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Relevant bibliographies by topics / Audiometry

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Academic literature on the topic 'Audiometry'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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Journal articles on the topic "Audiometry"

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Frampton, M. C., and R. T. Counter. "A comparison of Self-Recording Audiometry in Naval Establishments and Clinical Audiometry in a Hospital setting." Journal of The Royal Naval Medical Service 75, no. 2 (1989): 99–104. http://dx.doi.org/10.1136/jrnms-75-99.

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AbstractFollowing the introduction of self-recording audiometers into regular use in non-hospital Royal Naval medical facilities, there has been an increase in the rate of detection of hearing losses and consequent referral for formal audiometry and ENT evaluation at Naval Hospitals. Forty-two sets of audiograms have been examined and the hearing thresholds obtained by the two methods compared. The value of self-recording audiometry even in the often imperfect audiometric conditions available in a Naval sick bay has been confirmed and the midpoint of the tracing established as a reliable indicator of the hearing threshold.

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Calandruccio, Lauren, and Daniel Weidman. "Online Simulation Education for Audiometry Training." American Journal of Audiology 31, no. 1 (2022): 1–10. http://dx.doi.org/10.1044/2021_aja-21-00121.

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Purpose: The purpose of this clinical focus article was to describe a new online simulation program for pure-tone audiometry. Method: Fictional but realistic patient profiles and testing environments were created to teach students about hearing screening protocols and pure-tone audiology. The diversity of the demographics of the United States is represented throughout the program. The web app was created using HTML/JS/CSS with a Flask server backend and MySQL database. Results: The program allows students to learn the process of conducting a hearing screening and measuring audiometric thresholds using a web-based virtual clinical audiometer. The virtual audiometer includes standard audiometer features and allows for instruction based on standard guidelines. The diversity of the patients within the simulation program allows for discussions of diversity to be woven throughout the curriculum. Conclusions: The new simulation program is designed for use as a clinical training tool enabling undergraduate and graduate students to actively participate in hearing screening testing and pure-tone audiometry using any web browser. The program is also designed with the intent to improve pedagogical outcomes at the undergraduate and graduate level for communication sciences and disorders education for pure-tone audiometry by providing instructors with content that focuses on the diversity that is represented in the demographics of the United States.

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Lieberth, Ann K., and Douglas R. Martin. "The Instructional Effectiveness of a Web-Based Audiometry Simulator." Journal of the American Academy of Audiology 16, no. 02 (2005): 079–84. http://dx.doi.org/10.3766/jaaa.16.2.3.

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With distance learning becoming more of a reality than a novelty in many undergraduate and graduate training programs, web-based clinical simulations can be identified as an instructional option in distance education that has both a sound pedagogical foundation and clinical relevance. The purpose of this article is to report on the instructional effectiveness of a web-based pure-tone audiometry simulator by undergraduate and graduate students in speech-language pathology. Graduate and undergraduate majors in communication sciences and disorders practiced giving basic hearing tests on either a virtual web-based audiometer or a portable audiometer. Competencies in basic testing skills were evaluated for each group. Results of our analyses of the data indicate that both undergraduate and graduate students learned basic audiometric testing skills using the virtual audiometer. These skills were generalized to basic audiometric testing skills required of a speech language pathologist using a portable audiometer.

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P., Pandi Renganath, and Vidya Ramkumar. "Validation of web-based audiometry version of HEARZAP." PLOS ONE 18, no. 3 (2023): e0283519. http://dx.doi.org/10.1371/journal.pone.0283519.

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Aim The purpose of this study was to verify the accuracy of the web-based audiometer HEARZAP in determining hearing thresholds for both air and bone conduction. Method Using a cross-sectional validation design, the web-based audiometer was compared to a gold standard audiometer. Participants in the study totaled 50 (100 ears), of which 25 (50 ears) had normal hearing sensitivity and 25 (50 ears) had various types and degrees of hearing loss. All subjects underwent pure tone audiometry, including air and bone conduction thresholds, using the web-based and gold standard audiometers in a random order. A pause between the two tests was allowed if the patient felt comfortable. The testing for the web-based audiometer and gold standard audiometer was done by two different audiologists with similar qualifications in order to eliminate tester bias. Both the procedures were performed in a sound treated room. Results For air conduction thresholds and bone conduction thresholds, respectively, the mean discrepancies between the web-based audiometer and the gold standard audiometer were 1.22 dB HL (SD = 4.61) and 0.8 dB HL (SD = 4.1). The ICC for air conduction thresholds between the two techniques was 0.94 and for the bone conduction thresholds was 0.91. The Bland Altman plots likewise indicated excellent reliability between the two measurements, with the mean difference between the HEARZAP and the gold standard audiometry falling within the top and lower limits of agreement. Conclusion The web-based audiometry version of HEARZAP produced precise findings for hearing thresholds that were comparable to those obtained from an established gold standard audiometer. HEARZAP, has the potential to support multi-clinic functionality and enhance service access.

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Ashilah, Naomi, Yuniar Syahadhatin, Ainun Nadiroh, Nyilo Purnami, and Dhany Arifianto. "Evaluation omn three-forced choice audiometry for hearing threshold measurement." Journal of the Acoustical Society of America 152, no. 4 (2022): A198. http://dx.doi.org/10.1121/10.0016017.

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Common audiometry used in hospitals uses the 2AFC (Two Force Choice) method, which has a large and predictable bias. In this research, the three-force choice (3AFC) method is proposed for a smaller bias to measure hearing threshold. A hearing test was conducted on 50 participants. Three kinds of audiometric tests are used, including conventional, Pychoacoustic, and portable audiometry. A validation test was carried out by comparing the results of Pychoacoustic and portable audiometric tests using the 3AFC method with the golden standard (conventional audiometry). Pychoacoustic audiometry is unable to display the hearing threshold value in accordance with that shown by golden standard audiometry (conventional audiometry), where the mean value is 18.0–43.0, and standard deviation is 7–12 . However, the portable audiometry test is able to display a threshold value that is close to the golden standard audiometric results, with a mean value of 11—28, and standard deviation value of 3—6 . Based on the statistical calculation of the Wilcoxon test and Bonferroni's correction, it can be concluded that data collection using Pychoacoustic outdoors and Portable in the relevant room has performance that is parallel to the golden standard test (sig value >0.05).

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Jung, Eun Kyung, Young Mi Choi, Eun Jung Kim, Sungsu Lee, and Hyong-Ho Cho. "Development of Sound Field Audiometry System for Small Audiometric Booths and Comparison of Its Equivalence With Traditional System." Clinical and Experimental Otorhinolaryngology 13, no. 1 (2020): 29–35. http://dx.doi.org/10.21053/ceo.2019.00577.

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Objectives. Sound field (SF) audiometry tests are usually conducted in audiometric booths measuring greater than 2×2 m in size. However, most private ENT clinics carry about 1×1-m-sized audiometric booths, making SF audiometry testing difficult to perform. The aims of this study were to develop an SF audiometry system for use in smaller audiometric booths and compare its performance with traditional system.Methods. The newly developed SF audiometry system can yield an SF signal at a distance of about 30 cm from the subject’s ears. Its height can be adjusted according to the subject’s head height. We compared SF hearing results between the new SF system and the traditional SF audiometry system in 20 adults with normal hearing (40 ears) and 24 adults with impaired hearing levels (38 ears) who wore hearing aids. Comparative parameters included warble tone audiometry threshold, a speech reception threshold (SRT), and a speech discrimination score (SDS). For statistical analysis, paired t-test was used. The equivalence of both SF systems was tested using two one-sided test (TOST) with a margin of 5 dB (normal hearing participants) and 10 dB (hearing aids wearing participants).Results. Among participants with normal hearing, warble tone hearing thresholds of 0.5, 1, 2, and 4 kHz, average values of these four frequencies, and SRT were similar between the two systems (all <i>P</i>>0.05). Participants with hearing aids showed similar warble tone threshold and SRT (<i>P</i>>0.05) in both systems except for threshold of 4 kHz (<i>P</i>=0.033). SDS was significantly higher in the newly developed system (<i>P</i><0.05). TOST results showed equivalent SF audiometry results using either system.Conclusion. Audiometric results of the newly developed SF audiometry system were equivalent to those of a traditional system. Therefore, the small SF audiometry system can be used at small audiometric booths present in most private ENT clinics.

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Swanepoel, De Wet, Dirk Koekemoer, and Jackie Clark. "Intercontinental hearing assessment – a study in tele-audiology." Journal of Telemedicine and Telecare 16, no. 5 (2010): 248–52. http://dx.doi.org/10.1258/jtt.2010.090906.

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We evaluated the validity of remote pure tone audiometric testing conducted from North America on subjects in South Africa. Desktop-sharing computer software was used to control an audiometer in Pretoria from Dallas, and PC-based videoconferencing was employed for clinician and subject communication. Thirty adult subjects were assessed, and the pure tone audiometric thresholds (125–8000 Hz) obtained through conventional face-to-face and remote testing were compared. Face-to-face and remote audiometry thresholds differed by 10 dB in only 4% of cases overall. The limits of agreement between the two techniques were −8 and 7 dB with a 90% confidence interval of −5 to 5 dB. The average reaction times to stimulus presentations were similar, within −108 and 121 ms. The average test duration was 21% longer for remote testing (10.4 vs. 8.2 min). There were no clinically significant differences between the results obtained by remote intercontinental audiometric testing and conventional face-to-face audiometry. It may therefore be possible to expand the reach of audiological services into remote underserved regions of the world.

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Sheffield, Benjamin, Devon Kulinski, Jaclyn Schurman, et al. "Increasing Hearing Readiness Using Boothless Audiometry." Military Medicine 188, Supplement_6 (2023): 529–35. http://dx.doi.org/10.1093/milmed/usad224.

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ABSTRACT Introduction U.S. Army regulations require all soldiers to undergo annual audiometric testing to maintain hearing readiness. The standard method of monitoring hearing in the DoD is via multi-person testing in sound-treated booths using the Defense Occupational and Environmental Health Readiness System—Hearing Conservation. COVID-19 significantly hindered the standard method, resulting in alarming declines in hearing readiness. In response, the Army Hearing Program initiated a pilot program to use boothless audiometers to supplement standard methods to increase hearing readiness. Materials and Methods Funding from the Coronavirus Aid, Relief, and Economic Security Act was used to purchase 169 boothless audiometers and increase staffing at dozens of Army Hearing Program clinics. Standard operating procedures were established for audiometric testing outside the booth using a process matching standard test parameters (i.e., test frequencies, tone characteristics, and interstimulus intervals). Additional capabilities developed to leverage this new technology during the annual hearing exam include the administration of automated contralateral masking, enhanced tinnitus screening, and hearing health education and training. Results Monitoring audiometry using boothless audiometers has been conducted for nearly 12,000 service members worldwide. Thresholds obtained via boothless audiometers are comparable to follow-up thresholds obtained from the standard test methods in the booth (mean difference 95% CI, −1.2, 0.9), and hearing readiness has returned to pre-pandemic levels at installations where this novel technology is being used regularly. Conclusions Significant reductions in patient encounters as a direct result of the COVID-19 pandemic have led to innovative solutions leveraging boothless audiometers. While this has aided the primary mission to maintain a medically ready force, innovations from this endeavor highlight several additional improvements relative to current standards of care that should be considered for permanent inclusion in DoD Hearing Conservation Programs.

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Guo, Zhenyu, Guangzheng Yu, Huali Zhou, Xianren Wang, Yigang Lu, and Qinglin Meng. "Utilizing True Wireless Stereo Earbuds in Automated Pure-Tone Audiometry." Trends in Hearing 25 (January 2021): 233121652110573. http://dx.doi.org/10.1177/23312165211057367.

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True wireless stereo (TWS) earbuds have become popular and widespread in recent years, and numerous automated pure-tone audiometer applications have been developed for portable devices. However, most of these applications require specifically designed earphones to which the public may not have access. Therefore, the present study investigates the accuracy of automated pure-tone audiometry based on TWS earbuds (Honor FlyPods). The procedure for developing an automated pure-tone audiometer is reported. Calibration of the TWS earbuds was accomplished by electroacoustic measurements and establishing corrected reference equivalent threshold sound pressure levels. The developed audiometer was then compared with a clinical audiometer using 20 hearing-impaired participants. The average signed and absolute deviations between hearing thresholds measured using the two audiometers were 3.1 dB and 6.7 dB, respectively. The overall accuracy rate in determining the presence/absence of hearing loss was 81%. The results show that the proposed procedure for an automated air-conduction audiometer based on TWS earbuds is feasible, and the system gives accurate hearing level estimation using the reported calibration framework.

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Cho, Wan-Ho, Jihyun Lee, Young Joon Seo, et al. "Improving Accuracy and Reliability of Hearing Tests: Measurement Standards for Audiometric Devices." Journal of Audiology and Otology 28, no. 3 (2024): 167–75. http://dx.doi.org/10.7874/jao.2024.00227.

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Pure-tone audiometry, using an audiometer, is the fundamental hearing test for diagnosing hearing loss. The requirements of the devices and the detailed process for calibrating the related equipment are described in international standards. However, traceable calibration and uncertainty evaluation processes are not widely accepted or applied to the qualification and maintenance of audiometric equipment. Here, we briefly review standard measurement systems for audiometric devices and introduce their calibration procedures. The uncertainty of each calibration process was investigated, and its impact on hearing test results was considered. Our findings show that the traceability of each procedure can be secured, satisfying the uncertainty requirement and being sufficiently smaller than the permissible deviation from the audiometer requirement. To guarantee the objectivity and reliability of hearing tests and maintain low uncertainty, close cooperation and mutual understanding between the metrology field and the medical community are necessary.

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Dissertations / Theses on the topic "Audiometry"

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Goemans, Brian. "Audiometry environment remote control system to assist in paedo-audiometry." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/25810.

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Blahák, Petr. "Audiometr pro audiometrii čistými tóny." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218668.

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Human hearing is to collect information from the outside world and is one of the basic human senses. Part of this thesis is devoted to acoustics, properties of the human ear in terms of perception of sounds and methods, which human ears are investigating. Audiometer is an instrument which is most often used in healthcare. The main content of this thesis is to design pure tone audiometer, which is important for the subjective tests of human hearing non-invasive method.

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Øygarden, Jon. "Norwegian Speech Audiometry." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for språk- og kommunikasjonsstudier, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-5409.

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A new set of speech audiometry for Norwegian - called "HiST taleaudiometri" - has been developed by the author of this thesis ("HiST" being short for the Norwegian name of Sør-Trøndelag University College and "taleaudiometri" being Norwegian for speech audiometry). The speech audiometry set consists of five-word sentences, three-word utterances, monosyllabic words, monosyllabic words for testing children and numrals. The process of developing the speech audiometry set is presented in this thesis. The five-word sentences are of the form Name-verb-numeral-adjetive-noun. Hagerman developed this sentence type for Swedish speech audiometry in the 1980s, but for Norwegian the sentences were developed using a new diphone-splitting method. For each word category ten alternatives exist, makings it possible to generate a number of lists with the same phonemic content but with different sentences. A noise was developed from the speech material. This is intended for use together with the speech for the purpose of speech recognition threshold in noise measurements. The material is very suitible for performing repeated measurements on the same person, which is often a requisite for hearing aid evaluation or psychoacoustical testing. The three-word utterances are of the form numeral-adjective-noun. The words are identical with the last three words used in the five-word sentences. The three-word utterances are intended for speech recognition threshold measurement. The noise developed for five-word sentences can be used together with the three-word utterances for speech recogniton threshold in noise measurements. Monosyllabic word lists were developed mainly for the purpose of measuring maximum speech recogniton score or the performance-intensity function. The recorded lists earmarked for testing children were developed by Rikshospitalet University Hospital in Oslo. The numrals used in the "HiST taleaudiometri" set are the numerals that were recorded by Sverre Quist-Hanssen for his speech audiometry. The numerals are organized in groups of three ( digit triplets).

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Stanický, Ondřej. "Audiometrie." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219197.

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The first part of the thesis focuses on theory and deals with the basic physical terms as far as acoustics is concerned. It also deals with a description of auditory system, as well as graphical results of audiometrical methods. The second part to the thesis deals with a scheme of audiometer for hearing tests. It also deals with the description of the programme as well as the transfer of the decibel scale to electric voltage and its correction. The last chapter contains the data collected during the hearing tests.

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Yeung, Ngan-kam Kammy, and 楊銀金. "Prediction of hearing thresholds: comparison of cortical evoked response audiometry and auditory steady stateresponse audiometry techniques." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B3049431X.

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Schulz, Theresa Y. "Monitoring audiometry in hearing conservation programs /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu148784937729649.

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Mason, S. M. "Objective waveform detection in electric response audiometry." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.353922.

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James, Christopher John. "The application of computers to speech audiometry." Thesis, University of Surrey, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304868.

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Van, Tonder Jessica Jacqueline. "Automated smartphone threshold audiometry : validity and time-efficiency." Diss., University of Pretoria, 2016. http://hdl.handle.net/2263/60435.

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Automated smartphone-based threshold audiometry has the potential to provide affordable audiometric services in underserved contexts where adequate resources and infrastructure are lacking. This study investigated the validity of the threshold version (hearTest) of the hearScreen™ smartphone-based application using inexpensive smartphones (Android OS) and calibrated supra-aural headphones. A repeated-measures, within-subject, study design was employed, comparing automated smartphone audiometry air conduction thresholds (0.5 to 8 kHz) to conventional audiometry thresholds. A total of 95 participants, with varying degrees of hearing sensitivity, were included in the study. 30 participants were adults, with known bilateral hearing losses of varying degrees (mean age of 59 years, 21.8 SD; 56.7% female). 65 participants were adolescents (mean age of 16.5 years, 1.2 SD; 70.8% female), of which 61 had normal hearing and 4 had mild hearing losses. Within the adult sample, 70.6% of thresholds obtained through smartphone and conventional audiometry corresponded within 5 dB. There was no significant difference between smartphone (6.75 min average, 1.5 SD) and conventional audiometry test duration (6.65 min average, 2.5 SD). Within the adolescent sample, 84.7% of audiometry thresholds obtained at 0.5, 2 and 4 kHz corresponded within 5 dB. At 1 kHz 79.3% of the thresholds differed by 10 dB or less. There was a significant difference (p&#060.01) between smartphone (7.09 min, 1.2 SD) and conventional audiometry test duration (3.23 min, 0.6 SD). The hearTest application using calibrated supra-aural headphones provided valid air conduction hearing thresholds. Therefore, it is evident that using inexpensive smartphones with calibrated headphones provides a cost-effective way to provide access to threshold air conduction audiometry.<br>Dissertation (M Communication Pathology)--University of Pretoria, 2016.<br>Speech-Language Pathology and Audiology<br>M Communication Pathology<br>Unrestricted

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Leone, Natália de Lima. "Aplicabilidade do estímulo chirp na avaliação das perdas auditivas de grau severo e profundo." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/25/25143/tde-17102014-150140/.

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Com a obrigatoriedade da triagem auditiva neonatal universal a partir do ano de 2010 em todo território brasileiro, maior número de crianças estão sendo submetidas ao diagnóstico audiológico logo nos primeiros meses de idade. O Potencial Evocado Auditivo de Tronco Encefálico e o Potencial Evocado Auditivo de Estado Estável são amplamente utilizados para fechamento do diagnóstico audiológico nesta idade, já que auxiliam na caracterização da perda auditiva quanto ao grau, tipo e configuração. Os estímulos utilizados nestes procedimentos apresentam limitações inerentes às características acústicas de cada um e devem ser consideradas pelo profissional no momento de analisar os resultados obtidos. Diante disso, o objetivo deste trabalho foi analisar comparativamente a aplicabilidade do estímulo Narrow Band CE-Chirp® para predizer os limiares psicoacústicos nas perdas auditivas sensorioneurais de graus severo e profundo. Trata-se de um estudo prospectivo transversal, na qual foram avaliadas 28 crianças com perda auditiva neurossensorial com limiares superiores a 61 dBNA, idade entre 6 e 37 meses, sendo 15 do sexo feminino e 13 do sexo masculino. Os procedimentos utilizados foram: Potencial Evocado Auditivo de Tronco Encefálico com os estímulos tone burst e Narrow Band CE-Chirp®, Potencial Evocado Auditivo de Estado Estável e Audiometria com Reforço Visual ou Audiometria Lúdica Condicionada. Os resultados mostraram que os limiares eletrofisológicos no Potencial Evocado Auditivo de Tronco Encefálico foram mais próximos dos limiares psicoacústicos obtidos na Audiometria com Reforço Visual ou Audiometria Lúdica Condicionada quando utilizado o estímulo Narrow Band CE-Chirp® ao invés do tone burst. Na ausência de resposta no Potencial Evocado Auditivo de Tronco Encefálico com ambos os estímulos, observou-se que o Potencial Evocado Auditivo de Estado Estável realizado em intensidades fortes apresentou boa correlação com os limiares psicoacústicos, contudo, a utilização de forte intensidade deve ser cuidadosa nas frequências de 2000 e 4000 Hz para não se obter limiares eletrofisiológicos que não são reais. Conclui-se então, que, clinicamente, a utilização do PEATE com o estímulo Narrow Band CE-Chirp® mostrou limiares eletrofisiológicos mais próximos dos limiares psicoacústicos da Audiometria com Reforço Visual/ Audiometria Lúdica Condicionada do que quando o estímulo utilizado foi o tone burst. Ainda assim, mais estudos devem ser realizados para verificar os benefícios deste estímulo na população infantil e com alguma alteração auditiva. O Potencial Evocado Auditivo de Estado Estável, por utilizar estímulos em intensidades mais fortes, caracterizou a audição residual com precisão nas frequências de 500 e 1000 Hz.<br>With the requirement of universal newborn hearing screening from the year 2010, throughout the Brazilian territory, more children are undergoing audiologic diagnosis in their first months. The Brainstem Auditory Evoked Potential and the Steady State Evoked Potential are widely used for closing the audiologic diagnosis at this age, since they assist in the characterization of hearing loss as to the degree, type and configuration. The stimuli used in these procedures pose limitations inherent to the acoustic characteristics of each subject and should be taken into account by the professional analyzing the results. Therefore, this study aimed to compare the applicability of the Narrow Band CE-Chirp® stimulus to predict the psychoacoustic thresholds in severe and profound sensorineural hearing loss. This was a cross-sectional prospective study in which 28 children, being 15 females and 13 males, aged 6 to 37 months, presented with sensorineural hearing loss and with thresholds above 61 dBNA, were assessed. The used procedures were Brainstem Auditory Evoked Potential with tone burst stimuli and Narrow Band CE-Chirp®, Steady-state auditory evoked potential and audiometry with visual reinforcement or conditioned ludic audiometry. The results showed that the electrophysiological thresholds in the Brainstem Auditory Evoked Potential were closer to the psychoacoustic thresholds obtained in the visually reinforced audiometry or conditioned ludic audiometry when using the Narrow Band CE-Chirp® stimulus in lieu of the tone burst. In the absence of response in the Brainstem Auditory Evoked Potential with both stimuli, it was observed that the Steady State Auditory Evoked Potential performed at high intensities presented good correlation with the psychoacoustic thresholds, nevertheless, high intensity should be used with caution in the frequencies 2000 and 4000 Hz, for unreal electrophysiological thresholds not to be obtained. It was concluded that, clinically, the use of Brainstem Auditory Evoked Potential with the Narrow Band CE-Chirp® stimulus showed electrophysiological thresholds closer to psychoacoustic ones of the audiometry with visual reinforcement/conditioned ludic audiometry than when using the tone burst. Nevertheless, further studies should be performed to verify the benefits of this stimulus in children and with some hearing impairment. For using stimuli in higher intensities, the Steady-state auditory evoked potential characterized the residual hearing, accurately, at frequencies of 500 and 1000 Hz.

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Books on the topic "Audiometry"

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Vic, Gladstone, and Lloyd Lyle L, eds. Audiometric interpretation: A manual of basic audiometry. 2nd ed. Allyn and Bacon, 1993.

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OBE, Martin Michael, ed. Speech audiometry. Taylor & Francis, 1987.

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Bryan, M. E. Industrial audiometry. 3rd ed. Bryan & Tempest, 1990.

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OBE, Martin Michael, ed. Speech audiometry. 2nd ed. Singular Pub. Group, 1997.

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OBE, Martin Michael, ed. Speech audiometry. Whurr Publishers, 1990.

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1933-, Martin Michael, ed. Speech audiometry. Whurr, 1990.

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Virginia, Ramachandran, ed. Basic audiometry learning manual. Plural, 2010.

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DeRuiter, Mark. Basic audiometry learning manual. Plural Pub., 2010.

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author, Ramachandran Virginia, ed. Basic audiometry learning manual. Plural Publishing, 2017.

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D, Thornton A. R., ed. Electric-response audiometry in clinical practice. Churchill Livingstone, 1990.

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Book chapters on the topic "Audiometry"

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Fukuda, Denby K., and Mitchell J. Ramsey. "Audiometry." In Encyclopedia of Otolaryngology, Head and Neck Surgery. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-23499-6_573.

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Weik, Martin H. "audiometry." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1019.

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Kaga, Kimitaka. "Audiometry." In Microtia and Atresia - Combined Approach by Plastic and Otologic Surgery. S. KARGER AG, 2013. http://dx.doi.org/10.1159/000350596.

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Hoth, Sebastian. "Audiometry." In Springer Handbook of Medical Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-540-74658-4_12.

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Naito, Yasushi. "Subjective Audiometry." In Hearing Impairment. Springer Japan, 2004. http://dx.doi.org/10.1007/978-4-431-68397-1_58.

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Dhillon, Ramindar S., and James W. Fairley. "Impedance audiometry." In Multiple-choice Questions in Otolaryngology. Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-10805-3_41.

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Macy, Kelly, Wouter Staal, Cate Kraper, et al. "Brainstem Audiometry." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_1099.

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DeBonis, David A., and Constance L. Donohue. "Speech Audiometry." In Survey of Audiology, 3rd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003526674-5.

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Marriage, Josephine E., and Marina Salorio-Corbetto. "Psychoacoustic Audiometry." In Scott-Brown’s Otorhinolaryngology Head and Neck Surgery. CRC Press, 2018. http://dx.doi.org/10.1201/9780203731017-51.

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McCullagh, Jennifer. "Brainstem Audiometry." In Encyclopedia of Autism Spectrum Disorders. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_1099.

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Conference papers on the topic "Audiometry"

1

Loniza, Erika, Vera Komalasari, and Kurnia Chairunnisa. "Audiometry Prototype with Examination Diagnostics." In 2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP). IEEE, 2023. https://doi.org/10.1109/airosip58759.2023.10873940.

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Kanimozhi, P., P. JebaSanthiya, T. Ananth Kumar, Mohamed Inamul Hussain, Christo Ananth, and E. Preethi. "Revolutionizing Hearing Health: Mobile-based Audiometry Assessment Enhanced by Machine Learning Integration." In 2024 8th International Conference on Inventive Systems and Control (ICISC). IEEE, 2024. http://dx.doi.org/10.1109/icisc62624.2024.00017.

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Shin, Jaesung, Jun Ma, Seong Jun Choi, and Min Hong. "Preprocessing of Pure Tone Audiometry Data and Design of Machine Learning Models for Hearing Loss Classification." In 2024 8th International Conference on Imaging, Signal Processing and Communications (ICISPC). IEEE, 2024. http://dx.doi.org/10.1109/icispc63824.2024.00029.

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Hallak, B., S. Kaulitz, W. Schehata-Dieler, R. Hagen, and M. Cebulla. "Direct-Drive-Pure-Tone-Audiometry and Direct-Drive-Speech-Audiometry." In Abstract- und Posterband – 89. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Forschung heute – Zukunft morgen. Georg Thieme Verlag KG, 2018. http://dx.doi.org/10.1055/s-0038-1640339.

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Adiputra, Aldo, David Habsara Hareva, and Dion Krisnadi. "Android Mobile Audiometry Test." In ISCSIC '18: The 2nd International Symposium on Computer Science and Intelligent Control. ACM, 2018. http://dx.doi.org/10.1145/3284557.3284701.

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HOWIE, RM. "THE ROLE OF AUDIOMETRY IN A HEARING CONSERVATION PROGRAMME - SPECIFICATION FOR THE AUDIOMETRIC." In Autumn Conference 1989. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21733.

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BERRY, BF, AJ JOHN, and MS SHIPTON. "A COMPUTER-CONTROLLED AUDIOMETRY SYSTEM." In Spring Conference and Exhibition 1979. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/23462.

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Ondas, Stanislav, Daniel Hladek, Matus Pleva, et al. "Towards robot-assisted children speech audiometry." In 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2019. http://dx.doi.org/10.1109/coginfocom47531.2019.9089983.

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Naida, Sergey, and Olha Pavlenko. "Coupled Circuits Model in Objective Audiometry." In 2018 IEEE 38th International Conference on Electronics and Nanotechnology (ELNANO). IEEE, 2018. http://dx.doi.org/10.1109/elnano.2018.8477557.

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Zivanovic, Aleksander, Sinisa Suzic, Ivana Sokolovac, and Vlado Delic. "Analysis of Errors in Speech Audiometry." In 2018 26th Telecommunications Forum (TELFOR). IEEE, 2018. http://dx.doi.org/10.1109/telfor.2018.8612168.

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Reports on the topic "Audiometry"

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Finneran, James J. Electrophysiological Techniques for Sea Lion Population-Level Audiometry. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531210.

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Visram, Anisa, Iain Jackson, Ibrahim Almufarrij, Michael Stone, and Kevin Munro. Comparing visual reinforcement audiometry outcomes using different auditory stimuli and visual rewards. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.1.0080.

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Lavoie, Kimberly. High Frequency Pure Tone Audiometry and High Frequency Distortion Product Otoacoustic Emissions: A Correlational Analysis. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.1688.

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Teas, Don C. A Special-Purpose Virtual Audiometer. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada259588.

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Guidelines for Manual Pure-Tone Threshold Audiometry. American Speech-Language-Hearing Association, 2005. http://dx.doi.org/10.1044/policy.gl2005-00014.

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Audiometric Symbols. American Speech-Language-Hearing Association, 1990. http://dx.doi.org/10.1044/policy.gl1990-00006.

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