MobileOx : Blood Oxygen Level Measurement System
Project Description
Accurately measuring and monitoring patient's blood oxygen level plays a critical role in today’s clinical diagnosis and healthcare practices. Existing techniques however either require a dedicated hardware or produce inaccurate measurements. To fill in this gap, we propose a phone-based oxygen level estimation system, called MobileOx, using camera and flashlight functions available on today’s off-the-shelf smart phones together with a set of algorithms for spatial and spectral optical signal modulation to amplify the optical signal of interest while minimizing noise. An evaluation using a custom-built optical element on COTS smartphone with 6 subjects shows that MobileOx can estimate the oxygen saturation within 3.5% error rate comparing to FDA-approved gold standard pulse oximetry.
People
- Nam Bui
- Anh Nguyen
- Phuc Nguyen
- Hoang Truong
- Ashwin Ashok
- Thang Dinh
- Robin Deterding
- Tam Vu
Publications
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Photometry based Blood Oxygen Estimation through Smartphone Cameras
Best Presentation Award
ACM S3 2017 - The ACM International Conference on Mobile Computing and Networking - The Eighth Wireless of the Students, by the Students, and for the Students Workshop, October 2017
Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding, and Tam Vu
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PhO2: Optical 3D printed elements and NIR/R light extraction techniques for phone-base blood oxygen level measurement
ACM SenSys 2017 - The ACM Conference on Embedded Networked Sensor Systems, Nov. 2017
Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding, and Tam Vu
(26 out of 151 submissions, acceptance ratio: 17.2%)
(The app won the 2nd price ACM MobiCom App Contest in 2017.)
Related Pictures
-
Photometry based Blood Oxygen Estimation through Smartphone Cameras
Best Presentation Award
ACM S3 2017 - The ACM International Conference on Mobile Computing and Networking - The Eighth Wireless of the Students, by the Students, and for the Students Workshop, October 2017
Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding, and Tam Vu -
PhO2: Optical 3D printed elements and NIR/R light extraction techniques for phone-base blood oxygen level measurement
ACM SenSys 2017 - The ACM Conference on Embedded Networked Sensor Systems, Nov. 2017
Nam Bui, Anh Nguyen, Phuc Nguyen, Hoang Truong, Ashwin Ashok, Thang Dinh, Robin Deterding, and Tam Vu
(26 out of 151 submissions, acceptance ratio: 17.2%)
(The app won the 2nd price ACM MobiCom App Contest in 2017.)
Related Pictures