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http://dx.doi.org/10.4313/JKEM.2011.24.6.519

Auto ABLB Audiometry System Supporting One-to-many Model  

Song, Bok-Deuk (Department of Applied IT & Engineering, College of Natural Resource and Life Science, Pusan National University)
Kang, Deok-Hun (Department of Applied IT & Engineering, College of Natural Resource and Life Science, Pusan National University)
Shin, Bum-Joo (Department of Applied IT & Engineering, College of Natural Resource and Life Science, Pusan National University)
Kim, Jin-Dong (Department of Medical Engineering, School of Medicine, Pusan National University)
Jeon, Gye-Rok (Department of Medical Engineering, School of Medicine, Pusan National University)
Wang, Soo-Geun (Department of Otolaryngology, School of Medicine, Pusan National University)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.24, no.6, 2011 , pp. 519-524 More about this Journal
Abstract
ABLB (alternate binaural loudness balance) test is one of the medical assessments to diagnose detailed lesion of sensory-neural hearing loss based on a recruitment phenomenon. However, current ABLB audiometry takes an operational model, so called face-to-face model, in which model one audiometrist can assess only one subject at a time. As a result, this face-to-face model leads to expensive audiometrist's labor cost and lengthy wait when there exist many subjects. As a solution, this paper suggests an ABLB audiometry system supporting one-to-many model in which model an audiometrist enables to assess several subjects concurrently. By providing such capabilities as real-time transfer of assessment result, video monitoring of subject and video chat, this solution can provide same effect as face-to-face model but overcome weakness of the existing face-to-face model.
Keywords
ABLB audiometry; Face-to-face model; One-to-many model; Client/server model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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