Classification of MIMIC-IV ECGs

Prerequisites

• Put an X between the brackets on this line if you have done all of the following:
  • Checked the online documentation: https://mimic.mit.edu/
  • Checked that your issue isn't already addressed: https://github.com/MIT-LCP/mimic-code/issues?utf8=%E2%9C%93&q=

Description

Description of the issue, including:

• what you have tried
• references to similar issues
• queries demonstrating your question (if applicable)

I am currently working with MIMIC-IV ECGs as part of one of my research project. To continue using MIMIC-IV ECGs, I first have to classify the ECGs into different disease categories based on their diagnosis.

I see that there are multiple report columns in machine_measurements.csv file. I am currently unsure about how to separate the ECGs into healthy (normal sinus rhythm) and unhealthy or other disease conditions. Since, there are multiple report columns and each column have different diagnosis statements, this makes it difficult to get the normal ECGs.

Any suggestions or feedback is appreciated!!
Looking forward to get some answers.

Thank you!,
Sanketa

Start with the MIMIC online documentation and the report columns in machine_measurements.csv. Determine how the multiple diagnosis statements should be interpreted for ECG classification; done would require a documented, reproducible way to separate normal from other conditions, with any needed examples or queries.