HRVSciHub implements the most known heart rate variability analysis techniques (Frequency and Time domains as well as nonlinear parameters ) with Django using the pyhrv tool for background heart rate analysis.
After registering the users are able to:
- Add subjects to their study board
- Upload HRV marker files(supported by pyhrv) of their subjects and run the analysis
In case you need test files you can find some Here
For a particular subject, access their measurements data.
Access results:
- Compare and export their subject data to pdf reports.
SECRET_KEY=""
EMAIL_HOST=""
EMAIL_PORT=""
EMAIL_HOST_USER=""
EMAIL_HOST_PASSWORD=""
CELERY_BROKER_URL=""Set these by direclty modifying the hrvanalysis/hrvscihub/settings/local.py file.
python manage.py migratecelery -A hrvscihub worker --loglevel=infopython manage.py runserverThe project is available at http://localhost:8000/
Note when activating the account locally: change the activation link from https to http.
This program is distributed in the hope it will be useful and provided to you "as is", but WITHOUT ANY WARRANTY, without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. This program is NOT intended for medical diagnosis. We expressly disclaim any liability whatsoever for any direct, indirect, consequential, incidental or special damages, including, without limitation, lost revenues, lost profits, losses resulting from business interruption or loss of data, regardless of the form of action or legal theory under which the liability may be asserted, even if advised of the possibility of such damages.