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Titolo:
AUTOMATIC-ANALYSIS OF AUDIOGRAMS IN EPIDE MIOLOGIC SURVEILLANCE
Autore:
JOB A; DELPLACE F; ARVERS P; GORZERINO P; GRATEAU P; PICARD J;
Indirizzi:
SERV SANTE ARMEES,CTR RECH,24 AVE MAQUIS GRESIVAUDAN F-38702 LA TRONCHE FRANCE
Titolo Testata:
Revue d'epidemiologie et de sante publique
fascicolo: 5, volume: 41, anno: 1993,
pagine: 407 - 415
SICI:
0398-7620(1993)41:5<407:AOAIEM>2.0.ZU;2-M
Fonte:
ISI
Lingua:
FRE
Keywords:
AUDIOMETRY; IMPULSE NOISE; PRINCIPAL COMPONENT ANALYSIS; HEARING LOSS; EPIDEMIOLOGIC SURVEILLANCE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
NO
Recensione:
Indirizzi per estratti:
Citazione:
A. Job et al., "AUTOMATIC-ANALYSIS OF AUDIOGRAMS IN EPIDE MIOLOGIC SURVEILLANCE", Revue d'epidemiologie et de sante publique, 41(5), 1993, pp. 407-415

Abstract

We have developed a method for the assessment of auditive loss using a sample of 1794 Bekesy audiograms recorded in young military students. A rectangular digital filter was used to smooth rough audiogram signals so as to detect pathological patterns such as scotoms and recruitments. Three factors were extracted from principal component analysis. They were correlated with the usual auditory indices and explained 70%of the total observed variance. The first factor is a general indicator of deafness, while the second and third describe the shapes of the hearing threshold level (asymmetry and convexity). This method can be used for rapid identification of suspect audiograms and is thus of value for epidemiological surveillance of populations exposed to impulsive noise.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/10/20 alle ore 14:06:34