PhO2: Smartphone based Blood Oxygen Level Measurement Systems using Near-IR and RED Wave-guided Light

Nam Bui, Hoang Truong, Anh Nguyen, Ashwin Ashok, Phuc Nguyen, Thang Dinh, Robin Deterding, Tam Vu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 that are readily available on today’s off-the-shelf smart phones. Since phone’s camera and flashlight are not made for this purpose, utilizing them for oxygen level estimation poses many challenges. We introduce a cost-effective add-on together with a set of algorithms for spatial and spectral optical signal modulation to amplify the optical signal of interest while minimizing noise. A light-based pressure detection algorithm and feedback mechanism are also proposed to mitigate the negative impacts of user’s behavior during the measurement. We also derive a non-linear referencing model that allows PhO2 to estimate the oxygen level from color intensity ratios produced by smartphone’s camera. 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. A user study to gauge the reception of PhO2 shows that users are comfortable self-operating the device, and willing to carry the device when going out.

Original languageEnglish
Title of host publicationSenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
EditorsRasit Eskicioglu
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450354592
DOIs
StatePublished - Nov 6 2017
Event15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017 - Delft, Netherlands
Duration: Nov 6 2017Nov 8 2017

Publication series

NameSenSys 2017 - Proceedings of the 15th ACM Conference on Embedded Networked Sensor Systems
Volume2017-January

Conference

Conference15th ACM Conference on Embedded Networked Sensor Systems, SenSys 2017
Country/TerritoryNetherlands
CityDelft
Period11/6/1711/8/17

Keywords

  • Near-infrared sensing
  • Optical divider
  • Oxygen saturation
  • Phone camera
  • Phone’s add-on

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