Audioprofile Surfaces: The 21st Century Audiogram. (May 2016)

• Record Type: Journal Article
• Authors: Taylor, Kyle R.; Booth, Kevin T.; Azaiez, Hela; Sloan, Christina M.; Kolbe, Diana L.; Glanz, Emily N.; Shearer, A. Eliot; DeLuca, Adam P.; Anand, V. Nikhil; Hildebrand, Michael S.; Simpson, Allen C.; Eppsteiner, Robert W.; Scheetz, Todd E.; Braun, Terry A.; Huygen, Patrick L. M.; Smith, Richard J. H.; Casavant, Thomas L.
• Is Part Of: Annals of otology, rhinology & laryngology. Volume 125:Number 5(2016:May)
• Page Start: 361
• Page End: 368
• Publication Date: 2016-05
• Subjects: audiometric data -- audioprofile surfaces -- audiograms -- hearing loss; Otolaryngology -- Periodicals; 617.51
• DOI: 10.1177/0003489415614863
• Languages: English
• ISSNs: 0003-4894

Abstract

Objective: To present audiometric data in 3 dimensions by considering age as an addition dimension. Methods: Audioprofile surfaces (APSs) were fitted to a set of audiograms by plotting each measurement of an audiogram as an independent point in 3 dimensions with the x, y, and z axes representing frequency, hearing loss in dB, and age, respectively. Results: Using the Java-based APS viewer as a standalone application, APSs were pre-computed for 34 loci. By selecting APSs for the appropriate genetic locus, a clinician can compare this APS-generated average surface to a specific patient's audiogram. Conclusion: Audioprofile surfaces provide an easily interpreted visual representation of a person's hearing acuity relative to others with the same genetic cause of hearing loss. Audioprofile surfaces will support the generation and testing of sophisticated hypotheses to further refine our understanding of the biology of hearing.