pure tone threshold

  • 文章类型: Journal Article
    语音接收阈值(SRT),与语音识别阈值同义,表示个人辨别所提供的语音材料的50%所需的最低听力水平。该阈值在每只耳朵中独立测量,从纯音阈值(PTT)得出的初始SRT值开始重复上下调节刺激水平,通过纯音测听法(PTA)测量。然而,测试中的重复调整有助于增加患者和听力学家的疲劳,损害听力测试的可靠性。
    确定第一(初始)声级更接近最终确定的SRT值,减少重复次数很重要。确定初始声级的现有方法是对称为纯音平均(PTAv)的PTT求平均。
    我们提出了一种新颖的方法,该方法使用机器学习方法来估算SRT测试的更最佳初始声级。具体来说,实现了具有一维滤波器(1DCNN)的卷积神经网络,以预测比传统方法更好的初始水平。
    我们的方法使初始刺激水平与最终SRT值之间的差异降低了37.92%。
    这一结果证实了我们的方法可以减少寻找最终SRT的重复次数,and,作为结果,听力测试时间可以减少。
    UNASSIGNED: The speech reception threshold (SRT), synonymous with the speech recognition threshold, denotes the minimum hearing level required for an individual to discern 50% of presented speech material. This threshold is measured independently in each ear with a repetitive up-down adjustment of stimulus level starting from the initial SRT value derived from pure tone thresholds (PTTs), measured via pure-tone audiometry (PTA). However, repetitive adjustments in the test contributes to increased fatigue for both patients and audiologists, compromising the reliability of the hearing tests.
    UNASSIGNED: Determining the first (initial) sound level closer to the finally determined SRT value, is important to reduce the number of repetitions. The existing method to determine the initial sound level is to average the PTTs called pure tone average (PTAv).
    UNASSIGNED: We propose a novel method using a machine learning approach to estimate a more optimal initial sound level for the SRT test. Specifically, a convolutional neural network with 1-dimensional filters (1D CNN) was implemented to predict a superior initial level than the conventional methods.
    UNASSIGNED: Our approach produced a reduction of 37.92% in the difference between the initial stimulus level and the final SRT value.
    UNASSIGNED: This outcome substantiates that our approach can reduce the repetitions for finding the final SRT, and, as the result, the hearing test time can be reduced.
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  • 文章类型: Journal Article
    目的:听力损失的早期发现和有效管理是提高听力损失患者生活质量的关键。然而,在标准化的纯音测听法中,老年患者有时很难理解和遵循所有指示。听力学家也需要时间,专业知识,和耐心,以确保老年人能够在听力测试中识别最微弱的刺激水平。因此,这项研究旨在设计和验证一个公式,以使用语音接收阈值来预测0.5-4kHz(PTT)中每个频率的纯音阈值。
    方法:回顾了年龄在60-90岁的听力受损者的1226个听力图。随机样本函数将613名参与者随机分配到训练集和测试集。创建线性模型以基于在跨0.5-4kHz的所有频率处显著的变量来预测在每个频率处的PTT值。调整后的R2值被认为表明了预测模型的性能。Pearson的相关系数用于描述测试集之间在0.5、1、2和4kHz的实际和预测的PTT之间的关系,以衡量所提出模型的性能。
    结果:在训练集中根据年龄进行调整后,使用基于语音识别阈值(SRT)的变量设计了预测模型。在0.5、1和2kHz的频率下,总体预测精度显示出更高的调整R2,范围从0.74到0.89。而在4kHz时观察到低百分比的解释方差(调整后的R2=0.41).该预测模型可以用作指导确定PTT的辅助临床工具。此外,可以在助听器编程软件中应用预测的PTT,以使用标准处方公式来设置适当的助听器增益。
    OBJECTIVE: Early detection and effective management of hearing loss constitute the key to improving the quality of life of individuals with hearing loss. However, in standardized pure tone audiometry, it is sometimes difficult for elderly patients to understand and follow all instructions. Audiologists also require time, expertise, and patience to ensure that an elderly can identify the faintest levels of stimuli during a hearing test. Therefore, this study aimed to devise and validate a formula to predict the pure tone threshold at each frequency across 0.5-4 kHz (PTTs) using speech reception threshold.
    METHODS: The 1226 audiograms of hearing-impaired individuals aged 60-90 years were reviewed. The random sample function randomly assigned 613 participants to the training and testing sets each. A linear model was created to predict the PTT value at each frequency based on variables significant at all frequencies across 0.5-4 kHz. The adjusted-R2 value was considered to indicate the performance of the predictive model. Pearson\'s correlation coefficient was used to describe the relationship between the actual and predicted PTT at 0.5, 1, 2, and 4 kHz among the testing set to measure the performance of the proposed model.
    RESULTS: The predictive model was devised using variables based on the speech recognition threshold (SRT) after adjusting with age in the training set. The overall prediction accuracy demonstrated a higher adjusted-R2 ranging from 0.74 to 0.89 at frequencies of 0.5, 1, and 2 kHz, whereas a low percentage of explained variance was observed at 4 kHz (adjusted-R2 = 0.41). This predictive model can serve as an adjunctive clinical tool for guiding determination of the PTTs. Moreover, the predicted PTTs can be applied in the hearing aid programming software to set appropriate hearing aid gain using standard prescriptive formulas.
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  • 文章类型: Journal Article
    Introduction  Auditory neuropathy spectrum disorder (ANSD) features the presence of otoacoustic emissions, poor speech identification score and absent auditory brainstem response. Objective  The present study was designed to evaluate the functioning of all six semicircular canals in individuals with ANSD and to compare it with those of normal-hearing individuals. Methods  A total of 50 individuals participated in the present study, in which Group I comprised 25 normal-hearing individuals, and Group II comprised 25 individuals with ANSD. All of the participants underwent case history, pure tone audiometry, immittance, otoacoustic emissions, auditory evoked response and video head impulse test (vHIT). Results  The independent sample t-test revealed significantly lower vestibulo-ocular reflex gain values in individuals with ANSD. A presence of 100% corrective refixation saccades was observed in the same group. The Pearson correlation test revealed no significant correlation between vestibulo-ocular reflex (VOR) gain with duration of hearing loss and pure tone thresholds for any of the three orthogonal planes. The chi-squared test revealed no association between the VOR gain values and the presence or absence of saccades in any of the semicircular canals ( p  > 0.05). Conclusion  Huge percentages of individuals with ANSD have been found to have associated vestibular dysfunction as well. Therefore, the vHIT can be used as one of the important tests of the vestibular test battery to evaluate all six semicircular canals in individuals with ANSD.
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  • 文章类型: Journal Article
    今天的听力学功能诊断是基于各种听力测试,其大量考虑到复杂的感觉器官系统的各种故障,以及在任何生命年龄以差异化的方式检查它的必要性。目的是确定听力损失的性质和起源,并量化其程度,以处置启动适当的医学(保守或操作)治疗或提供技术助听器或假肢所需的信息。此外,听力测量为评估残疾和残疾以及计算残疾程度提供了基础。在本概述中,描述了可用于实际使用的方法清单的当前状态,从基本诊断到复杂的特殊技术。演示文稿按主观程序系统地分组,基于心理声学探索,和客观的方法,基于物理测量:初步听力测试,纯音阈值,声强的超阈值处理,定向听证,在安静和噪音中的言语理解,双耳听觉,鼓室图,声反射,耳声发射和听觉诱发电位。除了一些仍然存在的差距,这种方法清单涵盖了所有临床相关的听觉系统功能缺陷的整个频谱。
    Today\'s audiological functional diagnostics is based on a variety of hearing tests, whose large number takes account of the variety of malfunctions of a complex sensory organ system and the necessity to examine it in a differentiated manner and at any age of life. The objective is to identify nature and origin of the hearing loss and to quantify its extent as far as necessary to dispose of the information needed to initiate the adequate medical (conservative or operational) treatment or the provision with technical hearing aids or prostheses. Moreover, audiometry provides the basis for the assessment of impairment and handicap as well as for the calculation of the degree of disability. In the present overview, the current state of the method inventory available for practical use is described, starting from basic diagnostics over to complex special techniques. The presentation is systematically grouped in subjective procedures, based on psychoacoustic exploration, and objective methods, based on physical measurements: preliminary hearing tests, pure tone threshold, suprathreshold processing of sound intensity, directional hearing, speech understanding in quiet and in noise, dichotic hearing, tympanogram, acoustic reflex, otoacoustic emissions and auditory evoked potentials. Apart from a few still existing gaps, this method inventory covers the whole spectrum of all clinically relevant functional deficits of the auditory system.
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  • 文章类型: Journal Article
    This research was to document intra- and intersubject variability in measures of pure tone thresholds, loudness discomfort levels, and the Contour test of loudness for tonal and speech stimuli across 8 to 10 repeated test sessions over a period of almost 1 year in a group of 11 normal-hearing, older middle-aged adults (39 to 73 years, mean of 56 years). The measured pure tone thresholds and loudness discomfort levels were determined to be stable across sessions, with variability on the order of 5 dB. The categorical judgments for the Contour test for both warbled tones and spondaic speech stimuli decreased over time in level required for categories greater than comfortable. This result contrasts with reports of a slight increase over time when young, normal-hearing adults were tested in comparable measures. The intrasubject variability in the Contour test results was greatest for the 4,000-Hz tonal stimulus for which the largest time effects were observed. The intersubject variability was typically greater than the intrasubject variability and typically increased as the loudness category increased, with some exceptions. The results from this study can be used to aid in power and sample size analyses using these measures in future studies designed to compare effects of treatments based on changes in loudness judgments over time.
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  • 文章类型: Journal Article
    OBJECTIVE: The loss of active cochlear mechanics causes elevated thresholds, loudness recruitment, and reduced frequency selectivity. The problems faced by hearing-impaired listeners are largely related with reduced dynamic range (DR). The aim of this study was to determine which index of the cochlear function tests correlates best with the DR to speech stimuli.
    METHODS: Audiological data on 516 ears with pure tone average (PTA) of ≤55 dB and word recognition score of ≥70% were analyzed. PTA, speech recognition threshold (SRT), uncomfortable loudness (UCL), and distortion product otoacoustic emission (DPOAE) were explored as the indices of cochlear function. Audiometric configurations were classified. Correlation between each index and the DR was assessed and multiple regression analysis was done.
    RESULTS: PTA and SRT demonstrated strong negative correlations with the DR (r = -0.788 and -0.860, respectively), while DPOAE sum was moderately correlated (r = 0.587). UCLs remained quite constant for the total range of the DR. The regression equation was Y (DR) = 75.238 - 0.719 × SRT (R(2 )=( )0.721, p < 0.001). The other variables such as audiometric configurations and DPOAE sum were excluded from the final model.
    CONCLUSIONS: SRT was the most predictive of the DR among the indices of the cochlear function tests. A reduced DR in cochlear hearing loss was the product of an elevated audiometric threshold and a relatively constant UCL level. The results enable prediction of the DR from SRT and possibly PTA using the suggested regression equation.
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