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dc.contributor.authorMolteni, M.
dc.contributor.authorPiazza, C.
dc.contributor.authorCantiani, C.
dc.contributor.authorTacchino, G.
dc.contributor.authorBianchi, A. M.
dc.contributor.authorReni, G.
dc.date.accessioned2022-02-18T08:56:34Z
dc.date.available2022-02-18T08:56:34Z
dc.identifier.citationPiazza C., Cantiani C., Tacchino G., Molteni M., Reni G., Bianchi A. M. , "ERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants", 36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Illinois, Amerika Birleşik Devletleri, 26 - 30 Ağustos 2014, ss.4591-4594
dc.identifier.otherav_09e60b98-139a-47b6-afad-4f23fce200c1
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/176163
dc.description.abstractThe ability to process rapidly-occurring auditory stimuli plays an important role in the mechanisms of language acquisition. For this reason, the research community has begun to investigate infant auditory processing, particularly using the Event Related Potentials (ERP) technique. In this paper we approach this issue by means of time domain and time-frequency domain analysis. For the latter, we propose the use of Adaptive Autoregressive (AAR) identification with spectral power decomposition. Results show EEG delta-theta oscillation enhancement related to the processing of acoustic frequency and duration changes, suggesting that, as expected, power modulation encodes rapid auditory processing (RAP) in infants and that the time-frequency analysis method proposed is able to identify this modulation.
dc.language.isoeng
dc.subjectBiomedical Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectGeneral Engineering
dc.subjectSignal Processing
dc.subjectMühendislik ve Teknoloji
dc.subjectBiyomedikal Mühendisliği
dc.subjectSinyal İşleme
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik
dc.subjectBioengineering
dc.subjectPhysical Sciences
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectElectrical and Electronic Engineering
dc.titleERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants
dc.typeBildiri
dc.contributor.departmentSci Inst IRCCS E Medea , ,
dc.contributor.firstauthorID3381709


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