• DocumentCode
    2946592
  • Title

    SHIMMER™: An extensible platform for physiological signal capture

  • Author

    Burns, Adrian ; Doheny, Emer P. ; Greene, Barry R. ; Foran, Timothy ; Leahy, Daniel ; O´Donovan, Karol ; McGrath, Michael J.

  • Author_Institution
    Intel´´s Digital Health Group, Ireland
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    3759
  • Lastpage
    3762
  • Abstract
    Wireless sensor networks have become increasingly common in everyday applications due to decreasing technology costs and improved product performance, robustness and extensibility. Wearable physiological monitoring systems have been utilized in a variety of studies, particularly those investigating ECG or EMG during human movement or sleep monitoring. These systems require extensive validation to ensure accurate and repeatable functionality. Here we validate the physiological signals (EMG, ECG and GSR) of the SHIMMER (Sensing Health with Intelligence, Modularity, Mobility and Experimental Reusability) against known commercial systems. Signals recorded by the SHIMMER EMG, ECG and GSR daughter-boards were found to compare well to those obtained by commercial systems.
  • Keywords
    electrocardiography; electromyography; medical signal processing; patient monitoring; skin; wireless sensor networks; SHIMMER; SHIMMER ECG; SHIMMER EMG; experimental reusability; galvanic skin response; human movement; physiological signal capture; sensing health with intelligence; sleep monitoring; wearable physiological monitoring systems; wireless sensor networks; Band pass filters; Biomedical monitoring; Electrocardiography; Electrodes; Electromyography; Monitoring; Skin; Algorithms; Biomechanics; Electrocardiography; Electromyography; Humans; Monitoring, Physiologic; Movement; Sleep;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627535
  • Filename
    5627535