health life sciences medicine
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.
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Open Data Commons Attribution License v1.0
https://physionet.org/content/dchromatix/
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Data Chromatix was accessed on DATE from https://registry.opendata.aws/dchromatix.
arn:aws:s3:::physionet-open/dchromatix/us-east-1aws s3 ls --no-sign-request s3://physionet-open/dchromatix/