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Journal articles on the topic 'Speech audiometry'

Author: Grafiati

Published: 4 June 2021

Last updated: 22 February 2023

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1

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 (February 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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Calandruccio, Lauren, and Daniel Weidman. "Online Simulation Education for Audiometry Training." American Journal of Audiology 31, no. 1 (March 3, 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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3

Yamashita, Koichi, and Toshimasa Matsuhira. "Speech Audiometry." AUDIOLOGY JAPAN 51, no. 3 (2008): 167–76. http://dx.doi.org/10.4295/audiology.51.167.

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4

Hosoi, Hiroshi. "Speech audiometry." AUDIOLOGY JAPAN 52, no. 6 (2009): 563–70. http://dx.doi.org/10.4295/audiology.52.563.

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5

Lee, Jong Dam. "Speech Audiometry." Journal of Clinical Otolaryngology Head and Neck Surgery 7, no. 2 (November 1996): 232–41. http://dx.doi.org/10.35420/jcohns.1996.7.2.232.

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6

Hamid, Mohamed A., and Kenneth H. Brookler. "Speech Audiometry." Ear, Nose & Throat Journal 85, no. 12 (December 2006): 810–12. http://dx.doi.org/10.1177/014556130608501207.

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7

Penrod, John P. "Speech Audiometry." Ear and Hearing 9, no. 6 (December 1988): 355–56. http://dx.doi.org/10.1097/00003446-198812000-00017.

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8

Alviandi, Widayat, Jenny Bashiruddin, Brastho Bramantyo, and Farisa Rizky. "Words in noise audiometry in adult subjects with normal hearing." Oto Rhino Laryngologica Indonesiana 50, no. 1 (July 1, 2020): 9. http://dx.doi.org/10.32637/orli.v50i1.332.

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Background: Patients with hearing disturbance will generally undergo pure tone audiometry andspeech audiometry in a quiet room, but those examinations cannot evaluate the ability to understand speech in daily environment with a noisy background. Words in noise test will provide valuable informationregarding patient’s hearing problem in noise. Purpose: To evaluate the hearing threshold using wordsin noise test in adults with normal hearing. Method: This cross-sectional study was conducted in CiptoMangunkusumo Hospital from January to April 2017. All subjects who fulfilled the inclusion and exclusioncriteria underwent pure tone audiometry, speech audiometry, and words in noise test. Results: A total of71 individuals with normal hearing were recruited for this study. Words in noise test showed the medianvalue of 67 dB and 100 dB for Speech Recognition Threshold (SRT) 50% and Speech DiscriminationScore (SDS) 100%, respectively. The SRT 50% and SDS 100% were significantly higher in the age group40–60 years compared to the age group 18–39 years. There was also a statistically significant differencebetween males and females at SRT 50% assessed by words in noise audiometry. Conclusion: Wordsin noise test showed a statistically significant difference in SRT 50% and SDS 100% between two agegroups, but no difference was found between genders. The result of this study can be used as a referencefor SRT and SDS values of speech audiometry test in noise.Keywords: words in noise, speech audiometry, speech recognition threshold, speech discrimination score ABSTRAKLatar belakang: Pasien dengan gangguan pendengaran umumnya menjalani pemeriksaanaudiometri nada murni dan audiometri tutur di ruangan yang sunyi, tetapi pemeriksaan ini tidakdapat menggambarkan kemampuan pemahaman wicara di lingkungan sehari-hari yang ramai. Testutur dalam bising dapat mengevaluasi masalah pendengaran pasien dalam keadaan bising. Tujuan:Untuk mengevaluasi ambang pendengaran menggunakan tes tutur dalam bising pada orang dewasadengan pendengaran normal. Metode: Penelitian potong lintang ini dilakukan di Rumah Sakit CiptoMangunkusumo dari Januari hingga April 2017. Semua subjek yang memenuhi kriteria inklusi daneksklusi menjalani pemeriksaan audiometri nada murni, audiometri tutur, dan tes tutur dalam bising.Hasil: Sebanyak 71 orang dengan pendengaran normal diikutsertakan dalam penelitian ini. Tes tuturdalam bising menunjukkan nilai median masing-masing 67 dB dan 100 dB pada Speech RecognitionThreshold (SRT) 50% dan Speech Discrimination Score (SDS) 100%. SRT 50% dan SDS 100% secarasignifikan lebih tinggi pada kelompok usia 40–60 tahun dibandingkan dengan kelompok usia 18–39 tahun. Hasil pemeriksaan tes tutur dalam bising menunjukkan perbedaan yang signifikan antara laki-laki dan wanita pada nilai SRT 50%. Kesimpulan: Tes tutur dalam bising menunjukkan perbedaan yang bermakna secara statistik pada SRT 50% dan SDS 100% antara dua kelompok umur, tetapi tidak ada perbedaan signifikan diantara jenis kelamin. Hasil penelitian ini dapat digunakan sebagai acuan untuk nilai SRT dan SDS pada pemeriksaan audiometri tutur dalam bising.

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9

Bickley, Corine, and Gerald Kidd. "Synthetic speech audiometry." Journal of the Acoustical Society of America 86, S1 (November 1989): S49. http://dx.doi.org/10.1121/1.2027530.

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10

MIYATA, Koji, Kazuhiko SHOJI, Hisayoshi KOJIMA, Koichi OMORI, Shigeru HIRANO, and Shogo SHINOHARA. "Interactive Speech Audiometry." Practica Oto-Rhino-Laryngologica 91, no. 4 (1998): 337–40. http://dx.doi.org/10.5631/jibirin.91.337.

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11

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 (February 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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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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13

Meister, H. "Speech audiometry, speech perception, and cognitive functions." HNO 65, S1 (September 30, 2016): 1–4. http://dx.doi.org/10.1007/s00106-016-0250-7.

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van Tonder, Jessica, De Wet Swanepoel, Faheema Mahomed-Asmail, Hermanus Myburgh, and Robert H. Eikelboom. "Automated Smartphone Threshold Audiometry: Validity and Time Efficiency." Journal of the American Academy of Audiology 28, no. 03 (March 2017): 200–208. http://dx.doi.org/10.3766/jaaa.16002.

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AbstractSmartphone-based threshold audiometry with automated testing has the potential to provide affordable access to audiometry in underserved contexts.To validate the threshold version (hearTest) of the validated hearScreen™ smartphone-based application using inexpensive smartphones (Android operating system) and calibrated supra-aural headphones.A repeated measures within-participant study design was employed to compare air-conduction thresholds (0.5–8 kHz) obtained through automated smartphone audiometry to thresholds obtained through conventional audiometry.A total of 95 participants were included in the study. Of these, 30 were adults, who had known bilateral hearing losses of varying degrees (mean age = 59 yr, standard deviation [SD] = 21.8; 56.7% female), and 65 were adolescents (mean age = 16.5 yr, SD = 1.2; 70.8% female), of which 61 had normal hearing and the remaining 4 had mild hearing losses.Threshold comparisons were made between the two test procedures. The Wilcoxon signed-ranked test was used for comparison of threshold correspondence between manual and smartphone thresholds and the paired samples t test was used to compare test time.Within the adult sample, 94.4% of thresholds obtained through smartphone and conventional audiometry corresponded within 10 dB or less. There was no significant difference between smartphone (6.75-min average, SD = 1.5) and conventional audiometry test duration (6.65-min average, SD = 2.5). Within the adolescent sample, 84.7% of thresholds obtained at 0.5, 2, and 4 kHz with hearTest and conventional audiometry corresponded within ≤5 dB. At 1 kHz, 79.3% of the thresholds differed by ≤10 dB. There was a significant difference (p < 0.01) between smartphone (7.09 min, SD = 1.2) and conventional audiometry test duration (3.23 min, SD = 0.6).The hearTest application with calibrated supra-aural headphones provides a cost-effective option to determine valid air-conduction hearing thresholds.

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15

Lee, Junghak. "Standardization of Korean Speech Audiometry." Audiology and Speech Research 12, Suppl 1 (March 31, 2016): S7—S9. http://dx.doi.org/10.21848/asr.2016.12.s1.s7.

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16

Jerger, James. "New Horizons in Speech Audiometry?" Journal of the American Academy of Audiology 21, no. 07 (July 2010): 424–25. http://dx.doi.org/10.3766/jaaa.21.7.1.

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17

Yacullo, William S. "Clinical Masking in Speech Audiometry." American Journal of Audiology 8, no. 2 (December 1999): 106–16. http://dx.doi.org/10.1044/1059-0889(1999/019).

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The optimal masking level during speech audiometry is one that falls above the minimum and below the maximum masking levels. The goal is to select a masking level that falls at the middle of the masking plateau. This article presents a simplified approach to selecting an appropriate level of contralateral masking during suprathreshold speech audiometry. The underlying theoretical concepts and prerequisite conditions are reviewed. The advantages of insert earphones when using the simplified approach are discussed.

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18

Nursaitova, R. M. "Speech audiometry in the Tatar language in the diagnosis of sensorineural hearing loss." Kazan medical journal 67, no. 6 (November 15, 1986): 431–33. http://dx.doi.org/10.17816/kazmj70904.

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Among the existing methods of studying human auditory function, speech audiometry is widely used, which provides an opportunity to quantitatively and qualitatively judge the condition of the subject's hearing by the degree of intelligibility of speech sounds. Each language has its own phonetic, grammatical, acoustic and other features, which requires the creation of verbal tests in the respective language, suitable for speech audiometry. It has been found that the method of speech audiometry achieves a consistency of recording and reproducing a speech test, there is no influence of the acoustics of the room, and elements of subjectivity in the pronunciation of words are excluded. Due to the lack of balanced speech material, the method of verbal audiometry has not yet been used with Tatar nationals who do not speak or speak poorly Russian.

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Zabolotny, Dmitry I., Viktor I. Lutsenko, Irina A. Belyakova, Yeugenia I. Svitlychna, Alla A. Berestova, Tetiana Yu Kholodenko, and Nataliya N. Hradiuk. "Development of ukrainian speech discrimination tests for children (phase of formation of tables with words)." OTORHINOLARYNGOLOGY, no. 4(3) 2020 (September 25, 2020): 50–54. http://dx.doi.org/10.37219/2528-8253-2020-4-50.

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Topicality: The speech audiometry is an essential diagnostic method which allows to fully assess the effectiveness of the cochlear implantation and hearing aids, to identify the central auditory processing disorders among the patients. Ukrainian audiologists have all necessary tools to perform classical speech audiometry and determine speech discrimination in the difficult acoustic conditions in adults. But it should be said that Ukrainian speech tests for children haven’t been developed yet. Aim: to develop and implement the Ukrainian speech discrimination tests for children. To solve the problem of speech audiometry in Ukraine it was decided to develop several speech discrimination tests for children of different ages and needs. At the first stage the authors have formed the groups with Ukrainian words for speech audiometry in children (starting from preschool age) and made a studio recording of the test that should be tested and validated futher. The formed word groups meet with all the requirements for phonetically balanced speech discrimination tests taking into consideration the peculiarities of children’s audiometry. The following principles were adhered in each group: the presence of all Ukrainian vowel phonemes in the stressed syllable and consonants with different frequency; the presence of words with different numbers of syllables; taking into consideration the rhythmic structure of the word (stress place); keeping a constant ratio of vowels and consonants. The article presents the primary (not yet valid) version of the Ukrainian speech discrimination test for children’s audiometry. Studio recording of this test will be tested in children with normal and impaired hearing as well as in users of hearing aids and cochlear implants. Conclusions: For the first time in Ukraine the tables with words have been formed in the native language for the audiometry in children (starting from the preschool age). The studio recording of the speech discrimination test was done with the female voice. Hence the next phase of development of the Ukrainian speech tests for children is planned the sence of which will be to approbate and validate.

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Zapisnaya, A. "Performing examination on «MA-52 clinical audiometer» — device for speech audiometry." Medsestra (Nurse), no. 3 (March 1, 2020): 75–76. http://dx.doi.org/10.33920/med-05-2003-15.

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Vanpoucke, Filiep, Marleen De Sloovere, and Anke Plasmans. "The Thomas More Lists: A Phonemically Balanced Dutch Monosyllabic Speech Audiometry Test." Audiology Research 12, no. 4 (July 29, 2022): 404–13. http://dx.doi.org/10.3390/audiolres12040041.

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Speech audiometry tests are a crucial tool in clinical care and research. In Dutch, the common practice is to use lists of monosyllabic words with a consonant-vowel-consonant (CVC) structure. However, there are relatively few lists, and they are short. Here, the goal is to develop an adult speech audiometry test for Dutch (Flemish) consisting of phonemically balanced lists of 25 CVC words. The ISO 8253-3:2012 norm was followed. From a pool of 689 well-known words, an initial set of 26 lists was recorded by a female speaker. The lists were optimized for perceptual balance by means of two studies with young normal hearing listeners (N1 = 24, N2 = 32). The final corpus contains 16 phonetically and perceptually balanced lists. In a last study (N3 = 25), the reference speech recognition curves in quiet and in speech-shaped noise were determined. Reference speech recognition threshold and slope values for phoneme scoring are respectively 20.3 dBSPL in quiet (slope 5.2%/dB) and −7.7 dBSNR (7.5%/dB) in noise, similar to existing materials. The lists may be a useful addition to the existing audiometric tests.

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Shi, Lu-Feng. "Speech Audiometry and Spanish–English Bilinguals: Challenges in Clinical Practice." American Journal of Audiology 23, no. 3 (September 2014): 243–59. http://dx.doi.org/10.1044/2014_aja-14-0022.

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Purpose The Spanish–English bilingual population has been on a steady rise in the United States and is projected to continue to grow. Speech audiometry, a key component of hearing care, must be customized for this linguistically unique and diverse population. Method The tutorial summarizes recent findings concerning Spanish–English bilinguals' performance on English and Spanish speech audiometric tests in the context of the psychometric properties of the tests and the language and dialect profile of the individual (language status, history, stability, competency, and use). The tutorial also provides arguments for evaluating bilingual clients in Spanish, in English, or in both languages, which may serve as rationales in support of varied bilingual clinical practices. Last, the tutorial provides information regarding Spanish speech audiometry, including available tests, issues that clinicians may encounter when administering them, and dialectal consideration. Conclusions It is a challenge as well as an opportunity for clinicians to expand service to the Spanish–English bilingual community. Understanding the characteristics of the individual and the test is essential for ensuring quality services to the bilingual client.

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Hazan, V., G. Wilson, D. Howells, D. Miller, E. Abberton, and A. Fourcin. "Speech pattern audiometry for clinical use." International Journal of Language & Communication Disorders 30, no. 2 (January 1995): 116–23. http://dx.doi.org/10.3109/13682829509082522.

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24

MATSUDAIRA, TOSHIMASA. "Masking in speech audiometry examinations. 2." AUDIOLOGY JAPAN 32, no. 5 (1989): 431–32. http://dx.doi.org/10.4295/audiology.32.431.

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25

ONO, YUMIKO. "Speech audiometry using the processed voice." AUDIOLOGY JAPAN 33, no. 5 (1990): 461–62. http://dx.doi.org/10.4295/audiology.33.461.

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26

Karlsson, Ann-Kristin, and Ulf Rosenhall. "Clinical Application of Distorted Speech Audiometry." Scandinavian Audiology 24, no. 3 (January 1995): 155–60. http://dx.doi.org/10.3109/01050399509047529.

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27

Ashoor, A. A., and T. Prochazka. "Saudi Arabic speech audiometry for children." British Journal of Audiology 19, no. 3 (January 1985): 229–38. http://dx.doi.org/10.3109/03005368509078977.

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Haughton, P. M. "Speech audiometry using an adaptive method." British Journal of Audiology 23, no. 2 (January 1989): 117–21. http://dx.doi.org/10.3109/03005368909077829.

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29

Mendel, Lisa Lucks. "Current considerations in pediatric speech audiometry." International Journal of Audiology 47, no. 9 (January 2008): 546–53. http://dx.doi.org/10.1080/14992020802252261.

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30

Mueller, H. Gustav. "Speech audiometry and hearing aid fittings." Hearing Journal 54, no. 10 (October 2001): 19–29. http://dx.doi.org/10.1097/01.hj.0000294535.51460.0c.

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Kobayashi, Yuzuru, Ayako Sakuma, Yuko Ishida, and Tomokazu Kamio. "Speech audiometry before and after tympanoplasty." Practica Oto-Rhino-Laryngologica 82, no. 1 (1989): 15–20. http://dx.doi.org/10.5631/jibirin.82.15.

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Aihara, Yasutaka, Yuzuru Kobayashi, Ayako Sakuma, Yuko Ishida, Shinji Hamada, Toshio Kamimura, and Tomokazu Kamio. "Speech Audiometry One Year after Tympanoplasty." Practica Oto-Rhino-Laryngologica 84, no. 7 (1991): 901–5. http://dx.doi.org/10.5631/jibirin.84.901.

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Neumann, Sara, Joanna Smith, and Jace Wolfe. "Conditioned Play Audiometry." Hearing Journal 69, no. 4 (April 2016): 34. http://dx.doi.org/10.1097/01.hj.0000481807.28828.ec.

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Johnson, Jeremy, Jessica Jiang, Elia Benhamou, Mai-Carmen Requena-Komuro, Harri Sivasathiaseelan, Annabel Nelson, Jonathon Rohrer, Doris-Eva Bamiou, Chris Hardy, and Jason Warren. "Parallel Session 2: Neurodegeneration| Wed 18 May, 1115 – 1230|2 Degraded speech comprehension is a ‘real-world audiogram’ for dementia." Journal of Neurology, Neurosurgery & Psychiatry 93, no. 9 (August 12, 2022): e2.219. http://dx.doi.org/10.1136/jnnp-2022-abn2.7.

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UCLThe recently recognised association between hearing impairment and dementia has important clinical and public health implications but remains poorly understood. In daily life, the most important sound we hear is speech: making sense of spoken messages that are ‘degraded’ by noise is fundamental to suc- cessful communication and depends on neural computations in the auditory brain that are vulnerable to neurodegenerative pathologies. Measuring degraded speech perception might therefore index both real-world hearing function and the underlying disease process in dementia.We administered tests of degraded speech and pure tone audiometry, before correlating these measures with questionnaire data on real-world hearing ability in healthy control participants and patients with Alzheimer’s disease (AD), frontotemporal dementia (FTD) and the primary progressive aphasias (PPA). Audiometric performance was modulated by auditory cognitive performance and correlated poorly with real-world hearing ability. Degraded speech tests were able to stratify syndromic groups and showed significantly better correlation with real-world hearing measures.Our findings suggest that auditory brain function is a critical determinant of daily life communication in people with dementia: tests of auditory cognition may constitute a ‘real-word audiogram’ for these diseases, adding value to standard audiometry and potentially detecting neurodegenerative patholo- gies earlier.

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Samuel, Paola Angelica, Maria Valéria Schmidt Goffi-Gomez, Aline Gomes Bittencourt, Robinson Koji Tsuji, and Rubens de Brito. "Remote programming of cochlear implants." CoDAS 26, no. 6 (December 2014): 481–86. http://dx.doi.org/10.1590/2317-1782/20142014007.

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PURPOSE: To verify the effectiveness of remote programming of cochlear implants by stimulation levels and results in the perception of speech and free-field audiometry tests. METHODS: Twelve patients from both genders, aged between 18 and 59 years, users of internal cochlear implant and speech processor of the same model for at least 12 months, were selected. Both the remote programming (RP) and the live programming (LP) were performed on the same day, measuring the minimum (T) and maximum (C) stimulation levels of five electrodes with the interpolation of the remaining ones. Speech perception tests were applied using 65 dBSPL (recorded open context sentences and monosyllables). The patients were submitted to free-field audiometry at 250-8,000 Hz frequencies. The results for the RP and LP were compared. RESULTS: Differences in mean of the T levels for three electrodes and the C levels for one electrode were found. No difference between the results was obtained in the speech perception tests and audiometric thresholds in the RP and LP. CONCLUSION: The RP is a simple and effective procedure for programming cochlear implant devices and, although there were differences in the stimulation levels of some electrodes, it did not interfere in the speech perception outcomes.

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Serpanos, Yula C., Melissa Hobbs, Karina Nunez, Lucia Gambino, and Jasmin Butler. "Adapting Audiology Procedures During the Pandemic: Validity and Efficacy of Testing Outside a Sound Booth." American Journal of Audiology 31, no. 1 (March 3, 2022): 91–100. http://dx.doi.org/10.1044/2021_aja-21-00108.

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Purpose: This investigation aims to provide outcomes from a clinical perspective on the validity and efficacy of a wireless automated audiometer system that could be used in multiple settings when a sound booth is not accessible. Testing was conducted in a clinical setting under modified protocols meeting safety precautions during the COVID-19 pandemic. Method: Four doctoral students in audiology served as examiners. Participants were 69 adults between the ages of 20 and 69 years, with normal hearing (≤ 25 dB HL; n = 110 ears) or hearing loss (> 25 dB HL; n = 25 ears). Two versions of a pure-tone air-conduction threshold test following a modified Hughson-Westlake approach were performed and compared at 500, 1000, 2000, 3000, 4000, 6000, and 8000 Hz (a) in a sound-treated test booth using standard manual audiometry and (b) in a quiet, nonsound-treated clinical room (sound booth free) using automated KUDUwave audiometry. Participants were asked to complete a five-item feedback questionnaire, and examiners were interviewed to report on their experience. Results: Clinical validity to within ±10 dB of standard audiometry was demonstrated for 94.5% of the total thresholds ( n = 937) measured with the sound booth–free approach. Less accuracy (73.3%) was observed using a ±5 dB comparison. When comparing the mean thresholds, there were significant differences ( p < .01) between the mean thresholds at most frequencies, with mean sound booth thresholds being higher than the sound booth–free mean thresholds. A strong threshold correlation (.91–.98) was found between the methods across frequencies. Participant and examiner feedback supported the efficacy of the sound booth–free technology. Conclusions: Findings support sound booth–free, automated software-controlled audiometry with active noise monitoring as a valid and efficient procedure for pure-tone hearing threshold assessment. This method offers an effective alternative when circumstances require more transportable hearing assessment technology or do not allow for standard manual audiometry in a sound booth.

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Ondáš, Stanislav, Eva Kiktová, Matúš Pleva, Mária Oravcová, Lukáš Hudák, Jozef Juhár, and Július Zimmermann. "Pediatric Speech Audiometry Web Application for Hearing Detection in the Home Environment." Electronics 9, no. 6 (June 13, 2020): 994. http://dx.doi.org/10.3390/electronics9060994.

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This paper describes the development of the speech audiometry application for pediatric patients in Slovak language and experiences obtained during testing with healthy children, hearing-impaired children, and elderly persons. The first motivation behind the presented work was to reduce the stress and fear of the children, who must undergo postoperative audiometry, but over time, we changed our direction to the simple game-like mobile application for the detection of possible hearing problems of children in the home environment. Conditioned play audiometry principles were adopted to create a speech audiometry application, where children help the virtual robot Thomas assign words to pictures; this can be described as a speech recognition test. Several game scenarios together with the setting condition issues were created, tested, and discussed. First experiences show a positive influence on the children’s mood and motivation.

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Convery, Elizabeth, Gitte Keidser, Mark Seeto, Ingrid Yeend, and Katrina Freeston. "Factors Affecting Reliability and Validity of Self-Directed Automatic In Situ Audiometry: Implications for Self-Fitting Hearing Aids." Journal of the American Academy of Audiology 26, no. 01 (January 2015): 005–18. http://dx.doi.org/10.3766/jaaa.26.1.2.

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Background: A reliable and valid method for the automatic in situ measurement of hearing thresholds is a prerequisite for the feasibility of a self-fitting hearing aid, whether such a device becomes an automated component of an audiological management program or is fitted by the user independently of a clinician. Issues that must be addressed before implementation of the procedure into a self-fitting hearing aid include the role of real-ear-to-dial difference correction factors in ensuring accurate results and the ability of potential users to successfully self-direct the procedure. Purpose: The purpose of this study was to evaluate the reliability and validity of an automatic audiometry algorithm that is fully implemented in a wearable hearing aid, to determine to what extent reliability and validity are affected when the procedure is self-directed by the user, and to investigate contributors to a successful outcome. Research Design: Design was a two-phase correlational study. Study Sample: A total of 60 adults with mild to moderately severe hearing loss participated in both studies: 20 in Study 1 and 40 in Study 2. Twenty-seven participants in Study 2 attended with a partner. Participants in both phases were selected for inclusion if their thresholds were within the output limitations of the test device. Data Collection and Analysis: In both phases, participants performed automatic audiometry through a receiver-in-canal, behind-the-ear hearing aid coupled to an open dome. In Study 1, the experimenter directed the task. In Study 2, participants followed a set of written, illustrated instructions to perform automatic audiometry independently of the experimenter, with optional assistance from a lay partner. Standardized measures of hearing aid self-efficacy, locus of control, cognitive function, health literacy, and manual dexterity were administered. Statistical analysis examined the repeatability of automatic audiometry; the match between automatically and manually measured thresholds; and contributors to successful, independent completion of the automatic audiometry procedure. Results: When the procedure was directed by an audiologist, automatic audiometry yielded reliable and valid thresholds. Reliability and validity were negatively affected when the procedure was self-directed by the user, but the results were still clinically acceptable: test-retest correspondence was 10 dB or lower in 97% of cases, and 91% of automatic thresholds were within 10 dB of their manual counterparts. However, only 58% of participants were able to achieve a complete audiogram in both ears. Cognitive function significantly influenced accurate and independent performance of the automatic audiometry procedure; accuracy was further affected by locus of control and level of education. Several characteristics of the automatic audiometry algorithm played an additional role in the outcome. Conclusions: Average transducer- and coupling-specific correction factors are sufficient for a self-directed in situ audiometry procedure to yield clinically reliable and valid hearing thresholds. Before implementation in a self-fitting hearing aid, however, the algorithm and test instructions should be refined in an effort to increase the proportion of users who are able to achieve complete audiometric results. Further evaluation of the procedure, particularly among populations likely to form the primary audience of a self-fitting hearing aid, should be undertaken.

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Brittz, Marize, Barbara Heinze, Faheema Mahomed-Asmail, De Wet Swanepoel, and Anton Stoltz. "Monitoring Hearing in an Infectious Disease Clinic with mHealth Technologies." Journal of the American Academy of Audiology 30, no. 06 (June 2019): 482–92. http://dx.doi.org/10.3766/jaaa.17120.

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AbstractDecentralized detection and monitoring of hearing loss can be supported by new mobile health technologies using automated testing that can be facilitated by minimally trained persons. These may prove particularly useful in an infectious disease (ID) clinic setting where the risk of hearing loss is high.To evaluate the clinical utility of mobile and automated audiometry hearing health technology in an ID clinic setting.Smartphone-automated pure-tone audiometry (PTA) (hearTest™) and speech-in-noise testing (SA English digits-in-noise [DIN] test) were compared with manual audiometry (2, 4, and 8 kHz). Smartphone-automated PTA and the DIN test were repeated to determine the test–retest reliability.Two hundred subjects (73% female and 27% male) were enrolled. Fifty participants were retested with the smartphone applications. Participants ranged from an age of 18 to 55 years with a mean age of 44.4 (8.7 standard deviation).Threshold comparisons were made between smartphone audiometry testing and manual audiometry. Smartphone-automated PTA, manual audiometry, and test–retest measures were compared (Wilcoxon signed ranked test). Spearman rank correlation test was used to determine the relationship between the smartphone applications and manual audiometry, as well as for test–retest reliability.Within all participants, 88.2% of thresholds corresponded within 10 dB or less between smartphone audiometry and manual audiometry. There was a significant difference (p < 0.05) between the right ear at 4 and 8 kHz and in the left ear at 2 and 4 kHz between smartphone and manual audiometry, respectively. No significant difference was noted (p < 0.05) between test and retest measures of smartphone technology.Smartphone audiometry with calibrated headphones provides reliable results in an ID clinic setting and can be used as a baseline and monitoring tool at ID clinics.

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Xia, Liang, Jingchun He, Yuanyuan Sun, Yi Chen, Qiong Luo, Haibo Shi, Yanmei Feng, and Shankai Yin. "Comparison of Acceptable Noise Level Generated Using Different Transducers and Response Modes." Neural Plasticity 2018 (June 26, 2018): 1–9. http://dx.doi.org/10.1155/2018/3786489.

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The acceptable noise level (ANL) was defined by subtracting the background noise level (BNL) from the most comfortable listening level (MCL) (ANL = MCL − BNL). This study compared the ANL obtained through different methods in 20 Chinese subjects with normal hearing. ANL was tested with Mandarin speech materials using a loudspeaker or earphones, with each subject tested by himself or by the audiologist. The presentation and response modes were as follows: (1) loudspeaker with self-adjusted noise levels using audiometer controls (LS method); (2) loudspeaker with the subject signaling the audiologist to adjust speech and noise levels (LA method); (3) earphones with self-adjusted noise levels using audiometer controls (ES method); and (4) earphones with the subject signaling the audiologist to adjust speech and noise levels (EA method). ANL was calculated from three measurements with each method. There was no significant difference in the ANL obtained through different presentation modes or response modes sound. The correlations between ANL, MCL, and BNL obtained from each two methods were significant. In conclusion, the ANL in normal-hearing Mandarin listeners may not be affected by presentation modes such as a loudspeaker or earphones nor is it affected by self-adjusted or audiologist-adjusted response modes. Earphone audiometry is as reliable as sound field audiometry and provides an easy and convenient way to measure ANL.

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van Leeuwen, Jos P. P. M., Cor W. R. J. Cremers, Henk O. M. Thijssen, and Henk E. Meyer. "Unchanged unilateral hearing loss and ipsilateral growth of an acoustic neuroma from 1 to 4 cm." Journal of Laryngology & Otology 107, no. 3 (March 1993): 230–32. http://dx.doi.org/10.1017/s0022215100122704.

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Progressive sensorineural hearing loss is the most important early symptom of a cerebellopontine angle process. A case report is presented of a 42-year-old woman who was referred to our department in 1979. Oil cistemography showed non filling of the left internal acoustic canal. Audiometry was planned as the method of control, but she did not return until nine- years later. In 1988, an acoustic neurionoma of 4 cm diameter was found in the left CPA. Pure tone audiometry and speech audiometry showed that during the nine-year interval, her 60 dB flat sensorineural hearing loss and speech perception thresholds had remained almost unchanged. A follow-up with only tone and speech audiometry can lead to a false negative diagnosis in some of these cases. Calculation of the growth in tumour volume over nine years in this patient showed a tumour volume doubling time of about 15 months.

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Olsen, Wayne O. "Brief Tone Audiometry." Ear and Hearing 8, SUPPLEMENT (August 1987): 13S—18S. http://dx.doi.org/10.1097/00003446-198708001-00005.

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Frank, Tom, and Dennis L. Williams. "Ambient Noise Levels in Audiometric Test Rooms Used for Clinical Audiometry." Ear and Hearing 14, no. 6 (December 1993): 414–22. http://dx.doi.org/10.1097/00003446-199312000-00007.

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Wahyudin, William, Dyah Indrasworo, and Ahmad Dian Wahyudiono. "Hubungan Pemberian Kanamisin dengan Kejadian Ototoksik pada Penderita Tuberkulosis Multi Drug Resistance." Oto Rhino Laryngologica Indonesiana 48, no. 2 (January 30, 2019): 121. http://dx.doi.org/10.32637/orli.v48i2.266.

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Latar Belakang: Ototoksik merupakan salah satu efek samping kanamisin yang sulit dihindari. Ototoksisitas kanamisin ditandai dengan gangguan pendengaran sensorineural yang progresif dan sering irreversible dimulai dari frekuensi lebih dari 8000 Hz yang akhirnya akan mengenai frekuensi yang lebih rendah jika terapi dilanjutkan. Tujuan: Penelitian ini bertujuan untuk mengetahui pengaruh pemberian kanamisin pada pasien tuberkulosis multi drug resistance (TB MDR) terhadap munculnya ototoksik dengan pemeriksaan audiometri. Metode: Penelitian observasional longitudinal dengan pendekatan cohort ini mengevaluasi fungsi pendengaran sebelum dan setelah pemberian kanamisin pada pasien TB MDR. Pemeriksaan fungsi pendengaran menggunakan audiometri nada murni. Kanamisin adalah aminoglikosida pilihan pada pasien dengan TB MDR yang akan diberikan secara injeksi intramuskular. Hasil: Uji Friedman’s menunjukkan ditemukan perubahan yang bermakna pada hasil pengukuran audiometri pada frekuensi tinggi antara pasca injeksi kanamisin bulan pertama, kedua, hingga kelima dengan hasil pengukuran sebelum terapi (p>0,05). Diagnosis ototoksisitas menggunakan kriteria American-Speech-Language-Hearing-Association (ASHA) dapat dideteksi sejak bulan pertama pemberian kanamisin (25%). Kesimpulan: Ada hubungan antara kejadian ototoksik dengan pemberian kanamisin pada penderita TB MDR. Telah terjadi ototoksisitas sejak injeksi kanamisin bulan pertama yang dideteksi dengan menggunakan pemeriksaan audiometri, dan bermakna secara statistik. Introduction: Ototoxicity is one of common side effects of kanamycin which is hard to avoid. Ototoxicity can be detected by a progressive and irreversible high frequency sensorineural hearing loss that can further affect low frequency if the therapy is continued. Kanamycin is the drug-of-choice for TB MDR through intramuscular (IM) injection. Purpose: This study aims to determine whether kanamycin can cause ototoxicity in patient with MDR TB by using audiometry examination. Method: An observational longitudinal study with cohort design, evaluating patient’s hearing threshold before and after kanamycin IM injection once per month using pure tone audiometry. Result: A significant alteration in high pitch before and after injection of kanamycin was revealed with Friedman’s test (p<0.05) for hearing threshold using pure tone audiometry. Furthermore, using American Speech-Language-Hearing Association (ASHA) the diagnosis of ototoxicity can be established since the first month of kanamycin injection in 25% of the subjects, and also 25% in the second month of injection. Conclusion: There is a significant connection between ototoxicity with kanamycin injection in MDR TB patients, statistically proven. The ototoxicity can happen since the first month of injection, which can be detected using pure tone audiometry.

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Onoue, Solange Satie, Karin Zazo Ortiz, Thaís Soares Cianciarullo Minett, and Alda Christina Lopes de Carvalho Borges. "Audiological findings in aphasic patients after stroke." Einstein (São Paulo) 12, no. 4 (December 2014): 433–39. http://dx.doi.org/10.1590/s1679-45082014ao3119.

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Objective To outline the audiological findings of aphasic patients after cerebrovascular accidents.Methods This is a cross-sectional study performed between March 2011 and August 2012 in the Speech, Language, and Hearing Pathology Department of theUniversidade Federal de São Paulo. A total of 43 aphasic subjects (27 men) were referred for audiological evaluation after stroke, with mean age of 54.48 years. Basic audiological evaluation tests were performed, including pure tone audiometry, speech audiometry (speech recognition threshold and word recognition score), immittance measures (tympanometry and contralateral acoustic reflex), and transient otoacoustic emissions.Results Sensorineural hearing loss was prevalent (78.6%). Speech recognition threshold and word recognition score were not obtained in some patients because they were unable to perform the task. Hearing loss was a common finding in this population.Conclusion Comprehension and/or oral emission disruptions in aphasic patients after stroke compromised conventional speech audiometry, resulting in the need for changes in the evaluation procedures for these patients.

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Shiraishi, Hiromu, Hiroshi Hosoi, Takashi Nishida, Hiroji Azuma, and Kiyotaka Murata. "Classification of Speech Discrimination Ability using Variable-speech-rate Audiometry." AUDIOLOGY JAPAN 40, no. 2 (1997): 127–32. http://dx.doi.org/10.4295/audiology.40.127.

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DiGiovanni, Jeffrey J., and Jennifer N. Repka. "Response Method in Audiometry." American Journal of Audiology 16, no. 2 (December 2007): 145–48. http://dx.doi.org/10.1044/1059-0889(2007/018).

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Swanepoel, De Wet, Felicity Maclennan-Smith, and James W. Hall. "Diagnostic Pure-Tone Audiometry in Schools: Mobile Testing without a Sound-Treated Environment." Journal of the American Academy of Audiology 24, no. 10 (November 2013): 992–1000. http://dx.doi.org/10.3766/jaaa.24.10.10.

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Purpose: To validate diagnostic pure-tone audiometry in schools without a sound-treated environment using an audiometer that incorporates insert earphones covered by circumaural earcups and real-time environmental noise monitoring. Research Design: A within-subject repeated measures design was employed to compare air (250 to 8000 Hz) and bone (250 to 4000 Hz) conduction pure-tone thresholds measured in natural school environments with thresholds measured in a sound-treated booth. Study Sample: 149 children (54% female) with an average age of 6.9 yr (SD = 0.6; range = 5–8). Results: Average difference between the booth and natural environment thresholds was 0.0 dB (SD = 3.6) for air conduction and 0.1 dB (SD = 3.1) for bone conduction. Average absolute difference between the booth and natural environment was 2.1 dB (SD = 2.9) for air conduction and 1.6 dB (SD = 2.7) for bone conduction. Almost all air- (96%) and bone-conduction (97%) threshold comparisons between the natural and booth test environments were within 0 to 5 dB. No statistically significant differences between thresholds recorded in the natural and booth environments for air- and bone-conduction audiometry were found (p > 0.01). Conclusions: Diagnostic air- and bone-conduction audiometry in schools, without a sound-treated room, is possible with sufficient earphone attenuation and real-time monitoring of environmental noise. Audiological diagnosis on-site for school screening may address concerns of false-positive referrals and poor follow-up compliance and allow for direct referral to audiological and/or medical intervention.

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Ardle, B. Mac, V. Hazan, and D. Prasher. "Speech Pattern Audiometry in Hearing Impaired Children." British Journal of Audiology 33, no. 6 (December 1999): 383–93. http://dx.doi.org/10.3109/03005364000000106.

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Hazan, ValÉRie, and A. J. Fourcin. "Microprocessor-Controlled Speech Pattern Audiometry Preliminary Results." International Journal of Audiology 24, no. 5 (January 1985): 325–35. http://dx.doi.org/10.3109/00206098509078351.

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