OSU Capstone Project 2020-21 - Natalie & Julian
Paper ECG
An application for digitizing ECG scans. (OSU Capstone Project 2020-21)
See ecgdigitize for the library implementing the grid and signal digitization. Cite published manuscript: J. D. Fortune, N. E. Coppa, K. T. Haq, H. Patel and L. G. Tereshchenko. Digitizing ECG image: a new method and open-source software code. Computer Methods and Programs in Biomedicine 2022 Pages 106890. DOI: https://doi.org/10.1016/j.cmpb.2022.106890 https://www.sciencedirect.com/science/article/pii/S0169260722002723
Authors
- Natalie Coppa
- Julian Fortune
- Larisa Tereschenko (tereshch at ohsu.edu)
- Kazi Haq
- Hetal Patel
Overview
This application allows digitizing paper ECG image scans, such as this one:

To produce digital signals, like these:

Installation
Download the latest release here.
User Guide
Read the user guide here
Contributing
Follow the set-up instructions:
You should now have:- Python 3.6.7
- Virtual environment
- All required packages
pyenv)
You can now run:
fbs run
Or, on Windows, you may need to run:
py -3.6 -m fbs run
This will start the interpreted version of the project.
Build
In order to create an executable that can be distributed, run:
fbs build
Or, on Windows, you may need to run:
py -3.6 -m fbs build
This only builds an executable targeting the current OS (i.e., virtualization or multiple machines is necessary to produce builds for each OS).
Contributing
View the issues list to see what tasks are available to work on.
Dependencies
The project currently requires Python 3.6.7 to work with fbs (see 3.7 support issue).
Build Notes
- Detailed guide on PyQt + fbs + macOS building and releasing.
- Dark mode doesn't work on macOS when
frozen.
Capstone
See our sprint documents here.
Manuscript to cite
Fortune JD, Coppa NE, Haq KT, Patel H, Tereshchenko LG. Digitizing ECG image: A new method and open-source software code. Comput Methods Programs Biomed. 2022 Jun;221:106890. doi: 10.1016/j.cmpb.2022.106890. Epub 2022 May 14. PMID: 35598436; PMCID: PMC9286778.