• DocumentCode
    3685598
  • Title

    Biophone: Physiology monitoring from peripheral smartphone motions

  • Author

    Javier Hernandez;Daniel J. McDuff;Rosalind W. Picard

  • Author_Institution
    Media Lab, Massachusetts Institute of Technology, Cambridge, 02139, USA
  • fYear
    2015
  • Firstpage
    7180
  • Lastpage
    7183
  • Abstract
    The large-scale adoption of smartphones during recent years has created many opportunities to improve health monitoring and care delivery. In this work, we demonstrate that motion sensors available in off-the-shelf smartphones can capture physiological parameters of a person during stationary postures, even while being carried in a bag or a pocket. In particular, we develop methods to extract heart and breathing rates from accelerometer data and compare them with measurements obtained with FDA-cleared sensors. We evaluated their accuracy on 12 people across different still body postures (pre- and post- exercise) and were able to reach mean absolute errors of 1.16 beats per minute (STD: 3) and 0.26 breaths per minute (STD: 0.5) when considering different conditions. Furthermore, we evaluated the same methods during regular phone activities, such as when watching a video or listening to a conversation, yielding increased but still comparable error rates for some conditions.
  • Keywords
    "Biomedical monitoring","Heart rate","Estimation","Monitoring","Accelerometers","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7320048
  • Filename
    7320048