• DocumentCode
    1284534
  • Title

    Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone

  • Author

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

  • Author_Institution
    Dept. of Biomed. Eng., Worcester Polytech. Inst., Worcester, MA, USA
  • Volume
    59
  • Issue
    2
  • fYear
    2012
  • Firstpage
    303
  • Lastpage
    306
  • 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.
  • Keywords
    biomedical optical imaging; blood; haemodynamics; mobile radio; optical sensors; oximetry; patient monitoring; physiology; pneumodynamics; smart phones; ECG; atrial fibrillation; blood loss; blood oxygen saturation; breathing rate; cardiac R-R intervals; fingertip color signals; light signal; mobile phone; optical recordings; optical sensor; physiological parameter monitoring; physiological variables monitor; pulse-oximeters; respiration belts; respiratory rate measurement; Biomedical monitoring; Cameras; Electrocardiography; Heart rate variability; Mobile handsets; Monitoring; Breathing rate; heart rate variability (HRV); noninvasive monitoring; oxygen saturation; telemonitoring; Algorithms; Cellular Phone; Heart Rate; Humans; Monitoring, Physiologic; Oximetry; Remote Sensing Technology; Respiratory Rate; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2163157
  • Filename
    5963704