My daughter was hit with a more severe case of bronchiolitis requiring oxigen therapy.
During treatment O2 levels in the bloos need to be monitored. Fortunetly there is a consumer device, The Owlet sock that can monitor heart rate (BPM) and O2% levels fairly accurately
Unfortunetly the app the device has does not come with a customizable level for alarm. The built-in alarm at 80% is inadequate. There is also no API
Owlet app is run in an emulator is scraped for data via OCR and put into a dashboard for visualizations and alerts
Tested only on Windows
- Install :
- Python (3.10.8)
- create Virtual env and activate
- Install PyTorch (requirement for EasyOCR) see doc (as of this writting was not working with Python 3.11)
pip install -r requirements.txt
- Run Owlet App in an emulator locally
- Install Android Studio
- Create Device (from Device Manager) with Google Play store
- Install Owlet app
- Login and run
-
Position the emulator in a permanent visible palce on the screen. do not obstruct it
-
Configure
app.conf
[default]
window_title = Emulator
[label_locations]
bpm = [[160, 540], [300, 610]]
o2 = [[430, 540], [540, 610]]
status = [[250, 960], [566, 1000]]
For window_title use a substring of the window name containing the Emulator.
label_locations represent the screen pixel coordinates of the boxes containing the data on BPM / O2 / status
Make a screenshot of the entire screen and then in an image editor find out the coordinates
Try out some coordinates then run
python debug.pyThis will produce image slices in ./out/ folder.
If these slices look clean, with the exact data for each label category the coordinates are good
- Run
streamlit run main.py