Literature DB >> 9649081

Microphone and electroglottographic data from dysphonic patients: type 1, 2 and 3 signals.

A Behrman1, C J Agresti, E Blumstein, N Lee.   

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 or subharmonic 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 of some harmonic structure within the chaos. Irrespective of that difficulty, the results suggest that there may be a substantial incidence of nontype 1 signals in a given clinical population. It was concluded, therefore, that signal typing is a necessary step in the analyses of microphone and electoglottographic data.

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Mesh:

Year:  1998        PMID: 9649081     DOI: 10.1016/s0892-1997(98)80045-3

Source DB:  PubMed          Journal:  J Voice        ISSN: 0892-1997            Impact factor:   2.009


  5 in total

1.  Updating signal typing in voice: addition of type 4 signals.

Authors:  Alicia Sprecher; Aleksandra Olszewski; Jack J Jiang; Yu Zhang
Journal:  J Acoust Soc Am       Date:  2010-06       Impact factor: 1.840

2.  Using Rate of Divergence as an Objective Measure to Differentiate between Voice Signal Types Based on the Amount of Disorder in the Signal.

Authors:  William M Calawerts; Liyu Lin; J C Sprott; Jack J Jiang
Journal:  J Voice       Date:  2016-02-23       Impact factor: 2.009

3.  Nonlinear dynamic-based analysis of severe dysphonia in patients with vocal fold scar and sulcus vocalis.

Authors:  Seong Hee Choi; Yu Zhang; Jack J Jiang; Diane M Bless; Nathan V Welham
Journal:  J Voice       Date:  2012-04-18       Impact factor: 2.009

4.  Typing vocal fold vibratory patterns in excised larynx experiments via digital kymography.

Authors:  Yu Zhang; Christopher R Krausert; Michael P Kelly; Jack J Jiang
Journal:  Ann Otol Rhinol Laryngol       Date:  2009-08       Impact factor: 1.547

5.  Impact of Subharmonic and Aperiodic Laryngeal Dynamics on the Phonatory Process Analyzed in Ex Vivo Rabbit Models.

Authors:  Fabian Thornton; Michael Döllinger; Stefan Kniesburges; David Berry; Christoph Alexiou; Anne Schützenberger
Journal:  Appl Sci (Basel)       Date:  2019-05-13       Impact factor: 2.679

  5 in total

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