DocumentCode :
140540
Title :
ERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants
Author :
Piazza, C. ; Cantiani, C. ; Tacchino, G. ; Molteni, M. ; Reni, G. ; Bianchi, A.M.
Author_Institution :
Sci. Inst. IRCCS E. Medea, Bosisio Parini, Italy
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4591
Lastpage :
4594
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.
Keywords :
auditory evoked potentials; autoregressive processes; electroencephalography; medical signal processing; paediatrics; time-domain analysis; time-frequency analysis; EEG; ERP technique; adaptive autoregressive identification; delta-theta oscillation enhancement; event related potentials; infant rapid auditory processing; language acquisition; rapidly occurring auditory stimuli; spectral power decomposition; time domain analysis; time-frequency domain analysis; Brain modeling; Electroencephalography; Frequency modulation; Oscillators; Pediatrics; Scalp; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944646
Filename :
6944646
Link To Document :
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