PhO2

Author:

Bui Nam1,Nguyen Anh1,Nguyen Phuc1,Truong Hoang1,Ashok Ashwin2,Dinh Thang3,Deterding Robin4,Vu Tam1

Affiliation:

1. University of Colorado Boulder

2. Georgia State University

3. Virginia Commonwealth University

4. Children's Hospital Colorado

Funder

Colorado Advanced Industries Accelerator (AIA), Bioengineering/Information Technology

Publisher

ACM

Reference66 articles.

1. 680nmFilter 2017. Visible Bandpass Filter ---680nm FWHM 10nm. https://goo.gl/PhLd8x. (2017). 680nmFilter 2017. Visible Bandpass Filter ---680nm FWHM 10nm. https://goo.gl/PhLd8x. (2017).

2. Geeta S. Agashe M.B.B.S. Joseph Coakley B.S. and Paul D. Mannheimer Ph.D. 2006. Forehead Pulse OximetryHeadband Use Helps Alleviate False Low Readings Likely Related to Venous Pulsation Artifact. Anesthesiology 105 6 (2006). Geeta S. Agashe M.B.B.S. Joseph Coakley B.S. and Paul D. Mannheimer Ph.D. 2006. Forehead Pulse OximetryHeadband Use Helps Alleviate False Low Readings Likely Related to Venous Pulsation Artifact. Anesthesiology 105 6 (2006).

3. BCIWW1000 2017. BCI WW1000 Spectro2 Hand Held Pulse Oximeter with Ear Clip Sensor. https://goo.gl/xPsw1F. (2017). BCIWW1000 2017. BCI WW1000 Spectro2 Hand Held Pulse Oximeter with Ear Clip Sensor. https://goo.gl/xPsw1F. (2017).

4. Comparison of a New Forehead Reflectance Pulse Oximeter Sensor With a Conventional Digit Sensor in Pediatric Patients;Berkenbosch John W;Respiratory Care,2012

5. A Pilot Study of Left Tracheal Pulse Oximetry

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1. Your smartphone could act as a pulse-oximeter and as a single-lead ECG;Scientific Reports;2023-11-06

2. Smartphone Pulse Oximetry Using Two-tone Camera-based Photoplethysmography;2023 IEEE 7th Portuguese Meeting on Bioengineering (ENBENG);2023-06-22

3. Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users;International Journal of Human–Computer Interaction;2023-02-16

4. Unobstrusive smartphone-based oxygen saturation measurement using a Meta-Region of interest;Pervasive and Mobile Computing;2023-01

5. Self-Supervised Learning from Unlabeled IoT Data;Artificial Intelligence for Edge Computing;2023

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