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Titolo:
MICROPHONE AND ELECTROGLOTTOGRAPHIC DATA FROM DYSPHONIC PATIENTS - TYPE-1, TYPE-2 AND TYPE-3 SIGNALS
Autore:
BEHRMAN A; AGRESTI CJ; BLUMSTEIN E; LEE N;
Indirizzi:
LONG ISL JEWISH MED CTR,VOICE & LARYNGEAL INST,DEPT OTOLARYNGOL & COMMUNICAT DISORDERS NEW HYDE PK NY 11040 CORNELL UNIV,MED CTR,NEW YORK HOSP,DEPT OTORHINOLARYNGOL NEW YORK NY 10021
Titolo Testata:
Journal of voice
fascicolo: 2, volume: 12, anno: 1998,
pagine: 249 - 260
SICI:
0892-1997(1998)12:2<249:MAEDFD>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
VOICE PERTURBATION MEASUREMENTS; SPEECH ANALYSIS SYSTEMS; TECHNICAL CONSIDERATIONS; EXTRACTION; CHAOS;
Keywords:
SIGNAL TYPE; NONLINEAR DYNAMICS; CHAOS; ELECTROGLOTTOGRAPHY; PERTURBATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Citazioni:
31
Recensione:
Indirizzi per estratti:
Citazione:
A. Behrman et al., "MICROPHONE AND ELECTROGLOTTOGRAPHIC DATA FROM DYSPHONIC PATIENTS - TYPE-1, TYPE-2 AND TYPE-3 SIGNALS", Journal of voice, 12(2), 1998, pp. 249-260

Abstract

Recently, it has been suggested that statistics which are dependent upon the reliable extraction of a single fundamental period, such as jitter and shimmer, are valid only for nearly periodic signals. This study explored the incidence of nearly periodic and nonperiodic microphone and electroglottographic signals obtained from 202 dysphonic patients. It was found that approximately 42% were type 1 (nearly periodic); approximately 35% were type 2 (containing bifurcations, modulations orsubharmonic structure); and approximately 22% were type 3 (chaotic). Discriminating between type 2 and 3 signals was very difficult for 40%of the signals which were ultimately rated type 3. This was due to the brevity of the apparently chaotic segment, and/or the persistence ofsome harmonic structure within the chaos. Irrespective of that difficulty, the results suggest that there may be a substantial incidence ofnontype 1 signals in a given clinical population It was concluded, therefore, that signal typings is a necessary step in the analyses of microphone and electoglottographic data.

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Documento generato il 27/11/20 alle ore 04:24:49