欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
诱发电位潜伏期变化的自适应检测对于诊断神经系统的损伤和病变具有重要的意义.本研究根据数字通信系统中广泛使用的μ律压缩原理,给出了一种在分数低阶α稳定分布噪声环境下,具有良好韧性的诱发电位潜伏期变化检测方法.计算机仿真结果表明,该算法能够根据信号噪声特性的变化,动态地调整自身的参数值,在抑制了分数低阶α稳定分布噪声的同时,有效保留了信号成分,具有较高的估计精度和良好的韧性.
英文摘要：
The adaptive latency change detection of EPs is of special interest in diagnosis of the injury and pathological change in the central nervous system（ CNS）. This paper proposed a new method for EP latency change detection based on the principle of μ-law compression used in the communication system. The experimental results demonstrated that the new method could adjust the parameters dynamicaly according to the noise variety and effective for restraining α-stable distribution noise and retaining the signal component. The improved performance and robustness over exiting algorithms were also demonstrated under the different noise conditions through computer simulation.
同期刊论文项目
同项目期刊论文
Robust propagation velocity estimation of gastric electrical activity by least mean p-norm blind cha
期刊信息
位置：