A Bayesian perspective on tinnitus pitch matching

Garnett P. McMillan, Emily J. Thielman, Krystyn Wypych, James Henry

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Objectives: New tinnitus therapies are being developed and marketed that target the patient's tinnitus frequency. This frequency is estimated clinically by pitch matching, which has the patient identify the pure tone that is closest to the perceived tinnitus frequency. Though widely used, pitch matching is heavily criticized as unreliable, and the degree of reliability varies among patients. At the very least, it is recommended that multiple pitch matches be used to identify the patient's tinnitus frequency. Even so, it is not clear how many pitch matches to collect, how they should be combined, or how doing so will enhance the audiologist's certainty about the true tinnitus frequency. In this article, we describe a simple Bayesian method of sequentially combining pitch matches until acceptable precision is achieved and illustrate the method in 10 patients with chronic tinnitus. Design: Subjects were recruited from previous study participants and support group attendees at the National Center for Rehabilitative Auditory Research. Thirty tinnitus pitch matches were elicited from 10 patients with chronic, monotonal tinnitus. Results: A Bayesian sequential analysis yielded estimated tinnitus frequencies for 7 patients that were within one-quarter octave of their true value with 90% certainty. Between four and twenty pitch matches were required to achieve acceptable results in these seven patients. Conclusions: Despite criticism, pitch matching is widely used to estimate tinnitus frequency. We address reliability concerns with a Bayesian sequential analysis to jointly estimate tinnitus frequency and reliability. The method is easily applied.

Original languageEnglish (US)
Pages (from-to)687-694
Number of pages8
JournalEar and Hearing
Volume35
Issue number6
StatePublished - 2014

Fingerprint

Tinnitus
Bayes Theorem
Self-Help Groups

Keywords

  • Hearing disorders
  • Loudness matching
  • Loudness perception
  • Pitch matching
  • Pitch perception
  • Rehabilitation
  • Reliability of results
  • Tinnitus
  • Tinnitus diagnosis

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Speech and Hearing
  • Medicine(all)

Cite this

McMillan, G. P., Thielman, E. J., Wypych, K., & Henry, J. (2014). A Bayesian perspective on tinnitus pitch matching. Ear and Hearing, 35(6), 687-694.

A Bayesian perspective on tinnitus pitch matching. / McMillan, Garnett P.; Thielman, Emily J.; Wypych, Krystyn; Henry, James.

In: Ear and Hearing, Vol. 35, No. 6, 2014, p. 687-694.

Research output: Contribution to journalArticle

McMillan, GP, Thielman, EJ, Wypych, K & Henry, J 2014, 'A Bayesian perspective on tinnitus pitch matching', Ear and Hearing, vol. 35, no. 6, pp. 687-694.
McMillan GP, Thielman EJ, Wypych K, Henry J. A Bayesian perspective on tinnitus pitch matching. Ear and Hearing. 2014;35(6):687-694.
McMillan, Garnett P. ; Thielman, Emily J. ; Wypych, Krystyn ; Henry, James. / A Bayesian perspective on tinnitus pitch matching. In: Ear and Hearing. 2014 ; Vol. 35, No. 6. pp. 687-694.
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