dc.contributor.author | Molteni, M. | |
dc.contributor.author | Piazza, C. | |
dc.contributor.author | Cantiani, C. | |
dc.contributor.author | Tacchino, G. | |
dc.contributor.author | Bianchi, A. M. | |
dc.contributor.author | Reni, G. | |
dc.date.accessioned | 2022-02-18T08:56:34Z | |
dc.date.available | 2022-02-18T08:56:34Z | |
dc.identifier.citation | Piazza 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.other | av_09e60b98-139a-47b6-afad-4f23fce200c1 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/176163 | |
dc.description.abstract | The 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.iso | eng | |
dc.subject | Biomedical Engineering | |
dc.subject | Engineering (miscellaneous) | |
dc.subject | General Engineering | |
dc.subject | Signal Processing | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Biyomedikal Mühendisliği | |
dc.subject | Sinyal İşleme | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Mühendislik | |
dc.subject | Bioengineering | |
dc.subject | Physical Sciences | |
dc.subject | MÜHENDİSLİK, BİYOMEDİKSEL | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Electrical and Electronic Engineering | |
dc.title | ERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants | |
dc.type | Bildiri | |
dc.contributor.department | Sci Inst IRCCS E Medea , , | |
dc.contributor.firstauthorID | 3381709 | |