目的研究正常成年人水平特异性CE-Chirp(level specific CE-Chirp,CE-Chirp LS)刺激声与Click刺激声诱发听性脑干反应(auditory brainstem response,ABR)反应阈与纯音听阈的关系及在不同声强下两种刺激声所诱发的ABR波形特点,探讨CE-Chi...目的研究正常成年人水平特异性CE-Chirp(level specific CE-Chirp,CE-Chirp LS)刺激声与Click刺激声诱发听性脑干反应(auditory brainstem response,ABR)反应阈与纯音听阈的关系及在不同声强下两种刺激声所诱发的ABR波形特点,探讨CE-Chirp LS声诱发的ABR在听觉功能客观评估中的应用价值。方法选择正常成年人21例(共42耳)分别在0.5、1.0、2.0、4.0 kHz进行纯音气导听阈测试,获取其双耳各频率的纯音听阈,分别采用CEChirp LS刺激声与Click刺激声诱发ABR,测量2种刺激声在80、60、40 dB nHL的Ⅴ波波幅,获得2种刺激声下受试者的Ⅴ波反应阈,获取其在80 dB nHL刺激强度时Ⅰ、Ⅲ、Ⅴ波潜伏期。按照自身对照的方法对相同刺激强度下2种刺激声诱发的ABR潜伏期及波幅差异性进行统计分析,比较2种刺激声下Ⅴ波反应阈与纯音听阈差值。结果正常成年人80、60、40 dB nHL刺激强度下,CE-Chirp LS刺激声诱发的ABR的Ⅴ波波幅均大于Click刺激声,差异有统计学意义(P<0.001);CE-Chirp LS刺激声诱发的ABR的V波反应阈与纯音平均听阈差值均低于Click刺激声,差异有统计学意义(P<0.05);80 dB nHL声强下CE-Chirp LS刺激声Ⅰ波潜伏期长于Click刺激声,差异有统计学意义(P<0.001),CE-Chirp LS刺激声Ⅲ、Ⅴ波潜伏期与Click刺激声比较,差异无统计学意义(P>0.05)。结论正常成年人CE-Chirp LS刺激声与Click刺激声比较,无论在高强度还是低强度刺激下波幅均明显增大,Ⅴ波反应阈更接近于纯音听阈,更有利于纯音听阈判定,但潜伏期个体差异更大。展开更多
An efficient unbiased estimation method is proposed for the direct identification of linear continuous-time system with noisy input and output measurements.Using the Gaussian modulating filters,by numerical integratio...An efficient unbiased estimation method is proposed for the direct identification of linear continuous-time system with noisy input and output measurements.Using the Gaussian modulating filters,by numerical integration,an equivalent discrete identification model which is parameterized with continuous-time model parameters is developed,and the parameters can be estimated by the least-squares (LS) algorithm.Even with white noises in input and output measurement data,the LS estimate is biased,and the bias is determined by the variances of noises.According to the asymptotic analysis,the relationship between bias and noise variances is derived.One equation relating to the measurement noise variances is derived through the analysis of the LS errors.Increasing the degree of denominator of the system transfer function by one,an extended model is constructed.By comparing the true value and LS estimates of the parameters between original and extended model,another equation with input and output noise variances is formulated.So,the noise variances are resolved by the set of equations,the LS bias is eliminated and the unbiased estimates of system parameters are obtained.A simulation example by comparing the standard LS with bias eliminating LS algorithm indicates that the proposed algorithm is an efficient method with noisy input and output measurements.展开更多
文摘目的研究正常成年人水平特异性CE-Chirp(level specific CE-Chirp,CE-Chirp LS)刺激声与Click刺激声诱发听性脑干反应(auditory brainstem response,ABR)反应阈与纯音听阈的关系及在不同声强下两种刺激声所诱发的ABR波形特点,探讨CE-Chirp LS声诱发的ABR在听觉功能客观评估中的应用价值。方法选择正常成年人21例(共42耳)分别在0.5、1.0、2.0、4.0 kHz进行纯音气导听阈测试,获取其双耳各频率的纯音听阈,分别采用CEChirp LS刺激声与Click刺激声诱发ABR,测量2种刺激声在80、60、40 dB nHL的Ⅴ波波幅,获得2种刺激声下受试者的Ⅴ波反应阈,获取其在80 dB nHL刺激强度时Ⅰ、Ⅲ、Ⅴ波潜伏期。按照自身对照的方法对相同刺激强度下2种刺激声诱发的ABR潜伏期及波幅差异性进行统计分析,比较2种刺激声下Ⅴ波反应阈与纯音听阈差值。结果正常成年人80、60、40 dB nHL刺激强度下,CE-Chirp LS刺激声诱发的ABR的Ⅴ波波幅均大于Click刺激声,差异有统计学意义(P<0.001);CE-Chirp LS刺激声诱发的ABR的V波反应阈与纯音平均听阈差值均低于Click刺激声,差异有统计学意义(P<0.05);80 dB nHL声强下CE-Chirp LS刺激声Ⅰ波潜伏期长于Click刺激声,差异有统计学意义(P<0.001),CE-Chirp LS刺激声Ⅲ、Ⅴ波潜伏期与Click刺激声比较,差异无统计学意义(P>0.05)。结论正常成年人CE-Chirp LS刺激声与Click刺激声比较,无论在高强度还是低强度刺激下波幅均明显增大,Ⅴ波反应阈更接近于纯音听阈,更有利于纯音听阈判定,但潜伏期个体差异更大。
基金Project(50875028) supported by the National Natural Science Foundation of China
文摘An efficient unbiased estimation method is proposed for the direct identification of linear continuous-time system with noisy input and output measurements.Using the Gaussian modulating filters,by numerical integration,an equivalent discrete identification model which is parameterized with continuous-time model parameters is developed,and the parameters can be estimated by the least-squares (LS) algorithm.Even with white noises in input and output measurement data,the LS estimate is biased,and the bias is determined by the variances of noises.According to the asymptotic analysis,the relationship between bias and noise variances is derived.One equation relating to the measurement noise variances is derived through the analysis of the LS errors.Increasing the degree of denominator of the system transfer function by one,an extended model is constructed.By comparing the true value and LS estimates of the parameters between original and extended model,another equation with input and output noise variances is formulated.So,the noise variances are resolved by the set of equations,the LS bias is eliminated and the unbiased estimates of system parameters are obtained.A simulation example by comparing the standard LS with bias eliminating LS algorithm indicates that the proposed algorithm is an efficient method with noisy input and output measurements.
