Signalsqi

[meta00]

In this pull request, the following points were added:

• highlevel modules to write pipeline-like functions which could be used in playbooks and app
• SignalSQI class now contains attributes to store segments, rules/rule_set, sqis (the resulted sqi table) that are created when in use.
• The general pipeline is built around SignalSQI object: Read signal file - Preprocess (update segments and signals attribute) - Compute SQI table (update sqis attribute) - Create and apply rule set (update sqis) - Remove rejected segments from raw signal files (use decisions obtained for each segments to generate cut-points on the original signals).
• the split_to_segments and all trim functions need to keep the cut-points in o.utput so that we can have cut-points of clean segments later on (not done yet, issue #51 )

[codecov[bot]]

Codecov Report

Merging #52 (9757097) into main (1db5846) will increase coverage by 0.62%. The diff coverage is 61.70%.

@@            Coverage Diff             @@
##             main      #52      +/-   ##
==========================================
+ Coverage   47.79%   48.42%   +0.62%     
==========================================
  Files          22       24       +2     
  Lines        1494     1520      +26     
==========================================
+ Hits          714      736      +22     
- Misses        780      784       +4     

Impacted Files	Coverage Δ
vital_sqi/common/rpeak_detection.py	12.22% <0.00%> (ø)
vital_sqi/highlevel/highlevel.py	0.00% <0.00%> (ø)
vital_sqi/__init__.py	100.00% <100.00%> (ø)
vital_sqi/data/signal_sqi_class.py	100.00% <100.00%> (+43.47%)	:arrow_up:
vital_sqi/highlevel/__init__.py	100.00% <100.00%> (ø)

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