been demonstrated that enhanced AEP with LST based adaptive filter can effectively be used to cancel out background EEG noise for a better measurement.
Keywords
Lyapunov methods; adaptive filters; auditory evoked potentials; electroencephalography; medical signal processing; signal denoising; LST based adaptive filter; Lyapunov theory based filter; adaptive noise cancellation; background EEG noise; gamma-tone function technique; noise levels; noisy AEP synthetic data; synthetic auditory evoked potentials; synthetic single trial AEP data; Adaptive filters; Brain modeling; Electroencephalography; Noise cancellation; Noise level; Noise measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location
Chania
Type
conf
DOI
10.1109/BIBE.2013.6701585
Filename
6701585
Link To Document