Literature DB >> 21803676

Physiological parameter monitoring from optical recordings with a mobile phone.

Christopher G Scully1, Jinseok Lee, Joseph Meyer, Alexander M Gorbach, Domhnull Granquist-Fraser, Yitzhak Mendelson, Ki H Chon.   

Abstract

We show that a mobile phone can serve as an accurate monitor for several physiological variables, based on its ability to record and analyze the varying color signals of a fingertip placed in contact with its optical sensor. We confirm the accuracy of measurements of breathing rate, cardiac R-R intervals, and blood oxygen saturation, by comparisons to standard methods for making such measurements (respiration belts, ECGs, and pulse-oximeters, respectively). Measurement of respiratory rate uses a previously reported algorithm developed for use with a pulse-oximeter, based on amplitude and frequency modulation sequences within the light signal. We note that this technology can also be used with recently developed algorithms for detection of atrial fibrillation or blood loss.
© 2011 IEEE

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Year:  2011        PMID: 21803676      PMCID: PMC3476722          DOI: 10.1109/TBME.2011.2163157

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  15 in total

1.  A novel approach using time-frequency analysis of pulse-oximeter data to detect progressive hypovolemia in spontaneously breathing healthy subjects.

Authors:  Nandakumar Selvaraj; Kirk H Shelley; David G Silverman; Nina Stachenfeld; Nicholas Galante; John P Florian; Yitzhak Mendelson; K Chon
Journal:  IEEE Trans Biomed Eng       Date:  2011-04-21       Impact factor: 4.538

2.  A novel method to detect heart beat rate using a mobile phone.

Authors:  P Pelegris; K Banitsas; T Orbach; K Marias
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Investigating a smartphone imaging unit for photoplethysmography.

Authors:  E Jonathan; Martin Leahy
Journal:  Physiol Meas       Date:  2010-09-24       Impact factor: 2.833

4.  Can photoplethysmography variability serve as an alternative approach to obtain heart rate variability information?

Authors:  Sheng Lu; He Zhao; Kihwan Ju; Kunson Shin; Myoungho Lee; Kirk Shelley; Ki H Chon
Journal:  J Clin Monit Comput       Date:  2007-11-07       Impact factor: 2.502

5.  Estimation of respiratory rate from photoplethysmogram data using time-frequency spectral estimation.

Authors:  Ki H Chon; Shishir Dash; Kihwan Ju
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-14       Impact factor: 4.538

Review 6.  An overview of recent health care support systems for eEmergency and mHealth applications.

Authors:  E C Kyriacou; C S Pattichis; M S Pattichis
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.

Authors:  Ming-Zher Poh; Daniel J McDuff; Rosalind W Picard
Journal:  Opt Express       Date:  2010-05-10       Impact factor: 3.894

Review 8.  Pulse oximetry: theory and applications for noninvasive monitoring.

Authors:  Y Mendelson
Journal:  Clin Chem       Date:  1992-09       Impact factor: 8.327

9.  Automatic real time detection of atrial fibrillation.

Authors:  S Dash; K H Chon; S Lu; E A Raeder
Journal:  Ann Biomed Eng       Date:  2009-06-17       Impact factor: 3.934

10.  Remote plethysmographic imaging using ambient light.

Authors:  Wim Verkruysse; Lars O Svaasand; J Stuart Nelson
Journal:  Opt Express       Date:  2008-12-22       Impact factor: 3.894

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  57 in total

1.  Ambiguity of mapping the relative phase of blood pulsations.

Authors:  Victor Teplov; Ervin Nippolainen; Alexander A Makarenko; Rashid Giniatullin; Alexei A Kamshilin
Journal:  Biomed Opt Express       Date:  2014-08-22       Impact factor: 3.732

2.  The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data.

Authors:  Nicholas C Jacobson; Sy-Miin Chow; Michelle G Newman
Journal:  Behav Res Methods       Date:  2019-02

3.  Robust efficient estimation of heart rate pulse from video.

Authors:  Shuchang Xu; Lingyun Sun; Gustavo Kunde Rohde
Journal:  Biomed Opt Express       Date:  2014-03-10       Impact factor: 3.732

Review 4.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

5.  PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application.

Authors:  David D McMANUS; Jo Woon Chong; Apurv Soni; Jane S Saczynski; Nada Esa; Craig Napolitano; Chad E Darling; Edward Boyer; Rochelle K Rosen; Kevin C Floyd; Ki H Chon
Journal:  J Cardiovasc Electrophysiol       Date:  2015-11-13

6.  Advanced, Analytic, Automated (AAA) Measurement of Engagement During Learning.

Authors:  Sidney D'Mello; Ed Dieterle; Angela Duckworth
Journal:  Educ Psychol       Date:  2017-02-21

7.  The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera.

Authors:  He Liu; Yadong Wang; Lei Wang
Journal:  IEEE J Transl Eng Health Med       Date:  2014-10-06       Impact factor: 3.316

8.  A Survey on Ambient Intelligence in Health Care.

Authors:  Giovanni Acampora; Diane J Cook; Parisa Rashidi; Athanasios V Vasilakos
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2013-12-01       Impact factor: 10.961

9.  A novel application for the detection of an irregular pulse using an iPhone 4S in patients with atrial fibrillation.

Authors:  David D McManus; Jinseok Lee; Oscar Maitas; Nada Esa; Rahul Pidikiti; Alex Carlucci; Josephine Harrington; Eric Mick; Ki H Chon
Journal:  Heart Rhythm       Date:  2012-12-06       Impact factor: 6.343

10.  Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera.

Authors:  In Cheol Jeong; Joseph Finkelstein
Journal:  J Med Syst       Date:  2016-01-20       Impact factor: 4.460

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