CLUSTERING AND HYPER LINKING OF LONG TERM EEGS

描述（改编自申请人摘要）：申报的EEG MagicMarker软件提供了一种新的显示方法， 分析数字化EEG记录。 相似EEG片段 活动聚集在一起， 背景、阵发性活动和患者状态转换， 例如，在一个实施例中，睡眠阶段 分析只考虑了 当前EEG，不需要阈值或分类 从训练集导出的函数。 一种新颖的用户界面允许交互式分区的 层次聚类树状图， 许多用户。 每个节点都可以展开或折叠， 单击左侧的加号或减号， 的节点。 用户操纵树以显示 适当的分区，并打印报告， 调查结果。 每个节点都包含 在该功率谱中的分段或通过δ的等值线图， θ α和β活动 来自群集的超链接 节点到申请人的Insight EEG审查软件提供 立即访问感兴趣的页面。

DESCRIPTION (Adapted from applicant's abstract): The proposed EEG MagicMarker software offers a new methodology for the display and analysis of digitized EEG records. Segments of similar EEG activity are clustered together, clearly differentiating background, paroxysmal activity, and patient state transitions, e.g., sleep stages. The analysis only considers the content of the current EEG and requires no thresholds or classification functions derived from a training set. A novel user interface allows interactive partitioning of the hierarchical cluster dendrogram in a method already familiar to many users. Each node can be expanded or collapsed revealing more or less detail by clicking on the plus or minus sign to the left of the node. The user manipulates the tree to display the appropriate partition and prints the report for a summary of their findings. Each node contains a complete visual summary of the segments in that power spectrum or by contour plots of delta, theta, alpha, and beta activities. Hyper-links from the cluster nodes to the applicant's Insight EEG review software offers immediate access to pages of interest.