PhO2 Project

PhO2: Blood Oxygen Level Measurement System project

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 PhO2, 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 PhO2 can estimate the oxygen saturation within 3.5% error rate comparing to FDA-approved gold standard pulse oximetry.

Publications

PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light
ACM SenSys 2017 - The ACM Conference on Embedded Networked Sensor Systems, November 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%)

Photometry based Blood Oxygen Estimation through Smartphone Cameras
ACM MobiCom - S3 2017 - The ACM International Conference on Mobile Computing and Networking.
The Ninth 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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