Effectiveness of Selected Procedures of Hearing Aid Adaptation - Clinical Cases

Hojan‐Jezierska, Dorota; Olejnik, Anna

doi:10.12693/aphyspola.118.71

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…For individuals with normal hearing, the minimum (tip) of the PTC corresponds to the frequency of the tonal signal, and the PTC curve has a steep slope of the low-and high-frequency sides. In cases of damaged OHCs, a reduction of the frequency selectivity is usually observed [41,42]. It reduces the dynamic range of PTC considerably and decreases the PTC slope of the low-and high-frequency sides [43,44].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Contralateral Signal on Distortion Product Otoacoustic Emissions and Psychophysical Tuning Curves at 1 and 2 kHz

Wicher

2013

Acta Phys. Pol. A

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The main aim of this work was to determine the inuence of contralateral stimulation (CS) on the psychophysical tuning curves (PTCs) and distortion product otoacoustic emissions (DPOAEs). PTCs and DPOAEs were measured in two modes: in the presence or absence of CS. The contralateral signal was a wideband noise (bandwidth 0.210 kHz) at a level of 50 dB sound pressure level (SPL). The primary tones (F1 and F2) were presented at levels of L1 = 60 dB SPL, and L2 = 50 dB SPL. The signal frequency used in the measurements of the PTC was 1 kHz or 2 kHz. For both PTC signal frequencies the CS signicantly reduces the sharpness of the PTCs. The average change in level of DPOAE under the inuence of CS throughout the whole range of frequencies takes an eect of suppression. The CS has a signicant eect on decreasing the value of the quality factor (Q10Roex) of PTCs (F (1, 9) = 19.36, p = 0.002). The CS caused a decrease in the level of DPOAE in 88% of cases. The maximum suppression of the DPOAE level occurs for the F2 frequency from 1 kHz to 2 kHz.

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Section: Introductionmentioning

confidence: 99%

The Effect of Contralateral Signal on Distortion Product Otoacoustic Emissions and Psychophysical Tuning Curves at 1 and 2 kHz

Wicher

2013

Acta Phys. Pol. A

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“…The electro acoustical characteristics of the hearing aid have to be modified properly, so as to enhance the satisfaction level of different types of hearing impaired subjects [4][5][6][7][8][9]. Prescriptive procedures are standard set of protocols developed by different researchers in the past three decades, to suggest the suitable Real Ear Insertion Gain (REIG) values for different frequency bands of the digital hearing aid [10]. Though many linear and nonlinear prescriptive procedures were developed so far, the most successful prescriptive procedures in suggesting appropriate gain values include NAL-R, NAL-RP, POGO II, DSL I/O, FIG6, IHAFF, FIG6, NAL-NL1 and NAL-NL2.…”

Section: Introductionmentioning

confidence: 99%

Predicting Hearing Aid Gain Values for Enhancing the Speech Intelligibility Using Correlation Algorithm

Rajkumar¹,

Muttan²,

Jaya³

et al. 2015

ujbe

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The tranquil solution for the hearing impaired subjects to get rid of the impairment is to wear the appropriate hearing aid to increase the hearing level and clarity of the perceived speech. Though the present day hearing aids are inbuilt with a suitable noise removing algorithm to get a clear speech signal, the satisfaction among the users is low. The satisfaction of the hearing aid users will be enhanced only with the fixation of appropriate Real Ear Insertion Gain (REIG) values for different frequency bands of the perceived speech signal. Various prescriptive procedures were developed so far in prescribing these values. But, the strenuous task for the audiologists is in selecting the best procedure and to suggest required modifications. The present work focuses this problem faced by the audiologists by analyzing the various technical snags and arrived with suitable solutions. In the present work, an expert system was developed to predict gain values without the need of the prescriptive procedures and reduced the trial and error time of the audiologists. A gain suggestion database of the satisfied subjects was developed, and later it was used by the correlation algorithm in the gain prediction process. The successful gain suggestions of the most correlated subject for different frequencies in the database are recommended for the new subject. The developed expert system was validated by performing hearing aid trials with 256 hearing impaired subjects and 93.7% of them received satisfaction. The successful gain suggestions made by the expert system are stored continuously to strengthen the database, so as to recommend the most appropriate gain values for the new subject.

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Development of Improved Software Intelligent System for Audiological Solutions

Rajkumar¹,

Muttan

Sapthagirivasan

et al. 2018

J Med Syst

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Of late, there has been an increase in hearing impairment cases and to provide the most advantageous solutions to them is an uphill task for audiologists. Significant difficulty faced by the audiologists is in effective programming of hearing aids to provide enhanced satisfaction to the users. The main aim of our study was to develop a software intelligent system (SIS): (i) to perform the required audiological investigations for finding the degree and type of hearing loss, and (ii) to suggest appropriate values of hearing aid parameters for enhancing the speech intelligibility and the satisfaction level among the hearing aid users. In this paper, we present a Neuro-Fuzzy based SIS to automatically predict and suggest the hearing-aid parameters such as gain values, compression ratio and threshold knee point, which are needed to be fixed for different octave frequencies of sound inputs during the hearing-aid trial. The test signals for audiological investigations are generated through the standard hardware present in a personal computer system and with the aid of a software algorithm. The proposed system was validated with 243 subjects' data collected at the Government General Hospital, Chennai, India. The calculated sensitivity, specificity and accuracy of the proposed audiometer incorporated in the SIS were 98.6%, 96.4 and 98.2%, respectively, by comparing its interpretations with those of the 'gold standard' audiometers. Furthermore, 91% (221 of 243) of the hearing impaired subjects attained satisfaction in the first hearing aid trials itself with the gain values as recommended by the improved SIS. The proposed system reduced around 75% of the 'trial and error' time spent by audiologists for enhancing satisfactory usage of the hearing aid. Hence, the proposed SIS could be used to find the degree and type of hearing loss and to recommend hearing aid parameters to provide optimal solutions to the hearing aid users.

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Effectiveness of Selected Procedures of Hearing Aid Adaptation - Clinical Cases

Cited by 4 publications

References 7 publications

The Effect of Contralateral Signal on Distortion Product Otoacoustic Emissions and Psychophysical Tuning Curves at 1 and 2 kHz

The Effect of Contralateral Signal on Distortion Product Otoacoustic Emissions and Psychophysical Tuning Curves at 1 and 2 kHz

Predicting Hearing Aid Gain Values for Enhancing the Speech Intelligibility Using Correlation Algorithm

Development of Improved Software Intelligent System for Audiological Solutions

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