Digital Video Monitor and Analysis of Seizures with EEG

描述（由申请人提供）：我们建议基于符号学（视频记录）开发一个功能完整的原型系统，用于动物（主要是小鼠或大鼠或豚鼠）的自动化和高通量癫痫检测和分类。该项目的目的是首先开发能够通过视觉观察自动检测癫痫发作的技术和工具；然后在可能的情况下根据分类方案进一步对这些癫痫发作进行分类。视频检测和分类方法将与脑电分析方法相辅相成，以达到准确和精确的结果。这些检测和分类将以高通量模式进行，以满足日益增长的需求。该技术将在传统的脑电图（EEG）记录分析之外，为癫痫发作的检测和分析开辟一条新的途径，并能大大提高啮齿动物癫痫发作的检测和分类结果，从而为癫痫研究提供一个极其有力的工具。该技术还将提高观察鼠癫痫发作的质量，减轻观察鼠癫痫发作的负担，实现更加客观一致的分析。该技术还将有助于国土安全的化学防御。为此，本项目将包括行为研究、癫痫和癫痫发作观察与分析、计算机算法设计以及完整的系统集成等领域的研究。我们将利用我们在过去的DARPA项目以及目前的NIMH和NIDA项目中开发的数字视频处理和分析技术。

DESCRIPTION (PROVIDED BY APPLICANT): we propose to develop a completely functioning prototype system for automated and high-throughput seizure detection and classification in animals, mainly in mice or rats or guinea pigs, based on semiology (video record). The purposes of the project are to first develop technologies and tools that can automatically detect seizures through visual observation; then further classify those seizures according to a classification scheme when possible. The video detection and classification approach will complement EEG analysis approach to achieve accurate and precise results. These detection and classification will be conducted in high throughput mode to meet the increasing demand. This technology will open a new avenue to detecting and analyzing seizures besides traditional ictal epileptiform (EEG) recording analysis, and can greatly improve the results of detection and classification of seizures in rodents, thus providing an extremely powerful tool in epilepsy research. This technology will also improve the quality and alleviate the burden of observing rodents' seizures and achieve more objective and consistent analysis. The technology will also contribute to homeland security for chemical defense. For this purpose, this project will include studies in the areas of behavioral research, epilepsy and seizure observation and analysis, computer algorithm design, as well as complete system integration. We will make use of the technologies for digital video processing and analysis that we have developed with past DARPA projects and our current NIMH and NIDA projects.