Sound transducer calibration of ambulatory audiometric system utilizing delta learning rule

作     者：KIM Kyeong-seop SHIN Seung-won YOON Tae-ho LEE Sang-min LEE Insung RYU Keun ho 

作者机构：School of Biomedical Engineering Konkuk University Xiu Solution Co. Ltd. Department of Electronic Engineering Inha University Department of Radio Communication Engineering Chungbuk National University Database/Bioinformatics Lab Chungbuk National University 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2011年第18卷第6期

页      面：2009-2014页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：supported by the grant of the Korean Ministry of Education  Science and Technology (The Regional Core Research Program/Chungbuk BIT Research-Oriented University Consortium) 

主　　题：calibration audiometric system pure-tonal sound sound pressure level heating threshold delta learning rule 

摘      要：An efficient calibration algorithm for an ambulatory audiometric test system is proposed. This system utilizes a personal digital assistant (PDA) device to generate the correct sound pressure level (SPL) from an audiometric transducer such as an earphone. The calibrated sound intensities for an audio-logical examination can be obtained in terms of the sound pressure levels of pure-tonal sinusoidal signals in eight-banded frequency ranges (250, 500, 1 000, 2 000, 3 000, 4 000, 6 000 and 8 000 Hz), and with mapping of the input sound pressure levels by the weight coefficients that are tuned by the delta learning rule. With this scheme, the sound intensities, which evoke eight-banded sound pressure levels by 5 dB steps from a minimum of 25 dB to a maximum of 80 dB, can be generated without volume displacement. Consequently, these sound intensities can be utilized to accurately determine the hearing threshold of a subject in the ambulatory audiometric testing environment.