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1
Training improves cochlear implant rate discrimination on a psychophysical task.训练可提高在一项心理物理学任务中人工耳蜗的频率辨别能力。
J Acoust Soc Am. 2014 Jan;135(1):334-41. doi: 10.1121/1.4835735.
2
Efficacy of individual computer-based auditory training for people with hearing loss: a systematic review of the evidence.基于计算机的个体化听觉训练对听力损失人群的疗效:系统评价证据。
PLoS One. 2013 May 10;8(5):e62836. doi: 10.1371/journal.pone.0062836. Print 2013.
3
The influence of environmental sound training on the perception of spectrally degraded speech and environmental sounds.环境声音训练对频谱退化语音和环境声音感知的影响。
Trends Amplif. 2012 Jun;16(2):83-101. doi: 10.1177/1084713812454225. Epub 2012 Aug 12.
4
The effects of short-term computerized speech-in-noise training on postlingually deafened adult cochlear implant recipients.短期计算机化语音噪声训练对后天聋的成年人工耳蜗植入者的影响。
J Speech Lang Hear Res. 2013 Feb;56(1):81-8. doi: 10.1044/1092-4388(2012/11-0291). Epub 2012 Jun 28.
5
Auditory training in patients with unilateral cochlear implant and contralateral acoustic stimulation.单侧人工耳蜗植入和对侧声刺激患者的听觉训练。
Ear Hear. 2012 Nov-Dec;33(6):e70-9. doi: 10.1097/AUD.0b013e318259e5dd.
6
Digit training in noise can improve cochlear implant users' speech understanding in noise.在噪声环境中进行数字训练可以提高人工耳蜗使用者在噪声环境中的言语理解能力。
Ear Hear. 2011 Sep-Oct;32(5):573-81. doi: 10.1097/AUD.0b013e31820fc821.
7
Perception of environmental sounds by experienced cochlear implant patients.有经验的人工耳蜗植入患者对环境声音的感知。
Ear Hear. 2011 Jul-Aug;32(4):511-23. doi: 10.1097/AUD.0b013e3182064a87.
8
Cochlear implant-mediated perception of nonlinguistic sounds.人工耳蜗介导的非语言声音感知。
Ear Hear. 2010 Aug;31(4):505-14. doi: 10.1097/AUD.0b013e3181d99a52.
9
Effectiveness of computer-based auditory training for adult users of cochlear implants.基于计算机的听觉训练对成年人工耳蜗使用者的有效性。
Int J Audiol. 2010 May;49(5):347-56. doi: 10.3109/14992020903397838.
10
Environmental sound perception of cochlear implant users.人工耳蜗使用者的环境声音感知
Cochlear Implants Int. 2010 Dec;11(4):203-27. doi: 10.1002/cii.428.

人工耳蜗使用者的环境声音训练

Environmental sound training in cochlear implant users.

作者信息

Shafiro Valeriy, Sheft Stanley, Kuvadia Sejal, Gygi Brian

出版信息

J Speech Lang Hear Res. 2015 Apr;58(2):509-19. doi: 10.1044/2015_JSLHR-H-14-0312.

DOI:10.1044/2015_JSLHR-H-14-0312
PMID:25633579
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4675129/
Abstract

PURPOSE

The study investigated the effect of a short computer-based environmental sound training regimen on the perception of environmental sounds and speech in experienced cochlear implant (CI) patients.

METHOD

Fourteen CI patients with the average of 5 years of CI experience participated. The protocol consisted of 2 pretests, 1 week apart, followed by 4 environmental sound training sessions conducted on separate days in 1 week, and concluded with 2 posttest sessions, separated by another week without training. Each testing session included an environmental sound test, which consisted of 40 familiar everyday sounds, each represented by 4 different tokens, as well as the Consonant Nucleus Consonant (CNC) word test, and Revised Speech Perception in Noise (SPIN-R) sentence test.

RESULTS

Environmental sounds scores were lower than for either of the speech tests. Following training, there was a significant average improvement of 15.8 points in environmental sound perception, which persisted 1 week later after training was discontinued. No significant improvements were observed for either speech test.

CONCLUSIONS

The findings demonstrate that environmental sound perception, which remains problematic even for experienced CI patients, can be improved with a home-based computer training regimen. Such computer-based training may thus provide an effective low-cost approach to rehabilitation for CI users, and potentially, other hearing impaired populations.

摘要

目的

本研究调查了基于计算机的短期环境声音训练方案对有经验的人工耳蜗(CI)植入患者环境声音和言语感知的影响。

方法

14名平均有5年CI植入经验的患者参与了研究。方案包括两次间隔1周的预测试,随后在1周内分不同日期进行4次环境声音训练课程,最后是两次后测试课程,中间间隔1周不进行训练。每次测试包括一次环境声音测试,由40种熟悉的日常声音组成,每种声音由4个不同的样本表示,以及辅音-元音-辅音(CNC)单词测试和修订的噪声中的言语感知(SPIN-R)句子测试。

结果

环境声音得分低于任何一项言语测试得分。训练后,环境声音感知平均显著提高了15.8分,在训练停止1周后仍持续存在。两项言语测试均未观察到显著改善。

结论

研究结果表明,即使对于有经验的CI植入患者,环境声音感知仍然存在问题,但通过基于家庭的计算机训练方案可以得到改善。因此,这种基于计算机的训练可能为CI使用者以及其他听力受损人群提供一种有效的低成本康复方法。