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1.
目的 探讨利用噪声下数字言语测试(digits in noise,DIN)预测不同程度听力损失的实用性和有效性.方法 纳入听力正常者70名;听力损失患者共94例,包括轻度组36例,中度组34例及重度组24例.将纯音听阈PTA0.5~4 kHz与言语识别阈(speech reception threshold,SRT)进...  相似文献   

2.
目的研究听觉系统发育成熟度对母语普通话儿童安静及噪声环境下言语识别能力的影响,获得声场下儿童版普通话噪声下言语测试(Mandarin hearing in noise test for children,MHINT-C)各年龄组的校准因子。方法选取听力正常、母语为普通话、年龄6~17周岁儿童(每年龄组20人左右)及18~25周岁成人(20人)为受试者,进行声场下安静环境及噪声前方、噪声侧方环境的MHINT测试,获得各年龄组儿童和成人在各测试环境下的言语识别阈(speech reception threshold,SRT),并通过比较分析获得各年龄组儿童的校准因子。结果获得了各组受试者在安静环境和三种噪声环境下的SRT,安静环境下成人组SRT与6、7、8岁各组儿童SRT差异有显著统计学意义(P<0.01),噪声环境下成人组SRT与6~13周岁各组SRT差异均有显著统计学意义(P<0.01)。建立了6~13周岁儿童声场下MHINT-C测试的年龄校准因子。结论本研究建立了6~13周岁儿童声场下MHINT-C测试的年龄校准因子,为临床对听力损失儿童的早期干预和康复提供理论依据和指导。  相似文献   

3.
目的 探讨利用噪声下数字言语测试(digits in noise,DIN)预测不同程度听力损失的实用性和有效性。方法  纳入听力正常者70名;听力损失患者共94例,包括轻度组36例,中度组34例及重度组24例。将纯音听阈PTA0.5~4 kHz与言语识别阈(speech reception threshold,SRT)进行相关性分析,绘制受试者工作特征曲线(receiver operating characteristic curve,ROC)。结果 SRT值与PTA0.5~4 kHz呈现较好的正相关关系。用SRT值区分轻度、中度、重度听力损失的ROC曲线显示DIN具有良好的诊断及分类功能。通过计算不同听力损失程度的最佳截断值,得出当SRT≤-16.4 dB、-16.4 dB相似文献   

4.
目的 研究听觉系统发育成熟度对母语普通话儿童安静及噪声环境下言语识别能力的影响,获得声场下儿童版普通话噪声下言语测试(Mandarin hearing in noise test for children,MHINT-C)各年龄组的校准因子.方法 选取听力正常、母语为普通话、年龄6~17周岁儿童(每年龄组20人左右)及18~25周岁成人(20人)为受试者,进行声场下安静环境及噪声前方、噪声侧方环境的MHINT测试,获得各年龄组儿童和成人在各测试环境下的言语识别阈(speech reception threshold,SRT),并通过比较分析获得各年龄组儿童的校准因子.结果 获得了各组受试者在安静环境和三种噪声环境下的SRT,安静环境下成人组SRT与6、7、8岁各组儿童SRT差异有显著统计学意义(P<0.01),噪声环境下成人组SRT与6~13周岁各组SRT差异均有显著统计学意义(P<0.01).建立了6~13周岁儿童声场下MHINT-C测试的年龄校准因子.结论 本研究建立了6~13周岁儿童声场下MHINT-C测试的年龄校准因子,为临床对听力损失儿童的早期干预和康复提供理论依据和指导.  相似文献   

5.
目的:使用普通话版噪声下言语测试材料(mandarinhearinginnoisetest,MHINT),得到听力正常不同方言人群的MHINT测试结果。方法:选择听力正常、母语非普通话受试者82名完成MHINT测试。结果进行统计学分析,并与母语普通话结果进行比较。结果:得到母语非普通话82名受试者的328个结果。母语非普通话受试者和母语普通话受试者之间在安静环境,噪声方位0°、90°、270°的测试结果均差异有统计学意义(均P<0.01);母语非普通话高学历受试者与母语非普通话低学历受试者之间结果差异有统计学意义(P<0.01)。母语非普通话受试者按年龄、讲普通话时间等因素之间测试结果差异无统计学意义(P>0.05)。结论:母语非普通话人群进行MHINT测试,与母语普通话人群相比需要更高的言语信号声和信噪比。影响MHINT测试结果的因素有受试者母语是否为普通话以及受试者的文化水平。  相似文献   

6.
噪声下言语理解困难是许多感音神经性聋患者和助听器、人工耳蜗等助听装置使用者常见的问题。评估听障患者噪声下的言语理解能力非常重要。本文就国内外主要的成人噪声下言语测试进行综述,以期为临床应用提供参考。  相似文献   

7.
目的开发一套标准的普通话版快速噪声下言语测听材料,评估依据听力学要求和语言学特征选取的300个语句材料的等价性,并获得其在50%正确识别时所对应的信噪比(记为SNR-50)的正常值。方法首先将这些语句材料按照数字化录制原则录制为女声音频材料,背景噪声为4人同时谈话的言语噪声。言语声和噪声混合在一起。选取30例正常受试者,采用听说复述方式,分别在+6、+3、0、-3、-6 dB信噪比条件下测试。对测试所得结果使用SPSS17.0统计软件进行数据分析和强度-识别率函数曲线的拟合。结果 300个语句在噪声环境下测试结果分析显示,斜率和阈值不呈正态分布。剔除斜率过大(>0.72)的语句,及曲线拟合相关系数过小(r<0.7)的语句,精选出等价性较好的78句。后者呈正态分布。结论经过对300个语句的等价性评估,经过严格的筛选及精细调整,最终保留的78个语句在正常人中的等价性较好,下一步可进行这些语句复测信度的测试。  相似文献   

8.
目的评估老年性聋患者噪声下言语识别能力,探讨年龄、听力损失程度、认知功能对其噪声下言语识别能力的影响。方法选取2018年10月~2020年4月就诊的70例60岁及以上老年性聋患者为研究对象,按年龄分为60~69岁(20例40耳)、70~79岁(28例56耳)、≥80岁(22例44耳)三组,各组分别进行纯音听阈测试、简易智能精神状态量表(mini-mental state examination,MMSE)评估及普通话快速噪声下言语测试(Mandarin quick speech-in-noise test,M-Quick SIN),分别获得双耳0.5、1、2、4 kHz纯音平均听阈(pure-tone audiometry,PTA)、MMSE量表总得分及双耳信噪比损失(signal-to-noise ratio loss,SNR loss);分析年龄、平均听阈、MMSE量表得分对信噪比损失的影响。结果①60~69岁组SNR loss(5.25±5.42)dB明显小于70~79岁组(11.54±6.05)dB和≥80岁组(11.86±6.06)dB(P<0.01);70~79岁组和≥80岁组间SNR loss差异无统计学意义(P>0.05)。②SNR loss随PTA提高而升高,各组间差异均有显著统计学意义(P<0.01)。③MMSE量表得分对SNR loss的主效应不显著(P>0.05)。结论年龄、听力损失程度为老年性聋患者噪声下言语识别的主要影响因素;在一定范围内随着年龄增加,听力损失加重,其噪声下言语识别能力降低。  相似文献   

9.
目的 开发普通话版可接受噪声级(acceptable noise level,ANL)测试材料.方法 从小学、初中和高中语文教材中选取3篇难易程度不同的短文材料;选取31例听力言语正常人分别进行3种材料的ANL测试,获得3种材料下的最舒适响度级(most comfortable loudness,MCL)、最大背景噪声...  相似文献   

10.
目的 获得普通话噪声下言语测试( mandarin hearing in noise test, MHINT)材料的年龄适用范围,并探讨左右侧噪声、信号与噪声空间分离优势等因素对言语识别能力的影响.方法 使用MHINT测试材料对80名14~17周岁正常听力、母语为普通话的青少年按不同年龄(每周岁一组,共分4组)进行四种环境下(安静环境、前方噪声环境、右侧噪声环境,左侧噪声环境)的测试,将获得的言语识别阈(SRT)与成人组结果进行比较.结果 14岁组和15岁组与成人组四种测试环境下SRT及空间分离优势差异均有统计学意义(P<0.05);16岁组和17岁组与成人组四种测试环境下SRT及空间分离优势差异均无统计学意义(P>0.05).除15岁组外,其余各组左右侧噪声环境下SRT差异无统计学意义(P>0.05).结论 成人版MHINT是一种快速有效的评估安静和噪声环境下听觉言语交流能力的测试,可推荐用于正常听力16周岁及以上的人群.  相似文献   

11.
IntroductionOne of the main implications of hearing impairment is the difficulty in perceiving speech sounds, especially in noisy environments. Thus, the frequency-modulated system is considered an important educational tool for children with hearing impairment because it improves speech perception in acoustically-unfavorable environments, such as in the classroom. The assessment of speech perception in noise is included in the verification protocol of this device.ObjectivesTo verify the effectiveness of the phrases in noise test Brazil in children with hearing impairment using an frequency-modulated system.MethodsThis was a cross-sectional cohort study. The sample included 40 children, aged 4 years to 11 years and 11 months old, divided into 4 groups: (1) 10 normal hearing children; (2) 13 children with hearing aids and frequency-modulated system; (3) 12 children using cochlear implant and fitted with the frequency-modulated system; and (4) 5 children diagnosed with auditory neuropathy spectrum disorder, fitted with hearing aids and/or cochlear implant and with the frequency-modulated system. The phrases in noise test Brazil was used to evaluate speech perception in noise under the conditions with and without the frequency-modulated system. For the statistical analysis of the data, a significance level of 5% (p < 0.05) was adopted.ResultsThere was a significant difference between the groups when they were evaluated with the frequency-modulated system. The test was also validated through concurrent and convergent validation measures. Phrases in noise test Brazil is a viable option for monitoring auditory performance in noise in different groups of children with hearing impairmen.ConclusionPhrases in noise test Brazil was effective in assessing speech perception in noise and may contribute to the improvement of the indication, fitting and follow-up protocols for the frequency-modulated system use.  相似文献   

12.
噪声下言语测听能较好地模拟日常交流的言语环境,且在评估受试者听力言语能力、指导听力障碍人士听力康复等方面发挥着不可替代的作用。随着噪声下言语测听在临床中的应用,临床迫切需要大量相关等价的言语测听材料以促进临床听力学的发展。本文主要阐述了国内外噪声下言语测听的发展现状、临床应用及相关测听材料的编制,为我国噪声下言语测听材料的开发提供帮助。  相似文献   

13.
目的研究普通话版可接受噪声级(Mandarin acceptable noise level,M-ANL)测试及普通话版噪声下听力测试(Mandarin hearing in noise test,MHINT)在老年性聋助听器验配效果评估中的作用。方法对20名中度至中-重度的老年性聋助听器验配的患者进行助听后的M-ANL及MHINT测试;采用Na-belek的国际分级标准,根据受试者的M-ANL值将其分为M-ANL值<7d B组和M-ANL值≥7d B组。采用面对面的方式对受试者进行助听器效果国际性问卷(International outcome Inventory for hearing aids,IOI-HA)调查,获得IOI-HA的子量表1、子量表2及总得分;分析M-ANL值及MHINT得分与IOI-HA子量表1、子量表2、及总得分的相关性;比较两组IOI-HA量表得分及MHINT得分的差异性。结果(1)M-ANL值与IOI-HA子量表1和量表总得分无相关性(P>0.05),与子量表2存在负相关(r=-0.528,P<0.05);MHINT得分与IOI-HA子量表1、2、及总得分之间均存在相关性(P<0.05);(2)M-ANL值<7d B HL组与M-ANL值≥7d B HL组的IOI-HA子量表1、子量表2、及总得分均无明显的统计学差异;(3)M-ANL值<7d B组的MHINT平均得分为78.6±26.5%;M-ANL值≥7d B组的MHINT平均得分为52.4±9.2%,差异具有统计学意义(P<0.05)(4)M-ANL值与MHINT得分呈现负相关(r=-0.505,P=0.023);差异具有统计学意义,M-ANL值越小,MHINT得分越高。结论 M-ANL测试及MHINT测试,在助听器效果评估方面有着不同的临床应用价值,M-ANL测试或许可以用于预估助听器的验配效果,而MHINT测试建议主要用于助听器验配后的效果评估。  相似文献   

14.
Traditionally, the speech reception threshold (SRT) for sentences in noise is measured in stationary speech-shaped noise; however, non-stationary masking noises are gradually becoming more common. A previous study by Rhebergen et al. () suggested that a learning effect might be present for the SRT in interrupted noise but not in stationary noise. The current study tested if a stable SRT for female or male speech is reached by determining SRTs in listeners with normal hearing in either stationary or 8-Hz interrupted noise after five replications. Contrary to repeated SRT measurements in stationary noise, a significant improvement was observed for SRTs in interrupted noise with replication. For both speech materials, after five replications, the SRT in interrupted noise improved about 3 to 4 dB in comparison to the first SRT. Stable thresholds seem to be reached after about two replications. This experiment shows that there is a substantial learning effect present in SRT measurements with interrupted noise but not in stationary noise. With non-stationary noise, it is recommended to include a repeated measures design.  相似文献   

15.
目的 探讨噪声频谱特性对词汇识别的影响作用。方法 31名听力正常成人参与研究,研究采用汉语普通话词汇相邻性测试,分别获得言语谱噪声(speech spectrum-shaped noise,SSN)和多人谈话噪声(babble noise,BN)下不同信噪比(signal noise ratio,SNR)的言语识别率,并计算词汇识别率为20%、50%和80%时所需要SNR和斜率,进而分析噪声频谱特性对词汇识别的影响作用。结果 SSN条件下单音节词和双音节词的言语识别阈,即正确识别率为50%所对应的SNR(SNR50)分别为-4.83 dB和-7.63 dB(t 50=11.918,P<0.05),对应斜率分别为5.61和11.14(t 50=-7.006,P<0.05)。BN条件下单音节词和双音节词的SNR50分别为-3.34 dB和-5.52 dB(t 50=8.860,P<0.05),对应斜率分别为6.04和9.28(t 50=-4.316,P<0.05)。统计显示SSN和BN下单、双音节词识别阈均有统计学差异(t 50M=-5.037,t 50D=-10.275,P<0.05),两类噪声下双音节词的斜率有统计学差异(t 50D=2.920,P<0.05)。结论 BN噪声频谱掩蔽效应比SSN更强。在两种噪声下,单音节词均需要更高的SNR,才能达到和双音节词相同的词汇识别。  相似文献   

16.
The HINT provides an efficient and reliable method of assessing speech intelligibility in quiet and in noise by using an adaptive strategy to measure speech reception thresholds for sentences, thus avoiding ceiling and floor effects that plague traditional measures performed at fixed presentation levels. A strong need for such a test within the Canadian Francophone population, led us to develop a French version of the HINT. Here we describe the development of this test. The Canadian French version is composed of 240-recorded sentences, equated for intelligibility, and cast into 12 phonemically balanced 20-sentence lists. Average headphone SRTs, measured with 36 adult Canadian Francophone native speakers with normal hearing, were 16.4?dBA in quiet, ?3.0?dBA SNR in a 65?dBA noise front condition and ?11.4?dBA SNR in a 65?dBA noise side condition. Reliability was established by means of within-subjects standard deviation of repeated SRT measurements over different lists and yielded values of 2.2 and 1.1?dB for the quiet and noise conditions, respectively.  相似文献   

17.
Objective: Controlled clinical test environments are very different from real-life listening situations in which speaker and background noise level variations can hinder a person’s ability to hear and follow conversations. This study was performed to evaluate the ability of people with normal hearing to follow a single speaker in the presence of background noise, and to explore relations between those measures and the listeners’ subjective assessments, listening effort, and sound quality judgements.

Methods: A group of adults with normal hearing were evaluated using the following battery of tests: (i) Roving Level Test, (ii) the Just Understanding Speech Test, (iii) Performance Perceptual Test, (iv) the Visual Analogue Scale to evaluate listening effort, and (iv) with a sound quality questionnaire.

Results: The results show that people with normal hearing tend to accurately estimate their hearing abilities, and both the listening effort required and speech recognition thresholds tend to increase with increasing background noise.

Discussion: Implementing a battery of tests that evaluate speech-in-noise listening abilities, listening effort, and subjective hearing perception might provide greater insight into hearing performance than traditional measures. Additionally, the data generated in this study can be used for comparison with measures obtained from hearing impaired and hearing device listeners, and as such, has the potential to guide counselling and rehabilitation to a range of clinical populations.

Conclusion: The examination of both the self-estimated and verified performance measurements in simulated real-life listening situations can provide audiologists with a comprehensive and realistic profile of a person’s hearing performance.  相似文献   

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