• DocumentCode
    3113971
  • Title

    Gait Energy Efficiency in Children with Cerebral Palsy

  • Author

    Rosen, Sanae ; Tucker, Carole A. ; Lee, Samuel CK

  • Author_Institution
    Biomed. Eng. Program, Drexel Univ., Philadelphia, PA
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    1220
  • Lastpage
    1223
  • Abstract
    Children with cerebral palsy (CP) expend up to three times the energy required for ambulation as compared to typically developed children of the same age. Measuring the metabolic energy required to execute a task is an intuitively appealing way to quantify task efficiency. Task energy demand is often quantified through pulmonary tests that measure oxygen consumption. Although providing an accepted measure of energy demand, these tests are technically demanding and staff intensive. For this reason, we sought a measure of gait efficiency based on spatiotemporal and kinematic parameters that would be reflective of the energy cost during ambulation in children with cerebral palsy. Gait data from 18 subjects with CP over 30 separate data collection sessions was used. Statistical analysis showed oxygen cost highly correlates to several kinematic variables, most notably, pelvic tilt, walking speed, landing angle and the biomechanical efficiency quotient (BEQ). The results of the work support the development of a computational model that would capture gait energy efficiency
  • Keywords
    cellular biophysics; gait analysis; kinematics; muscle; neurophysiology; oxygen; physiological models; pneumodynamics; spatiotemporal phenomena; statistical analysis; O2; biomechanical efficiency quotient; cerebral palsy; energy cost; gait energy efficiency; kinematic parameters; landing angle; metabolic energy; oxygen consumption; pelvic tilt; pulmonary tests; spatiotemporal parameters; statistical analysis; task energy demand; walking speed; Birth disorders; Computational modeling; Costs; Energy efficiency; Energy measurement; Kinematics; Legged locomotion; Spatiotemporal phenomena; Statistical analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260744
  • Filename
    4461978