qrs detector improvements
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enhancement
help wanted
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Description
This will be the single thread for discussing improvements for qrs detectors. I will probably only be working on the xqrs class in the near future.
Current thoughts:
- The filter used to accentuate the qrs (we'll call this the moving wave integration filter) is currently an upright ricker with a fixed width:
wavelet_filter = signal.ricker(self.qrs_width, 4). There are many things we could improve upon, such as:- Inverting it if we figure out the r wave is inverted
- Designing a set of template beats for different ecg channels.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the xqrs class and inspect how wavelet_filter = signal.ricker(self.qrs_width, 4) is used in the QRS detector. The issue lists possible directions, including inversion for inverted R waves and templates for different ECG channels, but does not define one change or a completion test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- bioinformatics
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100