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Sleep Stage Classification

See the site: https://abbydulski.github.io/Sleep-Stage-Classification/ for an explination of the project and for instructions on how to run your wearable sleep data through the classification pipeline. Inputs needed for the pipeline are accelerometer data, temperature data, and HR data from a standard wearable device. This project is part of a Master's Thesis out of the Fluid Interfaces group in the MIT Media Lab. Please contact adulski@mit.edu with any questions.

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This is an open-source sleep staging model that can take in data in the form of a csv from every day wearables (apple watch, Samsung watch, etc) and stage your sleep with HR and ACC metrics.

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