TihmDRI_tools are currently the easiest way to gain accsess to the data collected by the TIHM projects.
The tools are an ongoing effort by Dr Eyal Soreq to standardize data-driven analysis for different types of data domains (IoT, behavioural, physiological, etc.) being collected as part of the ongoing TIHM study to advance our understanding of the different manifestations of dementia. The package was designed to either work on the Imperial cluster or on your personal computer using Python >3.6.
Installation Options
- Install with
pip$ pip install TihmDRI_tools
Usage
See example Jupyter notebooks
Inputs
TIHM data sets
3 zip files
| Filename | Description | Duration |
|---|---|---|
| tihm10.zip | Data collected by TIHM IoT system during TIHM project | (2016-2018) |
| tihm15.zip | Data collected by TIHM IoT system during TIHM 1.5 project (extension) | (2018-2019) |
| tihmdri.zip | Data collected by TIHM IoT system during DRI project | (2019-present) - exported once a week and copied to RDS |
The TIHM system has undergone numerous iterations during this time. These exported datasets are extracted from historic backups taken at the end of each project. The original databases are MongoDB and do not have a consistent schema. The CSV exports harmonise these into a simplified, consistent tabular format.
How to Contribute
- Clone repo and create a new branch:
$ git checkout https://github.com/esoreq/TihmDRI_tools -b name_for_new_branch. - Make changes and test
- Submit Pull Request with comprehensive description of changes
1 maintainer
Metadata
1 maintainer
Release files for tihmDri 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tihmDri-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tihmDri-0.1.7-py3-none-any.whl
| Download URL | tihmDri-0.1.7-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
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