Literature DB >> 20815022

Cellular phone-based photoplethysmographic imaging.

Enock Jonathan1, Martin J Leahy.   

Abstract

We present study results on visible light reflection photoplethysmographic (PPG) imaging with a mobile cellular phone operated in video imaging mode. PPG signal components around 0.1 Hz attributed to the sympathetic component of the heart rate, 1 Hz as the heart rate and 2 Hz as heart rate high order harmonic were quantified on the index finger of a healthy volunteer. The green channel reported PPG signals throughout the sampled area. The blue and red channel returned plethysmographic information, but the signal strength was highly position specific. Our results obtained with a cellular phone as the data acquisition device are encouraging, especially in the broad context of personal or home-based care and the role of cellular phone technology in medical imaging.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2010        PMID: 20815022     DOI: 10.1002/jbio.201000050

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  13 in total

Review 1.  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

2.  Physiological parameter monitoring from optical recordings with a mobile phone.

Authors:  Christopher G Scully; Jinseok Lee; Joseph Meyer; Alexander M Gorbach; Domhnull Granquist-Fraser; Yitzhak Mendelson; Ki H Chon
Journal:  IEEE Trans Biomed Eng       Date:  2011-07-29       Impact factor: 4.538

3.  Extraction of heart rate variability from smartphone photoplethysmograms.

Authors:  Rong-Chao Peng; Xiao-Lin Zhou; Wan-Hua Lin; Yuan-Ting Zhang
Journal:  Comput Math Methods Med       Date:  2015-01-12       Impact factor: 2.238

4.  A new look at the essence of the imaging photoplethysmography.

Authors:  Alexei A Kamshilin; Ervin Nippolainen; Igor S Sidorov; Petr V Vasilev; Nikolai P Erofeev; Natalia P Podolian; Roman V Romashko
Journal:  Sci Rep       Date:  2015-05-21       Impact factor: 4.379

5.  Cuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals.

Authors:  Rong-Chao Peng; Wen-Rong Yan; Ning-Ling Zhang; Wan-Hua Lin; Xiao-Lin Zhou; Yuan-Ting Zhang
Journal:  Sensors (Basel)       Date:  2015-09-17       Impact factor: 3.576

6.  iPhone 4s photoplethysmography: which light color yields the most accurate heart rate and normalized pulse volume using the iPhysioMeter Application in the presence of motion artifact?

Authors:  Kenta Matsumura; Peter Rolfe; Jihyoung Lee; Takehiro Yamakoshi
Journal:  PLoS One       Date:  2014-03-11       Impact factor: 3.240

7.  Monitoring of Heart and Breathing Rates Using Dual Cameras on a Smartphone.

Authors:  Yunyoung Nam; Youngsun Kong; Bersain Reyes; Natasa Reljin; Ki H Chon
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

8.  Non-contact, synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions.

Authors:  Bing Wei; Xuan He; Chao Zhang; Xiaopei Wu
Journal:  Biomed Eng Online       Date:  2017-01-17       Impact factor: 2.819

9.  A wavelet-based decomposition method for a robust extraction of pulse rate from video recordings.

Authors:  Miha Finžgar; Primož Podržaj
Journal:  PeerJ       Date:  2018-11-27       Impact factor: 2.984

Review 10.  Overview of smartphone applications for sleep analysis.

Authors:  Adrian A Ong; M Boyd Gillespie
Journal:  World J Otorhinolaryngol Head Neck Surg       Date:  2016-03-05
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