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@hooman650, @PGomes92, @paulvangentcom thanks for your help in reviewing this work! Can you give an update on review progress? @paulvangentcom I see you've started and have been ticking boxes. Please list any issues you've identified if any, so @rhenanbartels can start working on them. Tanks!
I have opened an issue in the toolbox repository. There are many HRV toolboxes available that exactly perform the same computations (time, frequency and nonlinearity analysis). I recommend adding a few subroutines for preprocessing RR intervals and removing artifacts. I have opened an issue and made a few recommendations there.
Additionally, contribution guidelines are missing.
👋 @Kevin-Mattheus-Moerman - How is this review going?
Thanks for the reminder. I'll wrap up the review tomorrow.
I think the paper can benefit from additional integration with existing literature, especially a more recent state of the field.
Although many toolboxes exist to work with PPG, ECG, or the resulting tachograms, I think hrv can play a role here as an accessible toolbox for those already having tachograms available and only need to analyse these.
The software needs to be documented with proper docstrings in the code, and the documentation be migrated to for example readthedocs. Unit tests are missing as is continuous integration and an overview of the Python versions that are supported.
I'll open issues for this on the repo.
@rhenanbartels can you respond to the reviewers comments/issues and summarize your actions here? Thanks :christmas_tree:
Hi @Kevin-Mattheus-Moerman, regarding issue 16 and Issue 17, I've implemented features for artifact and baseline trend removal, and I've worked on documentation-related and CI features, respectively:
Filter
Trend removal
hrv.sampledata import load_rest_rri
During the following days, I will work on the improvements (suggested by @paulvangentcom) of the article's text and I will add the new features available in the 0.2.5 version of the hrv
module, such:
hrv
moduleCheers,
Rhenan
Hi @Kevin-Mattheus-Moerman,
I've just put the finishing touches on the article`s text. It is already available in the develop branch in the repo. What is the next step?
Best, Rhenan
@hooman650, @PGomes92, @paulvangentcom thanks for your help so far. The author has made various changes to address your comments. Can you please pick up the review at this point and review these changes? Please summarize any remaining issues you might have. Thanks!
@hooman650, @PGomes92, @paulvangentcom :point_up: can you check the above? Thanks
@hooman650, @paulvangentcom can you check on the above?
@PGomes92 are you still able to assist with this review? If so, when do you think you will be able to complete your side of the review? Thanks.
@Kevin-Mattheus-Moerman I outlined two final points to Rhenan, and pending these two small changes I'm satisfied with the made changes
@paulvangentcom thanks for your help here! I take it these are issues posted on the project repository? It would be great if you could link to them here. @rhenanbartels Are you able to follow up on @paulvangentcom 's comments/issues? Thanks!
@Kevin-Mattheus-Moerman Sure! I will work on the suggestions in the upcoming days.
@Kevin-Mattheus-Moerman yes these are on the repo, appended to the same issue as before
@rhenanbartels any updates on progress?
Hi @Kevin-Mattheus-Moerman, I've just pushed the suggestions made by @paulvangentcom.
Cheers,
Rhenan
@paulvangentcom can you check these new developments? :point_up:
Yes agreed, the changes are good as far as I'm concerned. Thanks for guiding the process @Kevin-Mattheus-Moerman , and thanks for the work @rhenanbartels
Thanks @paulvangentcom!
@hooman650 can you also review the recent changes and summarize any remaining points you have. Thanks!
@PGomes92 please can you finalize your review as soon as possible. Thanks
Dear authors and reviewers
We wanted to notify you that in light of the current COVID-19 pandemic, JOSS has decided to suspend submission of new manuscripts and to handle existing manuscripts (such as this one) on a "best efforts basis". We understand that you may need to attend to more pressing issues than completing a review or updating a repository in response to a review. If this is the case, a quick note indicating that you need to put a "pause" on your involvement with a review would be appreciated but is not required.
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Arfon Smith, Editor in Chief, on behalf of the JOSS editorial team.
:wave: @PGomes92 @hooman650, just a friendly check-in to see how things are going with your reviews?
@PGomes92 @hooman650 can you please finalize the review process or else let us know if you are still able to review this submission? Thanks.
@PGomes92 @hooman650 I hope and yours are doing well. Can you give an indication as to when you can resume this review? Thanks again for your help.
@PGomes92 @hooman650 if you are still able to help with this review please indicate this to us now. If I do not hear from you within the next 2 days I will proceed to unfortunately remove you as reviewers for this submission.
@whedon generate pdf
@whedon remove @PGomes92 as reviewer
OK, @PGomes92 is no longer a reviewer
@whedon remove @hooman650 as reviewer
OK, @hooman650 is no longer a reviewer
Hi @Kevin-Mattheus-Moerman, how are you doing? I hope everything is fine.
Are there any further steps for the paper review? Let me know if there is anything I need to do.
Cheers!
@whedon add @Kevin-Mattheus-Moerman as reviewer
OK, @Kevin-Mattheus-Moerman is now a reviewer
@rhenanbartels I added myself as reviewer since the other reviewers dropped out. I installed the software successfully and have started testing. A couple of boxes are unticked.
[x] A statement of need Both the readme and the first page of the documentation simply state:
hrv is a simple Python module that brings the most widely used techniques to work with RRi series and Heart Rate Variability (HRV) analyses without losing the Power and Flexibility of a native Python object and numpy arrays.
Can you expand both to more clearly state what the software functionality addresses?
[x] Although the documentation seems to cover all functionality it seems to contain mainly snippets of code. Perhaps I am not interacting with your documentation properly but to test things I found myself copy-pasting these into my Spyder IDE to run them. Could you offer test scripts to users in a more direct way? It would be great to have files that test the functionality fully which users can run. Also some of the documentation contains this as example data:
rri = RRi([800, 810, 815, 750, 753, 905])
This works for showing how to use the code components but is quite limited for testing the functionality. Could you add in the tests some more advanced examples containing larger test data sets? Or define it more clearly if you have it already? This is just a suggestion but would it be easy to create a single Jupyter notebook that covers all functionality (perhaps combining the code snippets from the documentation) which also loads example datasets?
[x] Can you tell me where to find and study automated tests? Perhaps consider my above comments and add a testing
section to the documentation. I see there is a "running the tests" section, but this seems to be for more advanced users. Perhaps consider (recommendation not requirement) add (e.g. in the form of a jupyter script) a simple test set and demo for new users?
Thanks
@rhenanbartels apologies for the delay with this submission. With the pandemic our journal, editors (myself included), and reviewers have found it challenging to keep things going at a normal pace. Your submission was particularly "badly hit" it seems as unfortunately two reviewers became unresponsive. I just wanted to apologize for this and add that I am committed to provide a fast review here and to also stay on top of editing this submission as fast as possible.
@rhenanbartels did you see my comments :point_up:
Hi @Kevin-Mattheus-Moerman, yeah!
Thank you very much for the comments. I really liked the idea of creating a Jupyter Notebook with some real use cases. I am going to work on it and on the other suggestions during the following week.
Cheers!
Hi, @Kevin-Mattheus-Moerman
I've just added a Jupyter notebook containing a walkthrough with the main steps of the pipeline for analyzing RRi/HRV signals (the same first steps we use in our studies in our Lab):
Additionally, there is also an example of one of the techniques applied to extract information about the dynamics of non-stationary RRi signals.
I will create more Jupyter notebooks as new features are added to the module. It is a great way to show its application in real scenarios and to be more intuitive for new users.
#
Regarding the statement of need
, I've added, on both Docs and README, a complementary sentence that expands the description of the software functionality, which is: a module for inspecting, visualizing, pre-process, and analyze HRV analyses written in idiomatic Python.
Thank you very much for your suggestion and let me know if any other update is needed.
Cheers,
Rhenan
@rhenanbartels thanks. I checked out the Jupyter notebook. It looks great! I do get an error on the last two cells:
Any clue as to what is going on?
@whedon generate pdf
@whedon check references
Submitting author: @rhenanbartels (Rhenan Bartels) Repository: https://github.com/rhenanbartels/hrv Version: 0.2.8 Editor: @Kevin-Mattheus-Moerman Reviewers: @paulvangentcom, @Kevin-Mattheus-Moerman Archive: 10.5281/zenodo.3960216
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