• DocumentCode
    140012
  • Title

    Does external walking environment affect gait patterns?

  • Author

    Patterson, Matthew R. ; Whelan, Darragh ; Reginatto, Brenda ; Caprani, Niamh ; Walsh, Lorcan ; Smeaton, Alan F. ; Inomata, Akihiro ; Caulfield, Brian

  • Author_Institution
    Insight Centre for Data Analytics, Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    2981
  • Lastpage
    2984
  • Abstract
    The objective of this work is to develop an understanding of the relationship between mobility metrics obtained outside of the clinic or laboratory and the context of the external environment. Ten subjects walked with an inertial sensor on each shank and a wearable camera around their neck. They were taken on a thirty minute walk in which they mobilized over the following conditions; normal path, busy hallway, rough ground, blind folded and on a hill. Stride time, stride time variability, stance time and peak shank rotation rate during swing were calculated using previously published algorithms. Stride time was significantly different between several of the conditions. Technological advances mean that gait variables can now be captured as patients go about their daily lives. The results of this study show that the external environment has a significant impact on the quality of gait metrics. Thus, context of external walking environment is an important consideration when analyzing ambulatory gait metrics from the unsupervised home and community setting.
  • Keywords
    biomedical measurement; body sensor networks; cameras; gait analysis; inertial systems; ambulatory gait metrics; blind folded walking; busy hallway; clinic; community setting; daily lives; external environment; external walking environment; gait metric quality; gait patterns; gait variables; inertial sensor; laboratory; mobility metrics; normal path; peak shank rotation rate; rough ground; stance time; stride time variability; swing; time 30 min; unsupervised home setting; wearable camera; Biomedical monitoring; Cameras; Communities; Context; Legged locomotion; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944249
  • Filename
    6944249