Quantifying Londoners change in fitness habits during lockdown

With people being urged to stay at home during the Covid-19 outbreak, gyms closed, and social distancing measures in place, it’s safe to say that fitness and workout trends have changed along with other aspects of daily life. Using data from Twitter, we set out to investigate the popularity of certain fitness related keywords, before…

Tutorial: Making sense of Fitbits’s JSON export

Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up from their previous export tool that was limited to averages over a limited period of time.With devices that are meant to be worn 24/7 to track everything from sleep, steps and heart rate, the amount…

Tutorial: Stress detection with wearable devices and Machine Learning

This blog post presents an automated machine learning approach in Python to create a stress monitoring system with data from devices such as fitness trackers. With the rising popularity of trackers that monitor biological signals 24/7, there is only a matter of time before the technology matures and everyone will be wearing their own ‘doctor…

Tutorial: Quantum Teleportation in Python

Quantum teleportation sounds like science fiction but is a fully working communication protocol to teleport a quantum state from one place to another. This tutorial walks through the steps to program a simple quantum computer to teleport a text message using quantum teleportation. This is part two of the tutorial series on quantum computing in…

Tutorial: Getting started with Quantum Computing in Python

Quantum computers might sound a bit exotic and far into the future, but in reality, they are now accessible in the cloud or through emulators for everyone to write quantum code. In this tutorial, we’ll go through how you can program a simple quantum computer to generate random numbers. This is part one of the…

Reading RR intervals from EliteHRV with Pandas

Heart Rate Variability (HRV) is a measure of the time interval between each heart beat and is a measure that in contrast to beats per minute can quantify the variation between each heartbeat. This blog post explains how HRV readings done with the mobile application EliteHRV can be read and plotted with Pandas and Python.…