Despite their debilitating consequences, sleep apnea and other chronic sleep disorders very frequently go undiagnosed due to the considerable inconvenience and high cost of traditional sleep studies. ,With Nea, we provide a solution to this problem that empowers individuals to monitor their sleep health from the comfort of their own beds, using the devices they already own.
Nea analyzes overnight sleep recordings to detect snoring patterns, breathing abnormalities, and potential sleep apnea episodes. It provides detailed insights, trends, and a professional PDF report for collaboration with healthcare providers.
| Technologies | |
|---|---|
| Frontend | React, TypeScript, Vite, Tailwind CSS, Radix UI, Shacdn/UI |
| Backend | FastAPI, Railway VPS, PostgreSQL, SQLModel |
| Deep Learning | Scikit-Learn, PyTorch, OpenCV, YOLO, PyEDFlib |
- Converting video/audio files to normalized computer-readable formats
- Accounting for ambient noise in patient environment
- Converting RML into a text file and data frame for model training
- Implementing efficient data sampling and normalization for large audio datasets.
- Ensuring accurate detection of sleep events like snoring and breath obstructions.
- Handling file uploads and managing user account records efficiently.
- Successfully detecting and visualizing sleep events and possible episodes of sleep apnea with { THIS }% accuracy.
- Creating a visually appealing and intuitive user interface.
- ADD TWO MORE?
- Backend is hard
- Reading documentation is hard
- File uploads are hard
- How to open/use a EDF/RML file
- How to use PyTorch
- How to do data analysis with Pandas
- How to convert video/audio files to csv and normalize the results
- Camera features (allow users to record full length videos and improve model to account for sleep movements)
- Expanding insights to include more sleep health metrics.
- Partnering with healthcare providers to offer a seamless path to professional diagnosis and treatment.
- Developing a mobile app for easier recording and analysis.
- Open Source White Noise
- Sleep apnea: NHLBI sheds light on an underdiagnosed disorder
- Undiagnosed and untreated sleep disorders: Barriers to care
- The Dangers of Uncontrolled Sleep Apnea
- Sleep Apnea Tests and Diagnosis
- PSG-Audio, a scored polysomnography dataset with simultaneous audio recordings for sleep apnea studies
- Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis
- Converting audio to .csv