While fitness trackers include some excellent tools for reviewing health data there are limitations such as overlaying data from different sources when looking for patterns. Below are two examples of graphing health data using IPython’s popular data science libraries (panda and matplotlib). In these examples I have exported my heart rate variability and resting heart rate data from the last month into two column CSV files. The data is being graphed with the Anaconda IPython ‘qtconsole’ utility.
Anaconda provides a simple installer blob which supports Linux, Windows and OS/X. This is probably the easiest all platform solution to get the core data science tools in place. Packages can be managed with conda after installation.
Once Anaconda is installed you can launch the ‘qtconsole’ within Anaconda Navigator.
Graph Heart Rate Variability compared to Resting Heart Rate
I have noticed that there appears to be a rough inverse correlation between heart rate variability and resting heart rate. The theory being a high HRV value is a sign of readiness for more activity and a low RHR value indicates the same. Let’ see how the two look when we overlay the data. The RHR CSV file and example2.py are available.
8-6-2021 (August 6, 2021) is the Snakiest day of the year and it’s also this year’s CircuitPython Day! The day highlights all things CircuitPython and Python on Hardware. See you there!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.