보청기용 범용 이어쉘을 위한 설계 파라미터에 관한 연구

다국어 초록 (Multilingual Abstract)

In this study, main parameters: aperture, first bend and second bend which express a structure of ear canal are extracted in order to modeling and manufacture the ready-made ear shells of hearing aids. The proposed parameter extraction method consists of 2 important algorithms, aperture detection and feature detection. In the aperture detection algorithm, aperture of 3-D scanned virtual ear impression and parameters relating to ear shell of hearing aid are determined. The feature detection algorithm detects first bend, second bend, and related parameters. Through these two algorithms, parameters for aperture, first bend, and second bend are extracted to model the ready-made ear shell of hearing aid. The values of these extracted parameters from 36 people’s right ear impression are analyzed and measured statistically. As a result of the analysis, it has been found that it is possible to classify ready-made ear shell parameters by age and size. The ready-made ear shell parameters are classified 3-size for 20 years old and 2-size for 60 years olde. Using 3D rhino program, virtual ready-made ear shell is reconstructed by parameters of every type, and simulated to model it. A final product was produced by transferring simulation result with rapid prototyping system. The modeled ready-made ear shell is evaluated with the objective and subjective method. Objective method is the comparison volume ratio and overlapped volume ratio of ear impression from randomly chosen 18 people and ready-made ear shell. And subjective method is that the final product of ready-made ear shell is used by users and the satisfaction number drawn from well fitting and comfortable testing was evaluated. In the result of the evaluation, it has been found that volume ration is 70%, big and middle size ready-made ear shell products are possible, and the satisfaction number is high.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 파라미터 도출 알고리즘
• 3. 실험 결과 및 평가
• 4. 결론
• 감사의 글
• 참고문헌
• 저자소개

참고문헌 (Reference)

1 허민정, "보청기와 인공와우 기기에 대한 대학생들의 인식 및 태도 : 보청기 효과와 인공와우 효과" 한국특수교육문제연구소 9 (9): 61-81, 2008

2 R. Oliveira, "The Dynamic Ear Canal and Its Implications" 2 (2): 18-19, 2005

3 R.R. Paulsen, "Shape Modeling Using Markov Random Field Restoration of Point Correspondences" 2732 : 1-12, 2003

4 G. Unal, "Nonparametric joint shape learning for customizes shape modeling" Comp. Med. Imaging Graph 10-, 2009

5 P.A.Johansen, "Measurement of the Human Ear Canal" 33 : 349-351, 1975

6 C. Pirzanski, "Ear canal dynamics:Facts versus perception" 58 (58): 2005

7 C.Pirzanski, "Despite new digital technologies,shell modelers shoot in the dark" 59 (59): 2006

8 R.M. Ghent, "Description, Rationale, and Efficacy of a Digital, Non-Custom, Instant-Fit CIC Hearing Aid" 2002

9 H.S. Jeong, "Changes in Resonance Frequency and Length of External Auditory Canal Related to the Age" 44 : 144-147, 2001

10 R. Paulsen, "Building and Testing a Statistical Shape Model of the Human Ear Canal" 01 (01): 373-380, 2002

11 A. Zouhar, "Anatomically Aware,Automatic,and Fast Registration of 3D Ear Impression" 240-247, 2006

12 T. Cootes, "Active shape models-their training and application" 61 : 38-59, 1995

13 R. Oliveira, "A Look at Ear Canal Changes with Jaw Motion" 13 (13): 464-466, 1992

14 보건복지가족부, "2008년도 국민건강영양조사"