Extraction of short-latency evoked potentials using a combination of wavelets and evolutionary algorithms

Medical Engineering and Physics

Volumn 25, Issue 5, 2003, Pages 407-412

  Turner, S ^a   Picton, P ^a   Campbell, J ^a  

^a UNIVERSITY OF NORTHAMPTON   (United Kingdom)

Author keywords

Evoked potentials; Evolutionary algorithms; Wavelets

Indexed keywords

ALGORITHMS; RECORDING; SIGNAL PROCESSING; WAVEFORM ANALYSIS; WAVELET TRANSFORMS;

SOMATOSENSORY EVOKED POTENTIALS;

MEDICAL EDUCATION;

ALGORITHM; ARTICLE; EVOKED SOMATOSENSORY RESPONSE; LATENT PERIOD; PRIORITY JOURNAL; TECHNIQUE; WAVEFORM;

EID: 0037410496     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(03)00021-3     Document Type: Article

References (16)

1. Harrison SAB, Lovely DF. Identification of noise sources in surface recording of spinal somatosensory evoked potentials. Medical & Biological Engineering & Computing 1995;33:299-305.
2. Maccabee P.J., Pinkhasov E.I., Cracco R.Q. Short latency somatosensory evoked potentials to median nerve stimulation effect of low frequency filter. Electroencephalography and Clinical Neurophysiology. 55:1983;34-44.
3. Maclennan A.R., Lovely D.F. Reduction of evoked potential measurement by a TMS320 based adaptive matched-filter. Medical Engineering & Physics. 17:(4):1995;248-256.
4. LeBron Paige A., Ozdamar O., Delegado R.E. Two dimensional spectral processing of sequential evoked potentials. Medical & Biological Engineering & Computing. 34:1996;239-243.
5. Bartnik E.A., Blinowska K.J., Durka P.J. Single evoked potential reconstruction by means of wavelet transform. Biological Cybernetics. 67:1992;175-181.
6. Bertrand O., Bohorquez J., Pernier J. Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentials. IEEE Transactions of Biomedical Engineering. 41:(1):1994;77-88.
7. Blinowska K.J., Durka P.J. Introduction to wavelet analysis. British Journal of Audiology. 31:(6):1997;449-459.
8. Samar V.J., Swartz K.P., Raghuveer M.R. Multiresolution analysis of event-related potentials by wavelet decomposition. Brain and Cognition. 27:1995;398-438.
9. Quiroga RQ. Obtaining single stimulus evoked potentials with Wavelet Denoising 2000 [on-line] http://www.physio.mu-luebeck.de/user/rq/denoising1.ps.qz accessed on 3/7/2000.
10. Lankhorst MM, van der Lann MD. Wavelet-based Signal Approximation with Evolutionary algorithms 1994 [on-line] ftp://ftp.cs.rug.nl/pub/cs-reports/wavelets.ps.gz Accessed on 24/4/1999.
11. Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11:(7):1989;674-693.
12. Misiti M., Misiti Y., Oppenheim G., Poggi J. Wavelet toolbox user's guide. 1996;MathWorks, USA.
13. Donoho D.L., Johnstone I.M. Ideal spatial adaptation by wavelet shrinkage. Biometrika. 81:1994;425.
14. Donoho D.L., Johnstone I.M., Kerkyacharian G., Picard D. Wavelet shrinkage: asymptopia? Journal of the Royal Statistical Society B. 57:(2):1995;301-369.
15. Turner S.J., Picton P.D., Campbell J.A. Selecting filter banks to enhance evoked potentials recordings using evolutionary algorithms. Poli R., Voigt H.M., Cagnoni S., Corne D., Smith G.D., Fogarty T.C. Proceedings of the First European Workshops, EvoIASP'99 and EuroEcTel'99, Goteborg, Sweden, May 1999:1999;101-109 Springer-Verlag, Berlin.
16. Daubechies I. Ten lectures on wavelets. 1992;SIAM, U.S.A.