目的 观察听力正常青年人独立调幅调频（independent amplitude and frequency modulation，IAFM）反应与言语识别率（word recognition score，WRS）的关系，探讨采用IAFM反应预估WRS的可能性。方法 21名听力正常青年受试者（21耳）以0...目的 观察听力正常青年人独立调幅调频（independent amplitude and frequency modulation，IAFM）反应与言语识别率（word recognition score，WRS）的关系，探讨采用IAFM反应预估WRS的可能性。方法 21名听力正常青年受试者（21耳）以0．5、1．0、2．0和4．0kHz为载波，振幅调制频率分别为79、87、95和103Hz，调幅深度分别为55％、50％、45％及35％；频率调制频率分别为85、93、101和109Hz，调制深度分别为35％、30％、20％及35％，四个IAFM声同时给出，单耳给声。分别测试20、30、40、50、60、70、80和90dB SPL的IAFM有意义反应数和WRS，观察两者之间的相关性。结果 IAFM反应数与强度的线性相关系数为0．844（P〈0．01），WRS与强度的线性相关系数为0．785（P〈0．01），IAFM反应数与WRS的线性相关系数为0．785（P〈0．01）；IAFM反应数与WRS的偏相关系数（强度为控制因素）为0．371（P〈0．01）。结论 调制频率在70～110Hz的IAFM反应能够反映耳蜗和脑干对频率和振幅变化的分辨能力，与WRS有显著的相关性，有可能成为评价言语感知所必需的声学信息分辨能力的客观工具。从而成为评价和预估言语识别功能的措施之一。展开更多
This study addresses the problem of classifying emotional words based on recorded electroencephalogram （EEG） signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used a...This study addresses the problem of classifying emotional words based on recorded electroencephalogram （EEG） signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used as experimental materials. Positive words versus neutral words and negative words versus neutral words are classified, respectively, using the induced EEG signals. The method of temporally regularized common spatial patterns （TRCSP） is chosen to extract features from the EEG trials, and then single-trial EEG classification is achieved by linear discriminant analysis. Classification accuracies are between 55% and 65%. The statistical significance of the classification accuracies is confirmed by permutation tests, which shows the successful identification of emotional words and neutral ones, and also the ability to identify emotional words. In addition, 10 out of 15 subjects obtain significant classification accuracy for negative words versus neutral words while only 4 are significant for positive words versus neutral words, which demonstrate that negative emotions are more easily identified.展开更多
目的设计开发基于智能手机的数字助听器自主验配系统并验证该系统验配助听器的可行性。方法对11例(22耳)中度到极重度听力损失患者分别采用自主验配系统和传统助听器验配方法进行双耳助听器验配,验配前后均行纯音听阈和言语识别率测试,...目的设计开发基于智能手机的数字助听器自主验配系统并验证该系统验配助听器的可行性。方法对11例(22耳)中度到极重度听力损失患者分别采用自主验配系统和传统助听器验配方法进行双耳助听器验配,验配前后均行纯音听阈和言语识别率测试,分析结果。结果 22耳裸耳、传统验配和自主验配助听器后的平均纯音听阈分别为64.94±10.84、32.89±5.32和32.67±5.19 dB HL,言语识别率分别为57.09%±9.73%、79.45%±8.13%和78.54%±6.82%,自主验配助听器前后的平均听阈和平均言语识别率差异均有统计学意义(P<0.05),且自主验配与传统验配助听器后的纯音平均听阈值和言语识别率差异均无统计学意义(均为P>0.05)。结论应用基于智能手机的数字助听器自主验配系统对听力损失患者进行助听器验配是可行的,可以尝试采用该系统对听障患者进行助听器验配。展开更多
基金The National Natural Science Foundation of China(No.61375118)the Program for New Century Excellent Talents in University of China(No.NCET-12-0115)
文摘This study addresses the problem of classifying emotional words based on recorded electroencephalogram （EEG） signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used as experimental materials. Positive words versus neutral words and negative words versus neutral words are classified, respectively, using the induced EEG signals. The method of temporally regularized common spatial patterns （TRCSP） is chosen to extract features from the EEG trials, and then single-trial EEG classification is achieved by linear discriminant analysis. Classification accuracies are between 55% and 65%. The statistical significance of the classification accuracies is confirmed by permutation tests, which shows the successful identification of emotional words and neutral ones, and also the ability to identify emotional words. In addition, 10 out of 15 subjects obtain significant classification accuracy for negative words versus neutral words while only 4 are significant for positive words versus neutral words, which demonstrate that negative emotions are more easily identified.
文摘目的设计开发基于智能手机的数字助听器自主验配系统并验证该系统验配助听器的可行性。方法对11例(22耳)中度到极重度听力损失患者分别采用自主验配系统和传统助听器验配方法进行双耳助听器验配,验配前后均行纯音听阈和言语识别率测试,分析结果。结果 22耳裸耳、传统验配和自主验配助听器后的平均纯音听阈分别为64.94±10.84、32.89±5.32和32.67±5.19 dB HL,言语识别率分别为57.09%±9.73%、79.45%±8.13%和78.54%±6.82%,自主验配助听器前后的平均听阈和平均言语识别率差异均有统计学意义(P<0.05),且自主验配与传统验配助听器后的纯音平均听阈值和言语识别率差异均无统计学意义(均为P>0.05)。结论应用基于智能手机的数字助听器自主验配系统对听力损失患者进行助听器验配是可行的,可以尝试采用该系统对听障患者进行助听器验配。
