Non-negative matrix factorization improves the efficiency of recording frequency-following responses in normal-hearing adults and neonates.
One challenge in extracting the scalp-recorded frequency-following response (FFR) is related to its inherently small amplitude, which means that the response cannot be identified with confidence when only a relatively small number of recording sweeps are included in the averaging procedure. This stu...
| Publicado en: | International Journal of Audiology Vol. 62; no. 7; pp. 688 - 699 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=164705188&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164705188 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Jul2023 vid: 62 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 164705188 156700388 164705188 164705188 10.1080/14992027.2022.2071345 164705188 ppf: 688 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Non-negative matrix factorization improves the efficiency of recording frequency-following responses in normal-hearing adults and neonates. aug: au: Jeng, Fuh-Cherng Lin, Tzu-Hao Hart, Breanna N. Montgomery-Reagan, Karen McDonald, Kalyn affil: Communication Sciences and Disorders, Ohio University, Athens, OH, USA sug: subj: Algorithms Brain Stem Physiology Hearing Hearing Tests Infant, Newborn Language Speech Perception In Middle Age Multitrait-Multimethod Productivity Hearing Aid Care In Infancy and Childhood Hearing Aid Care In Adulthood Study Methods Human Adult Child Middle Age Pediatric Care Electrophysiology Microbiologic Phenomena Descriptive Statistics Infant, Newborn: birth-1 month Adult: 19-44 years Child: 6-12 years Middle Aged: 45-64 years ab: One challenge in extracting the scalp-recorded frequency-following response (FFR) is related to its inherently small amplitude, which means that the response cannot be identified with confidence when only a relatively small number of recording sweeps are included in the averaging procedure. This study examined how the non-negative matrix factorisation (NMF) algorithm with a source separation constraint could be applied to improve the efficiency of FFR recordings. Conventional FFRs elicited by an English vowel/i/with a rising frequency contour were collected. Study sample: Fifteen normal-hearing adults and 15 normal-hearing neonates were recruited. The improvements of FFR recordings, defined as the correlation coefficient and root-mean-square differences across a sweep series of amplitude spectrograms before and after the application of the source separation NMF (SSNMF) algorithm, were characterised through an exponential curve fitting model. Statistical analysis of variance indicated that the SSNMF algorithm was able to enhance the FFRs recorded in both groups of participants. Such improvements enabled FFR extractions in a relatively small number of recording sweeps, and opened a new window to better understand how speech sounds are processed in the human brain. pubtype: Academic Journal doctype: diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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