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Med J Tabriz Uni Med Sciences Health Services. 2015;36(6): 22-27.
  Abstract View: 563
  PDF Download: 225

Original Article

Evaluation of Voice Features in Patients with Multiple Sclerosis: Comparison with Normal Population

Sara Heydari 1, Peyman Zamani 2*, Hasan Khorramshahi 2, Seyedeh Maryam Mousavi 3

1 Speechtherapy Dept, School of Rehabilitation, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
2 Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
3 Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
*Corresponding Author: Email: zamanip@ajums.ac.ir

Abstract

Background and Objectives: Multiple Sclerosis (MS) is a progressive neurologic disorder characterized by wide clinical features. Some voice features and signs of these patients are used by speech therapists for differential diagnosis for its speech disorders. The aim of present study was to compare some vocal and respiratory indices of MS patients with normal subjects in Ahvaz city. Material & Methods: In this cross-sectional analytic study, 30 patients with Multiple Sclerosis and 30 normal subjects (aged between 21 to 50 years) were compared based on Fundamental frequency (F0) and Maximum Phonation Time (MPT). Dr.Speech software was used for speech analysis and SPSS program was applied for data analysis. Results: Mean of fundamental frequency in male and female patients was 130.53±68.11 and 194.91±33.12 Hz, respectively; and also mean of maximum phonation time in male and female patients was 11.25±2.71 and 9.21±2.32 seconds, respectively. Also, mean of fundamental frequency in male and female was 135.62±46.25 and 217.16±17.21 Hz, respectively; and mean of maximum phonation time in normal subjects was 23.73±3.62 and 19.30±3.44 seconds, respectively. Patients with MS had lower scores and significant differences than the control group in all the studied variables (p<0.001). Conclusion: It seems that variations of F0 and MPT are two respiro-vocal features that could be used for speech features differential diagnosis of MS patients from normal subjects.
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Submitted: 20 Dec 2013
Accepted: 10 Feb 2014
ePublished: 25 Feb 2015
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