Date of Award
Medical Doctor (MD)
Kirk H. Shelley
There is a shortage of commercial software specifically designed for physiological waveform analysis using data from clinical monitors. The purpose of this thesis project is to address that shortage by creating a cross-platform, open-source, case-based physiologic waveform analysis tool designed specifically for clinicians. The software is written in Python and features an easy to use interface with a stepwise preprocessing, analysis, and output pipeline. It uses a custom binary file format for waveform storage and is able to read and store the output data from clinical monitor recording software used at Yale-New Haven Hospital. While it has a current focus on cardiac event based photoplethysmographic (PPG) contour analysis, it can easily be extended to analyze other waveform types. All of the code involved in the project can be found in the Appendix.
Guillod, Paul, "Design And Implementation Of A Clinical Waveform Analysis Tool" (2017). Yale Medicine Thesis Digital Library. 2126.