ERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants

التفاصيل البيبلوغرافية
العنوان: ERP and adaptive autoregressive identification with spectral power decomposition to study rapid auditory processing in infants
المؤلفون: Caterina Piazza, Chiara Cantiani, Massimo Molteni, Giulia Tacchino, Gianluigi Reni, Anna M. Bianchi
المصدر: EMBC
بيانات النشر: IEEE, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Male, Auditory perception, medicine.diagnostic_test, Hearing Tests, Speech recognition, Infant, Electroencephalography, Language Development, Identification (information), Delta Rhythm, Autoregressive model, Event-related potential, Modulation (music), Auditory Perception, Evoked Potentials, Auditory, medicine, Humans, Female, Domain analysis, Time domain, Theta Rhythm, Psychology
الوصف: 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.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4adc075e0fb6333d230fd5d1a014aeTest
https://doi.org/10.1109/embc.2014.6944646Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....3e4adc075e0fb6333d230fd5d1a014ae
قاعدة البيانات: OpenAIRE