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http://dx.doi.org/10.5762/KAIS.2010.11.7.2586

Development of Automatic Calibration System for PC-Based Pure Tone Audiometer  

Kim, Jin-Dong (Department of Biomedical Engineering, School of Medicine, Pusan National University)
Kang, Deok-Hun (Department of Otolaryngology, School of Medicine, Pusan National University)
Song, Bok-Deuk (Department of Biomedical Engineering, College of Natural Resource and Life Science, Pusan National University)
Lee, Il-Woo (Department of Otolaryngology, School of Medicine, Pusan National University)
Kong, Soo-Keun (Department of Otolaryngology, School of Medicine, Pusan National University)
Kwon, Soon-Bok (Department of Linguistics College of Humanities, Pusan National University)
Jeon, Gye-Rok (Department of Biomedical Engineering, School of Medicine, Pusan National University)
Shin, Bum-Joo (Department of Biomedical Engineering, College of Natural Resource and Life Science, Pusan National University)
Wang, Soo-Geun (Department of Otolaryngology, School of Medicine, Pusan National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.7, 2010 , pp. 2586-2594 More about this Journal
Abstract
A pure tone audiometer should be able to produce both pure tone and masking noise with exact sound pressure level and frequency. For such purpose, it is unavoidable to periodically calibrates pure tone audiometer. However, manual acoustic calibration requires not only attention but also long time. It is possible to execute automatically calibration using software if it is PC-based pure tone audiometer. In this paper, we describe auto-calibration software for PC-based pure tone audiometer and dedicated sound level meter which has been implemented upon PC by us. To verify auto-calibration module, we examine whether output of PC-based audiometer calibrated through auto-calibration of this paper satisfies RETSPL of IEC or not.
Keywords
Acoustic calibration; PC-based pure tone audiometer; auto-calibration module;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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