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Relationships between pathological patterns and vocal qualities estimated by acoustic parameters.

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Acoustic analysis reveals vocal characteristics can predict phlegm, yin deficiency, and cold-heat patterns. These vocal qualities, including pitch and tremor, offer insights into these traditional Chinese medicine patterns.

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Area of Science:

  • Integrative Medicine
  • Acoustic Phonetics
  • Traditional Chinese Medicine

Background:

  • Vocal characteristics are increasingly recognized for their potential diagnostic value.
  • Traditional Chinese Medicine (TCM) categorizes individuals into distinct patterns, such as phlegm, yin deficiency, and cold-heat.
  • Understanding the link between objective vocal measures and TCM patterns could offer novel diagnostic approaches.

Purpose of the Study:

  • To investigate the association between acoustic parameters of voice and phlegm, yin deficiency, and cold-heat patterns in college students.
  • To determine if vocal characteristics can serve as predictive markers for these TCM patterns.

Main Methods:

  • Seventy-five college students completed questionnaires for phlegm, yin deficiency, and cold-heat patterns.
  • Acoustic analysis was performed on sustained vowel sounds to measure parameters like fundamental frequency (F0), jitter, shimmer, and power ratio.
  • Hierarchical regression models were used to assess the predictive power of acoustic parameters, sex, and age on pattern scores.

Main Results:

  • Acoustic parameters, sex, and age significantly predicted phlegm, yin deficiency, and cold-heat pattern scores.
  • Vocal tremor (F0 tremor) and vocal ringing (power ratio) were associated with phlegm and yin deficiency patterns.
  • Vocal pitch (habitual F0, mean F0) was linked to heat and cold patterns, with higher pitch indicating susceptibility.

Conclusions:

  • Vocal characteristics estimated by acoustic parameters are partially predictive of phlegm, yin deficiency, heat, and cold patterns.
  • Sex and age demonstrated direct or moderating effects on phlegm and yin deficiency patterns.
  • These findings suggest that voice analysis holds potential for identifying individuals susceptible to specific TCM patterns.