Last Updated on December 17, 2022 by pg@petergamma.org
We can now connect a Polar OH1 to a Fenix 6 to get heart rate and respiration rate, we can sync the data to Garmin Connect, export the .fit file from there, convert it with the Python tools of Data Scientist Max Candocia to .csv, we can track our foot pod with a Training Tracker of Dr. Ing. Rainer Blind, export the .csv, we can use the Polar Sensor Logger app of Jukka Happonen from the Polar Research Center to get R-R peaks from our Polar sensors to calculate respiration rate and export the .csv file. Then, we can import the .csv files to Microsoft Access, which has an excellent .csv file importer. We can migrate the Access Database to SQLite, and the SQLite database can be migrated to InfluxDB. But we do not know if this works, and the timestamps will not be in sync in InfluxDB.
We can also buy an Apple watch 6, which is the latest scientifically validated Apple watch which was been validated in a paper and compared to the Polar H10 chest strap. We can pair a Stryd foot pod to the Apple watch 6, we can calibrate the Stryd foot pod, and we get the Stryd distance in Apple Health.
We do not know of any other BLE foot pods, which can be paired to an Apple watch, we do not know of any treadmill speed sensors which can be paired to it, either.
We can sync our Apple health data with Lybron Sobers Apple Health Auto Export App to Home Assistant and InfluxDB. The app allows also to export activity data. If everything works, we have an accurate heart rate from the Apple watch 6 in an InfluxDB and an accurate distance from a Stryd foot pod in InfluxDB, and the timestamps are in sync.
With this setup we are able to do our own special data analysis in Python with the InfluxDB client for Python.