Suppr超能文献

表面记录的脊髓体感诱发电位的特征与处理

Characterization and processing of surface recorded spinal somatosensory evoked potentials.

作者信息

Morin E, Scott R N, Parker P A

出版信息

Electroencephalogr Clin Neurophysiol. 1987 Jan;68(1):40-4. doi: 10.1016/0168-5597(87)90068-2.

Abstract

Somatosensory evoked potentials were recorded from the skin surface overlying the spinal cord, from the lower lumbar to the lower cervical regions. The recorded responses did not vary over time in any one individual and at each level a consistent wave shape was obtained across all individuals tested. Since the initial signal-to-noise ratio (SNR) for the evoked response recorded at any cord level is very low, the signal data must be processed. In this study, bandpass filtering or matched filtering was used together with ensemble averaging to obtain a usable signal in a reasonable processing time. SNR was improved approximately 1.5 X with bandpass filtering and 2 X with matched filtering. Although the output of the matched filter is a distorted version of the input signal, detection of information is enhanced and processing time using the matched filter and ensemble averaging can be reduced to 1/4 that required for ensemble averaging alone.

摘要

体感诱发电位是从脊髓上方的皮肤表面记录的,记录部位从下腰部到下颈部。在任何一个个体中,记录的反应随时间并无变化,并且在每个水平上,所有受试个体均获得了一致的波形。由于在任何脊髓水平记录的诱发反应的初始信噪比(SNR)都非常低,因此必须对信号数据进行处理。在本研究中,带通滤波或匹配滤波与总体平均一起使用,以便在合理的处理时间内获得可用信号。带通滤波使信噪比提高了约1.5倍,匹配滤波使其提高了2倍。尽管匹配滤波器的输出是输入信号的失真版本,但信息检测得到了增强,并且使用匹配滤波器和总体平均的处理时间可以减少到单独使用总体平均所需时间的1/4。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验