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Related Experiment Videos

Long-term phonatory instability in individuals with multiple sclerosis

L Hartelius1, E H Buder, E A Strand

  • 1Göteborg University, Sweden.

Journal of Speech, Language, and Hearing Research : JSLHR
|November 5, 1997
PubMed
Summary
This summary is machine-generated.

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This study introduces a novel method to analyze speech instability in multiple sclerosis (MS) patients. The new approach effectively differentiates MS speakers from healthy individuals by identifying specific vocal frequency patterns.

Area of Science:

  • Speech Science
  • Neurology
  • Biomedical Engineering

Background:

  • Multiple sclerosis (MS) can cause significant phonatory instability.
  • Quantifying long-term vocal instability in MS is crucial for diagnosis and management.
  • Existing methods may not fully capture the nuances of MS-related speech changes.

Purpose of the Study:

  • To develop and validate a new approach for quantifying long-term phonatory instability in individuals with MS.
  • To compare different analytical methods for detecting vocal instabilities.
  • To identify specific frequency bands associated with MS-related phonatory dysfunction.

Main Methods:

  • Recorded sustained vowel phonations from 20 individuals with MS and 20 healthy controls.
  • Performed frequency (f0) and intensity analysis.

Related Experiment Videos

  • Utilized spectral analysis with Fast Fourier Transform (FFT).
  • Applied three instability analysis methods: coefficients of variation, spectral energy magnitude, and spectral component frequency analysis.
  • Conducted linear discriminant analysis on frequency-based measures.

    • Main Results:

    • All analyzed measures reliably distinguished between individuals with MS and controls.
    • Frequency-based measures, particularly when analyzed using linear discriminant analysis, were highly effective.
    • Specific critical frequency bands of instability (wow, tremor, flutter) were identified in the MS group.

    Conclusions:

    • The novel approach effectively quantifies phonatory instability in MS.
    • Frequency-based spectral analysis provides reliable biomarkers for distinguishing MS speech.
    • Identification of specific instability frequencies (wow, tremor, flutter) aids in understanding MS-related vocal changes.