| Project/Area Number |
63570824
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Otorhinolaryngology
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| Research Institution | School of Medicine, Tokai University (1989-1990)
University of Occupational and Environmental Health, Japan (1988) |
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Principal Investigator |
TAKYU Hiroshi School of Medicine TOKAI University Lecturer, 医学部, 講師 (00188129)
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| Co-Investigator(Kenkyū-buntansha) |
INOUE Jinro University of Occupational and Environmental Health, Japan Research Assistant, 助手 (00193590)
土生 秀明 産業医科大学, 医学部(耳鼻咽喉科), 助手 (80189597)
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| Project Period (FY) |
1988 – 1990
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| Project Status |
Completed (Fiscal Year 1990)
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| Budget Amount *help |
¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1990: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1989: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1988: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | Audiogram / Database / Syntactic Analysis / Mumps / 自動診断 / オージオグラム / データベース / 加齢表示 |
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| Research Abstract |
The authors have developed an automated computer-aided audiogram classification system which has the function of pattern recognition of audiograms by the syntactic analysis method. The system was developed on micro-computer and MUMPS language. This system compressed the audiogram pattern information by six characters strings. This strings could treat as the knowledge of the audiogram classification. Therefore, it is easy to standardize the audiogram classification.
This system evaluate the air-bone gap, the average hearing loss, and also detect and retrieve the characteristics of the audiogram in every 0.58 sec. The authors compared the judgment of this system and those of the physicians. There were not so much difference between the two judgments.
This new system can be effectively applied in screening audiometry of workmen's hearing loss in noisy environment and automated health testing.
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