Open juji-lilly opened 4 years ago
Will discuss as part of the workshop.
UK Biobank is a biobank while GGIR is software. Or do you mean the repository https://github.com/activityMonitoring/biobankAccelerometerAnalysis This software has been developed for processing the UK Biobank accelerometer data. The original version is mostly a translation of GGIR into Python/Java, and was not optimized for processing data from other sensor brands, other timezones or involving different experimental protocols. You would have to checkout out the repo's changelog to know what the latest updates are.
The algorithm looks for change in angle rather than whether magnitude of acceleration has past some threshold, this is it's strength and novelty.
GGIR uses a rolling median filter before deriving the angle as described in the paper. I am not sure I understand the rest of your question. Can you add a link to the Ellis 2016 paper?.
Yes, only clipping and non-wear time.
Thank you @vincentvanhees for your answers. Here is the link to Ellis 2016 paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4833514
We also have some other questions for our next workshop on 4/27:
Hi Vincent,
Some additional questions from the team:
1- What has been done to validate GGIR? Did you conduct any data simulations? 2- What do regulatory agencies in Europe such as EMA think about GGIR tool? 3- Any ideas on how to improve on GGIR computational time? 4- Are you considering adding other features such as Step counts? 5- Is there any support for Empatica Embrace 2 device? 6- Is there any support for other wearable metrics such as EDA?
Thanks and look forward to the workshop today!
Best, Albert
Albert, the answer to your question 4) is here: https://github.com/wadpac/GGIR/issues/236
In the workshop today I will present 14 slides in which I respond to the above questions and the request for an elaboration on the sleep detection.
After that we can have an open discussion.
Vincent, please see the list of questions from us as follows. Thanks a lot for your help!