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dc.contributor.authorde la Torre, Angel
dc.contributor.authorValderrrama, Joaquin T
dc.contributor.authorSegura, Jose C
dc.contributor.authorAlvarez, Isaac M
dc.date.accessioned2020-08-19T05:14:33Z
dc.date.available2020-08-19T05:14:33Z
dc.date.issued2020
dc.identifier.urihttps://dspace.nal.gov.au/xmlui/handle/123456789/1082
dc.description.abstractAuditory evoked potentials (AEPs) include the auditory brainstem response (ABR), middle latency response (MLR) and cortical auditory evoked potentials (CAEPs), each one covering a speci c latency range and frequency band. For this reason, ABR, MLR and CAEP are usually recorded separately using di erent protocols. This arti cle proposes a procedure providing a latency-dependent ltering and down-sampling of the AEP responses. This way, each AEP component is appropriately ltered, ac7 cording to its latency, and the complete auditory pathway response is conveniently represented (with the minimum number of samples, i.e., without unnecessary redun9 dancies). The compact representation of the complete response facilitates a compre10 hensive analysis of the evoked potentials (keeping the natural continuity related to the neural activity transmission along the auditory pathway), which provides a new per12 spective in the design and analysis of AEP experiments. Additionally, the proposed compact representation reduces the storage or transmission requirements when large databases are manipulated for clinical or research purposes. The analysis of the AEP responses shows that a compact representation with 40 samples/decade (around 120 samples) is enough for accurately representing the response of the complete auditory pathway and provides appropriate latency-dependent ltering. MatLab/Octave code implementing the proposed procedure is included in the supplementary materials.en_US
dc.language.isoenen_US
dc.publisherJournal of the Acoustic Society of Americaen_US
dc.titleLatency-dependent filtering and compact representation of the complete auditory pathway responseen_US
dc.typeArticleen_US


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