• DocumentCode
    2093122
  • Title

    Evaluating the Foot Electromyogram Signal as a Noise Reference for a Bathroom Scale Ballistocardiogram Recorder

  • Author

    Inan, Omer T. ; Etemadi, Mozziyar ; Wiard, Richard M. ; Giovangrandi, Laurent ; Kovacs, Gregory T A

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., Stanford, CA
  • fYear
    2008
  • fDate
    17-19 June 2008
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    A bathroom scale ballistocardiogram (BCG) recorder has been developed in our group as a potential home monitor for heart failure outpatients. While the signal quality obtained by this device is as high as elaborate table- and bed-based BCG systems discussed previously in the literature, the standing posture required by this system may lead to undesired motion induced noise in the signal, particularly for elderly patients. Electromyogram (EMG) signals from the feet are proposed as a noise reference for the standing BCG measurement. The correlation between these signals and the BCG noise is quantified for a case with low (eyes open) and higher (eyes closed) involuntary movement on the scale. For the six subjects considered in this trial, the foot EMG appears to be a valuable reference for BCG movement noise estimation. Additionally, the fact that many bathroom scales have electrodes on the feet for various body fat percentage estimates makes the measurement highly practical for future implementations.
  • Keywords
    cardiology; electromyography; geriatrics; medical signal processing; patient monitoring; BCG systems; EMG; bathroom scale ballistocardiogram recorder; elderly patients; foot electromyogram signal; noise estimation; noise reference; Condition monitoring; Costs; Electrocardiography; Electromyography; Eyes; Foot; Heart; Hospitals; Noise measurement; Patient monitoring; Heart failure management; ballistocardiogram; home monitoring; motion noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
  • Conference_Location
    Jyvaskyla
  • ISSN
    1063-7125
  • Print_ISBN
    978-0-7695-3165-6
  • Type

    conf

  • DOI
    10.1109/CBMS.2008.78
  • Filename
    4561958