Data Chromatix

Analysis of biomedical time series plays a key role in clinical management and basic investigation. However, most conventional monitors streaming data in real-time show only the most recent values, not referenced to past dynamics. The proposed visualization method (termed “data chromatix”) was developed to address this challenge by bringing memory of the system’s past behavior into the current display window.

The function DataChromatix.m (version 1.0) assigns a color to each data point of a time series. The color is determined by the values of a normalized histogram (estimated probability density function) computed from a pre-selected segment of the data. The algorithm receives the time series as input and generates a video of its colorized version as it would look on a typical monitor display, as well as a static graph of the entire colorized signal.

生物医学时间序列分析在临床管理和基础研究中扮演着至关重要的角色。然而，大多数传统的实时数据流监控设备仅展示最新的数值，而未参考过去的动态变化。为应对这一挑战，提出了一种名为“数据色谱”的视觉化方法，旨在将系统过去行为的记忆引入当前显示窗口。

DataChromatix.m函数（版本1.0）为时间序列中的每个数据点分配一种颜色。该颜色由从预先选定的数据段计算得到的归一化直方图（估计概率密度函数）的值决定。该算法接收时间序列作为输入，并生成其彩色版本的视频，模拟其在典型监控器显示屏上的显示效果，同时生成整个彩色信号的静态图形。