Life monitoring with org mode and telegram chat bot

• lockbox

  13 1,391 7.4 Ruby

  Modern encryption for Ruby and Rails

Content is encrypted using https://github.com/ankane/lockbox default setup I've been considering adding optional end-to-end encryption as well, but am a bit afraid people might lose access to content forever if they lose access to keys.

• GarminDB

  22 921 8.2 Python

  Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.

I got myself a Garmin watch at the beginning of the year, to collect various metrics automatically. The watch uses the built in heart rate monitor/sensors to derive various data specifically:

- sleep hours (including the sleep phase type: deep sleep etc)

- stress amounts (via heart rate variability)

- energy levels ("Body battery" in Garmin speak)

I've been feeling quite drained the last couple of weeks so I wanted to see if the data I've collected over the last 3 months or so would match what I was subjectively feeling.

Interestingly Garmin does not provide any functionality to analyze long term trends, but there's an open source project to extract data from Garmin [0].

I used the tool to generate some graphs [1] that, do indeed, seem to indicate a rising level of stress over the last few months.

I'm going to try the moving average next to see if it's better than the naive approach I used, but ultimately my goal is the same as author's. I want a warning to sound off based on sleep/stress/energy levels trends. I have a tendency to overdo things sometimes. My theory is that a day off taken before some critical level is better than a week off after the burn out.

Here's the PR with the Jupyter notebook that generates the graph in the link based on Garmin Data [2].

[0] https://github.com/tcgoetz/GarminDB

[1] https://imgur.com/a/Q7MJqMB

[2] https://github.com/tcgoetz/GarminDB/pull/155

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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