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hrm docs

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Gordon Williams 2022-08-11 10:08:57 +01:00
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apps/hrmaccevents/README.md
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@ -13,6 +13,21 @@ This app can use [BTHRM](https://banglejs.com/apps/#bthrm) as a reference.
* (Recording to file) Stop the recording with a long press of the button and download log.csv with the Espruino IDE. * (Recording to file) Stop the recording with a long press of the button and download log.csv with the Espruino IDE.
* (Recording to browser) Click "Stop" followed by "Save" and store the resulting file on your device. * (Recording to browser) Click "Stop" followed by "Save" and store the resulting file on your device.
## CSV data format
The CSV data contains the following columns:
* Time - Current time (milliseconds since 1970)
* Acc_x,Acc_y,Acc_z - X,Y,Z acceleration in Gs
* HRM_b - BPM figure reported by internal HRM algorithm in Bangle.js
* HRM_c - BPM confidence figure (0..100%) reported by internal HRM algorithm in Bangle.js
* HRM_r - `e.raw` from the `Bangle.on("HRM-raw"` event. This is the value that gets passed to the HRM algorithm.
* HRM_f - `e.filt` from the `Bangle.on("HRM-raw"` event. This is the filtered value that comes from the Bangle's HRM algorithm and which is used for peak detection
* PPG_r - `e.vcPPG` from the `Bangle.on("HRM-raw"` event. This is the PPG value direct from the sensor
* PPG_o - `e.vcPPGoffs` from the `Bangle.on("HRM-raw"` event. This is the PPG offset used to map `e.vcPPG` to `e.raw` so there are no glitches when the exposure values in the sensor change.
* BTHRM - BPM figure from external Bluetooth HRM device (this is our reference BPM)
## Creator ## Creator
[halemmerich](https://github.com/halemmerich) [halemmerich](https://github.com/halemmerich)