Overview / Usage

The environmental analyzer for migraines is designed to take in environmental data from a user’s surroundings, i.e. temperature, humidity, pressure, altitude and light, while also taking in user data about migraines. These two datasets are then combined and utilized to define a user’s common environment and migraine occurrences. Once the data has been collected, an iOS app analyzes room data variables, such as temperature and pressure, against a user’s migraine data to examine migraines in terms of the environment in which the user was living providing users with both a visual and numerical representation of the data. The data collected for migraines included type, severity, date and time of each episode. The project is designed with the user in mind to help those suffering from migraines to better understand what environmental impacts are affecting them and what needs to be done in their environments to live a healthier life style.

Methodology / Approach

Data initially collected through iOS application and microcontroller with sensor unit. Then, utilizing Docker to create a container that has the Intel Python Distribution and other packages for use with Jupyter notebooks to take data collected, analyze migraines in terms of the environment using machine learning methods.

Technologies Used

Intel Python Distribution, Alienware PC

Other links

• Python and Jupyter Notebooks
• Using docker-compose for Python and Jupyter