This algorithm is derived from the Brainflow SpO2 algorithm and uses PPG-R and PPG-IR data from the EmotiBit to calculate SPO2 level. The repository has been setup to enable using the spO2 source code in both Arduino and a standalone python script. We did this to enable testing source in pyhton, to fast track testing and enable us to improve algorithm performance with a shorter loop.
- Arduino: To use this library in Arduino, just clone the git repo or download it using the Arduino Library manager into your
Arduino/librariesdirectory. - Python:
- We use pybind11 to create bindings for the c++ source. The resulting
pydfile is then used by the Python script. - To learn more about using pybind and python, check out the pybind/README.md.
- We use pybind11 to create bindings for the c++ source. The resulting
Runs the Brainflow algorithm on the provided data folder (which needs to contain a separate .csv file for PPG-R and PPG-IR from the EmotiBit ending in PR.csv and PI.csv) and saves the calculated SpO2 with timestamps to calculated_spo2.csv. Also shows a plot of the PPG data overlayed with the calculated SpO2.
Plots were created using scorer.py from the EmotiBit Biometric Lib repo
| Device | Custom Dataset? | Resample Test | Scatterplot | Mean-Difference Plot |
|---|---|---|---|---|
| IP900AP | No |  |
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| Device | Custom Dataset? | Resample Test | Scatterplot | Mean-Difference Plot |
|---|---|---|---|---|
| IP900AP | No |  |
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