Approximately 25 million adults in the United States of America alone suffer from obstructive sleep apnea, according to the National Healthy Sleep Awareness Project. Obstructive Sleep Apnea is a disorder that causes the patient to repeatedly stop and start breathing during sleep.
This diagnosis standard is incredibly time consuming and labor intensive. It also puts the patient in an unfamiliar environment, which can have an effect on the patient’s ability to sleep for proper diagnosis.
To create low-cost, low-footprint sensor system so that patients can perform a sleep study in a familiar environment for proper OSA diagnosis.
- 1 x Temperature Sensor System
- 500mAH battery w/ USB charging adapter
- 1 x Body Movement Sensor System
- 500mAH battery w/ USB charging adapter
- 1 x Heartrate & Oximetry Sensor System
- 500mAH battery w/ USB charging adapter
- 1 x Airflow Microphone Sensor System
- 500mAH battery w/ USB charging adapter
- 1 x Android Smartphone
- USB charging adapter (micro/mini/type-C)
- Snooze Application Installed.
- 1 x AWS S3 Instance (running)
- 1 x AWS EC2 Instance (running)
- 1 x AWS Lambda Instance (running)
- 1 x Windows/Linux/Mac OS X Computer
- To access web interface for cloud systems.
- Yale Empie (Team Lead)
- Contact Info: synthex2125@gmail.com
- Tyler Anderson
- Contact Info: tyleranderson3@my.unt.edu
- Andrew Asdel
- Contact Info: andrew.asdel@gmail.com
- Jason Van
- Contact Info: jasonvan@my.unt.edu