31 lines
2.3 KiB
Plaintext
31 lines
2.3 KiB
Plaintext
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BLESleep: A project to implement sleep tracking and nightmare interruption on Linux using the Mi Band 4 fitness tracker
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It is inspired by the "Nightware" device, which is an FDA approved medical device: https://www.fda.gov/news-events/press-announcements/fda-permits-marketing-new-device-designed-reduce-sleep-disturbance-related-nightmares-certain-adults
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This project is based on the satcar77/miband4 project.
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USAGE:
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You will need to create two .txt files in the base directory:
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auth_key.txt: the authentication key for your miband 4. See https://github.com/argrento/huami-token for details on obtaining this.
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mac.txt: the Bluetooth MAC address for your miband 4.
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CURRENT STATUS:
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Right now the project does not yet fulfill its purpose.
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If you execute the project as-is, it will connect to the miband and plot HR and gyroscope data to the screen.
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I'm currently working on massaging the returned data to create signals that can be usefully incorporated into a detection algorithm.
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GOALS:
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* Publish statistics to Google Sheets or other easy-to-use target. I'd like to make this usable by non-technical folks, so S3 buckets and CloudWatch are out of scope.
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* Incorporate an LSTM neural network as the detection algorithm. This will require a dedicated "training period", as each user will likely produce different signals.
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* Create a GUI dashboard to display sleep statistics and other controls. My vision for the end product is a standalone RasPi device with a 7" touchscreen display.
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* Add support for multiple (cheap) fitness trackers. I'd like this work to be usable by low-income folks who can't afford Apple Watches.
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* Create a framework to incorporate additional biometrics/signals as they become available. For example, SpO2, galvanic skin response, respiration, BP, etc.
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* Create a holistic sleep-tracking interface to provide users the ability to clearly observe the effects of things like changes in routine, medication, diet, etc.
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DISCLAIMER:
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None of the statements on this web site have been evaluated by the FDA.
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Furthermore, none of the statements herein should be construed as dispensing medical advice, or making claims regarding the cure or treatment of diseases.
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These statements have not been evaluated by the Food and Drug Administration.
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These project is not intended to diagnose, treat, cure, or prevent any diseases.
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