Software intelligent system for effective solutions for hearing impaired subjects

详细信息    查看全文

• 作者：Rajkumar S.p>ap>p> ; p>p>srk1670@yahoo.comp> (Head of the Department) ; Muttan S.p>bp> (Professor ; Head) ; Sapthagirivasan V.p>cp>p> ; p>p>ep> (Research Fellow) ; Jaya V.p>dp> (Speech Pathologist ; Audiologist) ; Vignesh S.S.p>dp> (Speech Pathologist ; Audiologist)
• 关键词：AC ; air conduction ; AGC ; automatic gain control ; ANN ; artificial neural network ; ANSI ; American National Standards Institute ; ASHA ; American Speech-Language Hearing Association ; BTE ; behind the ear ; DSL I/O ; desired sensation level input/output ; HL ; hearing level ; ISHA ; Indian Speech Hearing Association ; MDE ; mean differential error ; NAL- NL1 ; National Acoustics Laboratory - Non-linear 1 ; NAL- NL2 ; National Acoustics Laboratory - Non-linear 2 ; PB ; phonetically balanced ; PTA ; pure tone average ; R
• 刊名：International Journal of Medical Informatics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：97
• 期：Complete
• 页码：152-162
• 全文大小：2487 K
• 卷排序：97

文摘

A novel Software Intelligent System (SIS) is developed to perform audiological test without additional hardware requirements. SIS is developed to assess the degree of hearing loss and to suggest suitable hearing-aid gain values for impaired subjects. The trial-and-error time spent by audiologists and impaired subjects arriving at the solutions is significantly reduced. The findings suggest that the SIS could be used to perform mass audiological screening and gain recommendation for impaired. The proposed SIS is helpful for audiologists to identify the degree of hearing loss and for quick hearing-aid fixation.