Cherrid Nada, Naït-Ali Amine, Siarry Patrick
Université Paris 12, LERISS 61, Avenue du Général de Gaulle, 94010 Créteil, France.
Med Eng Phys. 2005 Oct;27(8):705-11. doi: 10.1016/j.medengphy.2004.12.006.
The extraction of Brainstem Auditory Evoked Potentials (BAEPs), from the EEG background, is of high clinical interest. The present paper can be considered as a continuation of our previous work related to the BAEP estimation in endocochlear pathologies. In our previous published work, we proposed a technique for time delay estimation on the basis of the BAEPs in response to successive stimulations. Put in a different manner, our objective was the estimation of the dynamics of the cochlea that is responsible for the delayed responses. The estimation technique was based on optimization of a non-linear criterion by means of Simulated Annealing Time Delay Estimation (SATDE) algorithm. However, it is well known that such heuristic algorithms are time consuming and largely depend on the number of parameters to be estimated. The present paper demonstrates that modeling the non-stationarity of responses considerably decreases the convergence time to the global minimum. The newly proposed method in this paper, called Fast Simulated Annealing Time Delay Estimation (FSATDE) algorithm, has been validated on both simulated and real signals.
从脑电图背景中提取脑干听觉诱发电位（BAEPs）具有很高的临床意义。本文可视为我们之前关于内耳疾病中BAEP估计工作的延续。在我们之前发表的工作中，我们提出了一种基于连续刺激下BAEPs的时间延迟估计技术。换一种说法，我们的目标是估计导致延迟反应的耳蜗动态。该估计技术基于通过模拟退火时间延迟估计（SATDE）算法对非线性准则进行优化。然而，众所周知，此类启发式算法耗时且在很大程度上取决于待估计参数的数量。本文表明，对反应的非平稳性进行建模可显著减少收敛到全局最小值的时间。本文新提出的方法，称为快速模拟退火时间延迟估计（FSATDE）算法，已在模拟信号和真实信号上得到验证。
