SISI(Short Increment Sensitivity Index) test is to identify recruitment phenomenon that is used to diagnose detailed lesion of sensory-neural hearing loss. This paper describes SISI test software implemented to personal computer(PC). This software supports two test modes, consisting of auto-mode and manual-mode, which are classified according to whether or not audiologist to lead test, thereby enabling cost effective test. In addition, it has been designed to perform automatic masking in case of necessity. And by supporting not only 1dB increment but also 2 and 5dB increment, SISI test program of this paper makes it possible to acquire more accurate test result Key Words : Short Increment Sensitivity Index, PC based Audiometer, Automatic Masking
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. This paper describes an Auto ABLB test software. This software automatically decides test frequency and intensity of first test tone. And it supports an automatic algorithm that analyses the subject's reponses in the current step and then decides intensity of tone provided in next step. Also, this software supports an interface to control and monitor subject's ABLB test. The assessment result is represented by a ladder diagram. The output of this software has been verified using a digital oscilloscope.
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.
To evaluate whether or not their product is in conformity with its drawing, today's factories manufacturing rubber and/or plastic products use manual process. In manual conformity inspection process, a person decides conformity as comparing drawing to image of product with his eyes. The manual process is tedious and time-consuming in addition that it is impossible to automatically record various informations related to inspection. To solve such problems, this paper proposes automatic drawing conformity inspection system based on computer vision technologies such as image feature matching and bilinear interpolation. The test results show that proposed system is a lot faster when comparing with manual system.
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