redayzarra/SleepApneaDetection
My capstone project explores machine learning, hardware, and web development to create a smart home system for monitoring the health of homebound patients suffering from sleep apnea. The system includes data collection through sensors, embedded ML (TinyML) to analyze data, and web development for creating a medical dashboard.
This system provides personalized home monitoring for individuals with sleep apnea or homebound patients with neurodegenerative disorders. It uses discreet sensors to collect environmental and movement data, alongside audio analysis of breathing patterns. The output is comprehensive data and insights to help medical professionals make more informed treatment decisions and enhance patient quality of life.
No commits in the last 6 months.
Use this if you are a healthcare provider seeking objective, quantitative data to better understand the well-being and functional status of homebound patients or those with sleep apnea.
Not ideal if you are looking for a commercial, off-the-shelf patient monitoring solution that is ready for immediate deployment in a clinical setting.
Stars
12
Forks
1
Language
C++
License
MIT
Category
Last pushed
May 17, 2023
Commits (30d)
0
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