Relevant bibliographies by topics / Auditory evoked response

Academic literature on the topic 'Auditory evoked response'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Auditory evoked response"

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Dutt, S. N., A. Kumar, A. A. Mittal, S. Vadlamani, and S. K. Gaur. "Cochlear implantation in auditory neuropathy spectrum disorders: role of transtympanic electrically evoked auditory brainstem responses and serial neural response telemetry." Journal of Laryngology & Otology 135, no. 7 (May 20, 2021): 602–9. http://dx.doi.org/10.1017/s0022215121001328.

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AbstractObjectiveTo evaluate the utility of pre-operative transtympanic electrically evoked auditory brainstem responses and post-operative neural response telemetry in auditory neuropathy spectrum disorder patients.MethodsFour auditory neuropathy spectrum disorder patients who had undergone cochlear implantation and used it for more than one year were studied. All four patients underwent pre-operative transtympanic electrically evoked auditory brainstem response testing, intra-operative and post-operative (at 3, 6 and 12 months after switch-on) neural response telemetry, and out-patient cochlear implant electrically evoked auditory brainstem response testing (at 12 months).ResultsPatients with better waveforms on transtympanic electrically evoked auditory brainstem response testing showed superior performance after one year of implant use. Neural response telemetry and electrically evoked auditory brainstem response measures improved in all patients.ConclusionInferences related to cochlear implantation outcomes can be based on the waveform of transtympanic electrically evoked auditory brainstem responses. Robust transtympanic electrically evoked auditory brainstem responses suggest better performance. Improvements in electrically evoked auditory brainstem responses and neural response telemetry over time indicate that electrical stimulation is favourable in auditory neuropathy spectrum disorder patients. These measures provide an objective way to monitor changes and progress in auditory pathways following cochlear implantation.
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BENCH, JOHN. "Auditory brainstem evoked response." Journal of Paediatrics and Child Health 21, no. 2 (May 1985): 73–74. http://dx.doi.org/10.1111/j.1440-1754.1985.tb00131.x.

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Noda, Kazuhiro, Mitsuo Tonoike, Katsumi Doi, Izumi Koizuka, Masahiko Yamaguchi, Ritsu Seo, Naoki Matsumoto, Teruhisa Noiri, Noriaki Takeda, and Takeshi Kubo. "Auditory evoked off-response." NeuroReport 9, no. 11 (August 1998): 2621–25. http://dx.doi.org/10.1097/00001756-199808030-00036.

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Rana, B., and A. Barman. "Correlation between speech-evoked auditory brainstem responses and transient evoked otoacoustic emissions." Journal of Laryngology & Otology 125, no. 9 (July 5, 2011): 911–16. http://dx.doi.org/10.1017/s0022215111001241.

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AbstractObjective:To investigate the correlation between cochlear processing and brainstem processing.Method:Transient evoked otoacoustic emissions and speech-evoked auditory brainstem responses were recorded in 40 ears of normal-hearing individuals aged 18 to 23 years. Correlation analyses compared transient evoked otoacoustic emission parameters with speech-evoked auditory brainstem response parameters.Results:There was a significant correlation between speech-evoked auditory brainstem response wave V latency and transient evoked otoacoustic emission global emission strength; there were no other significant correlations between the two tests.Conclusion:Tests for transient evoked otoacoustic emissions and speech-evoked auditory brainstem responses provide unique and functionally independent information about the integrity and sensitivity of the auditory system. Therefore, combining both tests will provide a more sensitive clinical battery with which to identify the location of different disorders (e.g. language-based learning impairments and hearing impairments).
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Cone-Wesson, Barbara, Richard C. Dowell, Dani Tomlin, Gary Rance, and Wu Jia Ming. "The Auditory Steady-State Response: Comparisons with the Auditory Brainstem Response." Journal of the American Academy of Audiology 13, no. 04 (April 2002): 173–87. http://dx.doi.org/10.1055/s-0040-1715962.

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Two studies are reported in which the threshold estimates from auditory steady-state response (ASSR) tests are compared to those of click- or toneburst-evoked auditory brainstem responses (ABRs). The first, a retrospective review of 51 cases, demonstrated that both the click-evoked ABR and the ASSR threshold estimates in infants and children could be used to predict the pure-tone threshold. The second, a prospective study of normal-hearing adults, provided evidence that the toneburst-evoked ABR and the modulated tone–evoked ASSR thresholds were similar when both were detected with an automatic detection algorithm and that threshold estimates varied with frequency, stimulus rate, and detection method. The lowest thresholds were obtained with visual detection of the ABA. The studies illustrate that ASSRs can be used to estimate pure-tone threshold in infants and children at risk for hearing loss and also in normal-hearing adults.
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Kidd, Gerald, Robert F. Burkard, and Christine R. Mason. "Auditory Detection of the Human Brainstem Auditory Evoked Response." Journal of Speech, Language, and Hearing Research 36, no. 2 (April 1993): 442–47. http://dx.doi.org/10.1044/jshr.3602.442.

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The human brainstem auditory evoked response (BAER) is a far-field electrical potential recorded from the scalp in response to transient acoustic stimuli. Typically, voltage measurements are obtained for a period of about 10 msec following the acoustic stimulus, which is repeated and summed several hundred or thousand times to permit extraction of the response from ongoing nonauditory neural activity. The judgment about whether a response has been obtained is normally based on the pattern observed in a visual display of the waveform. In this study, we investigated whether listeners can distinguish BAERs elicited by acoustic clicks from control waveforms obtained with no acoustic stimulus when the waveforms were presented auditorily. For this purpose, BAER and control waveforms were transduced by an earphone and used in an auditory detection task. Several presentation strategies were examined, including lengthening the waveform by playing it at a lower sampling rate, playing the waveform repetitively, and using the waveform to frequency modulate a pure-tone carrier. The results indicated that the BAER, when extended in duration and used to frequency modulate a 1000-Hz pure tone, was highly detectable in a yes-no paradigm for BAERs elicited with high-level (e.g., 70 dB re. behavioral detection threshold) acoustic clicks. Performance declined to near chance as the level of the BAER-eliciting stimulus was lowered to 10 dB. In general, detection performance for stimuli presented visually was slightly, but consistently, superior to that which occurred for stimuli presented auditorily.
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Picton, Terence W., and Sasha M. John. "Avoiding Electromagnetic Artifacts When Recording Auditory Steady-State Responses." Journal of the American Academy of Audiology 15, no. 08 (September 2004): 541–54. http://dx.doi.org/10.3766/jaaa.15.8.2.

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Electromagnetic artifacts can occur when recording multiple auditory steady-state responses evoked by sinusoidally amplitude modulated (SAM) stimuli. High-intensity air-conducted stimuli evoked responses even when hearing was prevented by masking. Additionally, high-intensity bone-conducted stimuli evoked responses that were completely different from those evoked by air-conducted stimuli of similar sensory level. These artifacts were caused by aliasing since they did not occur when recordings used high analog-digital (AD) conversion rates or when high frequencies in the electroencephalographic (EEG) signal were attenuated by steep-slope low-pass filtering. Two possible techniques can displace aliased energy away from the response frequencies: (1) using an AD rate that is not an integer submultiple of the carrier frequencies and (2) using stimuli with frequency spectra that do not alias back to the response frequencies, such as beats or "alternating SAM" tones. Alternating SAM tones evoke responses similar to conventional SAM tones, whereas beats produce significantly smaller responses.
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Centanni, T. M., C. T. Engineer, and M. P. Kilgard. "Cortical speech-evoked response patterns in multiple auditory fields are correlated with behavioral discrimination ability." Journal of Neurophysiology 110, no. 1 (July 1, 2013): 177–89. http://dx.doi.org/10.1152/jn.00092.2013.

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Different speech sounds evoke unique patterns of activity in primary auditory cortex (A1). Behavioral discrimination by rats is well correlated with the distinctness of the A1 patterns evoked by individual consonants, but only when precise spike timing is preserved. In this study we recorded the speech-evoked responses in the primary, anterior, ventral, and posterior auditory fields of the rat and evaluated whether activity in these fields is better correlated with speech discrimination ability when spike timing information is included or eliminated. Spike timing information improved consonant discrimination in all four of the auditory fields examined. Behavioral discrimination was significantly correlated with neural discrimination in all four auditory fields. The diversity of speech responses across recordings sites was greater in posterior and ventral auditory fields compared with A1 and anterior auditor fields. These results suggest that, while the various auditory fields of the rat process speech sounds differently, neural activity in each field could be used to distinguish between consonant sounds with accuracy that closely parallels behavioral discrimination. Earlier observations in the visual and somatosensory systems that cortical neurons do not rely on spike timing should be reevaluated with more complex natural stimuli to determine whether spike timing contributes to sensory encoding.
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Lalor, Edmund C., Alan J. Power, Richard B. Reilly, and John J. Foxe. "Resolving Precise Temporal Processing Properties of the Auditory System Using Continuous Stimuli." Journal of Neurophysiology 102, no. 1 (July 2009): 349–59. http://dx.doi.org/10.1152/jn.90896.2008.

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In natural environments complex and continuous auditory stimulation is virtually ubiquitous. The human auditory system has evolved to efficiently process an infinitude of everyday sounds, which range from short, simple bursts of noise to signals with a much higher order of information such as speech. Investigation of temporal processing in this system using the event-related potential (ERP) technique has led to great advances in our knowledge. However, this method is restricted by the need to present simple, discrete, repeated stimuli to obtain a useful response. Alternatively the continuous auditory steady-state response is used, although this method reduces the evoked response to its fundamental frequency component at the expense of useful information on the timing of response transmission through the auditory system. In this report, we describe a method for eliciting a novel ERP, which circumvents these limitations, known as the AESPA (auditory-evoked spread spectrum analysis). This method uses rapid amplitude modulation of audio carrier signals to estimate the impulse response of the auditory system. We show AESPA responses with high signal-to-noise ratios obtained using two types of carrier wave: a 1-kHz tone and broadband noise. To characterize these responses, they are compared with auditory-evoked potentials elicited using standard techniques. A number of similarities and differences between the responses are noted and these are discussed in light of the differing stimulation and analysis methods used. Data are presented that demonstrate the generalizability of the AESPA method and a number of applications are proposed.
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de la Torre, Angel, Inmaculada Sanchez, Isaac M. Alvarez, Jose C. Segura, Joaquin T. Valderrama, Nicolas Muller, and Jose L. Vargas. "Multi-response deconvolution of auditory evoked potentials in a reduced representation space." Journal of the Acoustical Society of America 155, no. 6 (June 1, 2024): 3639–53. http://dx.doi.org/10.1121/10.0026228.

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The estimation of auditory evoked potentials requires deconvolution when the duration of the responses to be recovered exceeds the inter-stimulus interval. Based on least squares deconvolution, in this article we extend the procedure to the case of a multi-response convolutional model, that is, a model in which different categories of stimulus are expected to evoke different responses. The computational cost of the multi-response deconvolution significantly increases with the number of responses to be deconvolved, which restricts its applicability in practical situations. In order to alleviate this restriction, we propose to perform the multi-response deconvolution in a reduced representation space associated with a latency-dependent filtering of auditory responses, which provides a significant dimensionality reduction. We demonstrate the practical viability of the multi-response deconvolution with auditory responses evoked by clicks presented at different levels and categorized according to their stimulation level. The multi-response deconvolution applied in a reduced representation space provides the least squares estimation of the responses with a reasonable computational load. matlab/Octave code implementing the proposed procedure is included as supplementary material.
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Dissertations / Theses on the topic "Auditory evoked response"

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Fassnidge, Christopher. "The visually-evoked auditory response." Thesis, City, University of London, 2018. http://openaccess.city.ac.uk/19689/.

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In synaesthesia a sensation in one modality triggers a consciously perceived sensation in another sensory modality or cognitive domain. In this thesis we investigate auditory sensation that are induced by dynamic visual stimuli, akin to hearing-motion synaesthesia (Saenz and Koch, 2008). We term this the Visually-Evoked Auditory Response (vEAR). We first establish the prevalence of vEAR in a random sample, with questionnaire responses indicating a higher prevalence (as many as 1 in 5) than canonical synaesthesias. We report that those who experience vEAR showed better performance compared to controls when discriminating between ‘Morse-code’ style rhythmic sequences in the visual domain, as did Saenz and Koch (2008). We also demonstrate that vEAR is perceptually real enough to interfere with hearing real world sounds. We then demonstrate that in control subjects Transcranial Alternating Current Stimulation (TACS), when applied over the temporal versus the occipital lobes, impairs auditory versus visual sequence discrimination respectively. However, temporal TACS improved visual and occipital TACS improved auditory sequence discrimination performance. This suggests the presence of normally-occurring mutual alpha-mediated competitive inhibition of the two cortices. This TACS effect was not seen in individuals with vEAR, indicating that their auditory and visual cortices are able to cooperate to perform the task despite disruption from TACS. Finally, we investigate the types of visual stimuli that best evoke vEAR, and the types of people who tend to experience it. We conducted a large online survey in which respondents rated the amount of vEAR evoked by a series of silent videos depicting types of motion. The predictiveness of a real-world sound was identified as a major contributor to ratings in all respondents, while motion energy (raw changes in light over space and time) specifically influenced ratings in those who experience vEAR. We also report demographic and trait questions relating to auditory perception that predict higher ratings, including the frequency one experiences music imagery in their head, or whether they have tinnitus or types of synaesthesia. We conclude that vEAR results from both high and low-level connectivity between the visual and auditory cortices and an atypical inhibition of these connections.
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Blumenfeld, Laura D. "Auditory evoked response suppression in schizophrenia /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2001. http://wwwlib.umi.com/cr/ucsd/fullcit?p3015844.

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Biagio, Leigh. "Slow cortical auditory evoked potentials and auditory steady-state evoked responses in adults exposed to occupational noise." Diss., Pretoria : [s. n.], 2009. http://upetd.up.ac.za/thesis/available/etd-02222010-133535.

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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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Carey, Marc Brandon. "Brainstem auditory evoked potentials in anuran amphibians." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4267.

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In this study, I looked at the effects of sound level, temperature and dehydration/hypernatremia on the brainstem auditory evoked potential (BAEP) of four species of anuran amphibians (Rana pipiens, Rana catesbeiana, Bufo americanus and Bufo terrestris). The BAEP was used because it allowed me to monitor both the peripheral and central aspects of auditory nervous function simultaneously and over a long period of time.
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Oyler, Robert Francis. "Within-subject variability in the absolute latency of the auditory brainstem response." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184820.

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The auditory brainstem response (ABR) is an evoked potential that has achieved widespread acceptance as a technique for evaluating the status and function of the auditory nervous system. For many diagnostic applications, the latency of an obtained ABR peak is compared to clinical norms. One who uses this approach makes some basic assumptions regarding between-subject and within-subject variability of latency. Although a great deal is known about between-subject variability of ABR latency, virtually nothing is known about such variability within a single subject. The purpose of this investigation was to describe the nature of within-subject variability of ABR latency. Nine male subjects participated in the study. Each met the following criteria: 10-12 years of age; normal speech and language development; normal academic progress; normal hearing; and, normal middle ear pressure. A repeated measures design was employed. Four sessions were scheduled for each subject and five ABRs were obtained at each session for each of three stimulus conditions: monaural left, monaural right, and binaural. Stimuli were 100 μs condensation clicks presented at 80 dB nHL. For each ABR peak, the within-subject distribution of latencies was analyzed with regard to symmetry, kurtosis, range, and standard deviation using the SPSSx "Descriptives" procedure. For every subject, variability of latency was observed. Most often, the latencies were normally distributed and the magnitude of variability was small. The variability of latency, as indexed by the standard deviation, was less within any single subject than is commonly reported for groups of subjects. It was concluded that: (a) standard parametric techniques would be appropriate for subsequent analysis of such data; and, (b) by establishing a baseline, the sensitivity of the ABR might be increased for certain within-subject monitoring applications.
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Friesen, Lendra M. "Speech-evoked auditory potentials in cochlear implant listeners /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/8239.

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Ciocca, Valter. "Effects of auditory streaming upon duplex perception of speech." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75866.

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When a formant transition (isolated transition) and the remainder (base) of a synthesized syllable are presented to opposite ears most subjects perceive two simultaneous sounds, a syllable and a nonspeech chirp. The isolated transition determines the identity of the syllable at one ear and, at the same time, is perceived as a chirp at the opposite ear. This phenomenon, called duplex perception, has been interpreted as the result of the independent operation of two perceptual modes, the phonetic and the auditory mode. In order to test this hypothesis, the isolated transition was preceded and followed by a series of identical transitions sent to the same ear. This streaming procedure weakened the contribution of the transition to the perceived phonetic identity of the syllable. This weakening effect could have been explained in terms of the habituation of an hypothetical phonetic feature detector sensitive to the repetition of identical transitions. For this reason, the same effect was replicated by capturing the isolated transition with others which were aligned on the same frequency-by-time trajectory as the isolated one. These findings are consistent with the idea that the integration of the transition with the base was affected by the operation of general-purpose auditory processes. This contrasts with the hypothesis that the phonetic mode integrated the dichotic stimuli independently of the auditory mode.
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Sallinen, Mikael. "Event-related brain potentials to changes in the acoustic environment during sleep and sleepiness." Jyväskylä : University of Jyväskylä, 1997. http://catalog.hathitrust.org/api/volumes/oclc/39009942.html.

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Smith, Ginny M. "Influence of age on auditory gating /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1326.pdf.

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Books on the topic "Auditory evoked response"

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H, Owen Jeffrey, and Donohoe Charles D, eds. Clinical atlas of auditory evoked potentials. Orlando, Fla: Grune & Stratton, 1988.

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Ferraro, John A. Laboratory exercises in auditory evoked potentials. San Diego, Calif: Singular Pub. Group, 1997.

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Irvine, D. R. F. The auditory brainstem: A review of the structure and function of auditory brainstem processing mechanisms. Berlin: Springer-Verlag, 1986.

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Goldstein, Robert. Evoked potential audiometry: Fundamentals and applications. Boston: Allyn and Bacon, 1999.

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1943-, Jacobson John T., ed. The Auditory brainstem response. San Diego, Calif: College-Hill Press, 1985.

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Schroeder, Linda L. The very basics of ABR: An introduction to auditory brainstem response. Danville, Ill: Interstate, 1989.

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1953-, Burkard Robert F., Eggermont Jos J, and Don Manuel, eds. Auditory evoked potentials: Basic principles and clinical application. Philadelphia: Lippincott Williams & Wilkins, 2007.

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Alho, Kimmo. Mechanisms of selective listening reflected by event-related brain potentials in humans. Helsinki: Suomalainen Tiedeakatemia, 1987.

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Atcherson, Samuel R., and Tina M. Stoody. Auditory electrophysiology: A clinical guide. New York: Thieme, 2012.

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Toth, George. Cognitive correlates of newborn auditory evoked brainstem responses. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1994.

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Book chapters on the topic "Auditory evoked response"

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Eggermont, J. J., and P. H. Schmidt. "The auditory brainstem response." In Evoked Potential Manual, 41–77. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2059-0_2.

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Macy, Kelly, Wouter Staal, Cate Kraper, Amanda Steiner, Trina D. Spencer, Lydia Kruse, Marina Azimova, et al. "Brainstem Auditory Evoked Response (BAER)." In Encyclopedia of Autism Spectrum Disorders, 470. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100225.

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Macy, Kelly, Wouter Staal, Cate Kraper, Amanda Steiner, Trina D. Spencer, Lydia Kruse, Marina Azimova, et al. "Brainstem Auditory Evoked Response, BAER." In Encyclopedia of Autism Spectrum Disorders, 470. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100226.

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Yamamoto, K., A. Uno, K. Doi, M. Okusa, and T. Kubo. "Electrically Evoked Auditory Brainstem Response." In Cochlear Implant and Related Sciences Update, 82–84. Basel: KARGER, 1997. http://dx.doi.org/10.1159/000059012.

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Schoonhoven, R., and V. F. Prijs. "Cochlear Frequency Selectivity and Brainstem Evoked Response (BER) Dependence on Click Polarity." In Auditory Pathway, 155–61. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-1300-7_22.

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Shikata, Ayako, Yoshihiro Shikata, Takashi Matsuzaki, and Satoru Watanabe. "Auditory Habituation and Evoked Potentials in a Learning Response." In Neurobiology of Sensory Systems, 499–506. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-2519-0_33.

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Kaga, Makiko. "Normalization and Deterioration of Auditory Brainstem Response (ABR) in Child Neurology." In ABRs and Electrically Evoked ABRs in Children, 77–168. Tokyo: Springer Japan, 2022. http://dx.doi.org/10.1007/978-4-431-54189-9_6.

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Rybnik, Mariusz, Saliou Diouf, Abdennasser Chebira, Veronique Amarger, and Kurosh Madani. "Multi-neural Network Approach for Classification of Brainstem Evoked Response Auditory." In Lecture Notes in Computer Science, 1043–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24844-6_163.

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Dujardin, Anne-Sophie, Véronique Amarger, Kurosh Madani, Olivier Adam, and Jean-François Motsch. "Multi-neural network approach for classification of brainstem evoked response auditory." In Lecture Notes in Computer Science, 255–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0100492.

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Ciulla, C., T. Takeda, M. Morabito, T. Kumagai, and H. Endo. "MEG Measurements of 40 Hz Auditory Evoked Response in Human Brain." In Biomag 96, 927–30. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_226.

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Conference papers on the topic "Auditory evoked response"

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SHARPE, R. M., C. THORNTON, C. SHANNON, M. D. BRUNNER, and D. E. F. NEWTON. "THE AUDITORY EVOKED RESPONSE DURING PROPOFOL SEDATION IN VOLUNTEERS." In Proceedings of the Fourth International Symposium. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160231_0005.

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WRIGHT, D. R., C. THORNTON, J. UMO-ETUK, R. M. SHARPE, D. T. COWAN, L. G. ALLAN, and M. D. BRUNNER. "THE EFFECT OF MIDAZOLAM ON THE AUDITORY EVOKED RESPONSE." In Proceedings of the Fourth International Symposium. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160231_0006.

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Delgado, R. E., O. Ozdamar, and E. Miskiel. "On-line system for automated auditory evoked response threshold determination." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.95333.

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Erkan, Yasemin, and Nurettin Acir. "Wavelet denoising of middle latency response in auditory evoked potentials." In 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA). IEEE, 2011. http://dx.doi.org/10.1109/inista.2011.5946172.

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Sprevak, D. "On the use of averaging for auditory evoked response detection." In First International Conference on Advances in Medical Signal and Information Processing. IEE, 2000. http://dx.doi.org/10.1049/cp:20000335.

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Dajani, Hilmi R., Brian P. Heffernan, and Christian Giguere. "Improving hearing aid fitting using the speech-evoked auditory brainstem response." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610125.

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Aggarwal, Aanchal. "Cochlear Implants in Auditory Neuropathy Spectrum Disorder: Role of Electrically Evoked Auditory Brainstem Responses and Serial Neural Response Telemetry." In 27th Annual National Conference of the Indian Society of Otology. Thieme Medical and Scientific Publishers Private Ltd., 2019. http://dx.doi.org/10.1055/s-0039-1700215.

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Wang, Xin, Mingxing Zhu, Xiaochen Wang, Shuting Liu, Oluwarotimi Williams Samuel, Wanzhang Yang, Shixiong Chen, and Guanglin Li. "A Pilot Study on Auditory Brainstem Response Evoked with Randomized Stimulation Rate." In 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2020. http://dx.doi.org/10.1109/metroind4.0iot48571.2020.9138304.

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VAUGHAN, D. J. A., G. SHINNER, C. THORNTON, and M. D. BRUNNER. "THE EFFECT OF TRAMADOL ON THE AUDITORY EVOKED RESPONSE DURING LIGHT ANAESTHESIA." In Proceedings of the Fourth International Symposium. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160231_0011.

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Akbarzadeh, Sara, Mehrdad Heydarzadeh, Fei Chen, Sungmin Lee, and Chin-Tuan Tan. "Reducing the variability in auditory evoked response to pitch matched stimuli using Wavelet Scattering Transform." In 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP). IEEE, 2018. http://dx.doi.org/10.1109/icdsp.2018.8631623.

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Reports on the topic "Auditory evoked response"

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DeJonckere, P. H., B. Millet, R. Van Gool, A. Martens, M. Lefrancq, L. Litière, E. Meyer, and J. Lebacq. Reliability of Electro-physiologically Evoked Auditory Steady State Responses. Progress in Neurobiology, April 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.03.

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Abstract:
The electrophysiological technique of auditory steady state responses (ASSR) makes possible objective hearing threshold definition, with frequency specificity. A high level of reliability is a basic requirement for applying this technique in a medicolegal context. 35 subjects affected by significant occupational noise induced hearing loss and claiming compensation underwent a thorough medical and audiological examination, including an analysis of the auditory steady state responses (ASSR) in order to objectively define hearing thresholds with frequency specificity, and ear-by-ear. In order to investigate the reproducibility of the thresholds obtained by this technique, the electrophysiological exploration was repeated immediately after the first test. An exhaustive statistical comparison of the results rejects the hypothesis of any significant difference between the results of both exams, whatever severity of hearing loss and frequency. All correlation coefficients (R and ICC) and Cronbach’s α values reach or exceed 0.9. Bland-Altman plots rule out systematic shifts, as well as proportional errors, or variations that depends on the magnitude of the measurements.
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