AeT calculator

• Douglas Watson, May 2020
• MIT License

This is a browser-based tool to calculate heart rate drift during an activity recorded on a GPS watch with heart rate. This metric is to determine your Aerobic Threshold, as defined by Uphill Athlete: https://www.uphillathlete.com/heart-rate-drift/.

How to use it?

Open the live page and follow the instructions. You can load a TCX file by drag-and-drop or with the file picker.

Developers

To extend this project, check it out and install npm dependencies:

# Workaround to install forked tcx-js:
git clone https://github.com/douglas-watson/tcx-js.git
cd tcx-js && npm install && cd ..

# Get this package and install all other dependencies
git clone https://github.com/douglas-watson/aet-calc.git
cd aet-calc && npm install

To run a web server with live-reload, live-bundling etc.:

npm run watch

And to build for distribution:

npm run build

The resulting index.html and bundle.js files (the only two files) are created in the dist/ folder. These can be hosted by a static file server. To update the version hosted on github pages, run:

npm run build && npm run publish

Then commit and push.

Structure

The code is a bit ridiculous, as I used this project as an exercise in building a JS app with no framework, i.e. re-inventing the wheel. The components are bundled with browserify, using reload for quicker development. I store the

• index.html: obviously defines the layout and text, and also embeds a Mustache template for the summary table. It uses the Bulma css framework for styling.
• main.js: handles templating, file loading (drag and drop, file input), and mostly initializes each component.
• data.js: handles data processing: parsing the TCX file, calculating summary data
• store.js: stores the state of the application, notifies subscribers of changes.
• plot.js: wraps Plotly plot - defines layout, config, and data transformation to match plotly's preferred format.