Modelling and recognition of brainstem auditory evoked potentials using Symlet wavelet |
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| Authors: | A. Naï t-Ali, O. Adam,J. F. Motsch |
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| Affiliation: | Laboratoire d'étude et de recherche en instrumentation signaux et systèmes (LERISS), université Paris XII-Val-de-Marne, Bat. P2, 61, avenue du Général-de-Gaulle, 94010, Créteil, France |
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| Abstract: | In Brainstem Auditory Evoked Potentials (BAEPs) extraction systems, BAEP recognition by determining wave latencies I, II, III and IV/V is an importantant stage for pronostic assistance. We suggest in this paper a new approach for BAEP recognition. The recognition is based on modelling BAEP using wavelet transform; latencies are then automatically measured. We show that the application of a sixth-order Symlet wavelet gives good results. |
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| Keywords: | brainstem auditory evoked potentials BAEP latencies BAEP modelling BAEP recognition wavelet transform |
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