On the application of model based distance metrics of signals for detection of brain injury

J. Paul, S. Tong, D. Sherman, Anastasios Bezerianos, N. Thakor
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引用次数: 2

Abstract

In the basic and clinical research on brain's response to injury, electrical signals from the brain, namely EEG, is useful in providing an immediate signaling of the dysfunction. However, EEG signals have proven to be difficult to analyze and interpret due it its complex signal characteristic. There is a critical need for developing robust and reliable measures that can be correlated with injury as well as survival. In this paper, we address a unique problem of characterizing quantitatively the electrical measures of brain injury for analysis of brain activity in animal and human subjects. The key objective is to model EEG spectra and its features so that signaling changes due to injury can be discovered. We do so with the method of autoregressive modeling and dominant frequency analysis. The trends in the electrical signaling following injury and following resuscitation are modeled using the cepstral distance derived from the AR model.
基于模型的信号距离度量在脑损伤检测中的应用
在脑损伤反应的基础和临床研究中,脑电信号即脑电图(EEG)在提供功能障碍的即时信号方面非常有用。然而,脑电图信号由于其复杂的信号特性,给分析和解释带来了困难。目前迫切需要开发与损伤和生存相关的稳健可靠的措施。在本文中,我们解决了一个独特的问题,即定量表征脑损伤的电测量,以分析动物和人类受试者的脑活动。关键目标是建立脑电频谱模型及其特征,以便发现损伤引起的信号变化。我们采用自回归建模和主导频率分析的方法来进行分析。损伤后和复苏后的电信号趋势使用来自AR模型的倒侧距离建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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5812
期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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