Ichor

Ichor is a Discord bot built with arikawa that provides management tools for managing type 1 diabetes inspired by the likes of Nightscout and LoopKit. It is intended to be used in tandem with the Dexcom G6 CGM (Continuous Glucose Monitor) system.

The server reads data from Dexcom via the Share API and stores it locally on a boltDB instance. The data is then displayed graphically and blood glucose values are forecasted 30-minutes ahead using a LSTM model.

This project is highly experimental and is not intended to be used for therapy.

Features

Currently, Ichor offers a barebones set of commands

• /glucose fetches glucose observations from the last 12h and makes glucose forecasts up to 6 hours ahead, by feeding predictions into the same model. It also generates an accompanying chart. The chart also displays any registered insulin and carbohydrate intake within the time period.
• /weekly generates an weekly overview of glucose values. This includes the proportion of time spent in range, below range, above range, and the overall change since last week.
• /insulin registers the given insulin intake. Currently only supports rapid (insulin lispro) and long (insulin degludec) insulin types.
• /carbohydrate registers the given carbohydrate intake. Currently does not include information on the glycemic index.

Setup

Will be included once the project reaches a more stable stage.

Details

A slightly more detailed overview of the project.

• A timeseries abstraction is built over bolt to more easily store timeseries on the embedded database. For the described use cases, performance is not critical.
• A functional Dexcom client is also available that makes use of the more obscure Share API to fetch glucose + trend data in real-time.
• A neural network was trained to predict future glucose values based on past glucose values, carbohydrate and insulin intake. This is very experimental, and is more of a foray into Machine Learning. The training set includes roughly 1 month of data.

To-Dos

• Improve the user experience via Discord using an "always-on" mode rather than the current /glucose and /weekly method.
• Setup proper model serving instead of using Docker images and tensorflow.
• Various code refactoring and optimization. Also unit tests and more logging.