• DocumentCode
    3209849
  • Title

    Multivariate assessment of differences between a neuromuscular electrical stimulation therapy and robotic treadmill training in the rehabilitation of spinal cord injured rats

  • Author

    Sanchez, P. ; Agarwal, Abhishek ; Askari, Sina ; de Leon, Ray ; ChongJin Park ; Won, D.S.

  • Author_Institution
    Electr. & Comput. Eng. Dept., California State Univ. - Los Angles, Los Angles, CA, USA
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    5825
  • Lastpage
    5828
  • Abstract
    A study was conducted to evaluate and compare the effects of two different rehabilitation therapies on spinal cord injured (SCI) rats: neuromuscular electrical stimulation which is timed to robotic treadmill training (NMES+RTT) and RTT alone. Several electromyography (EMG) based variables were measured, but most did not change significantly after treatment, contrary to observations of overall qualitative stepping ability. However, when the variables are viewed in multi-dimensional space, there are visible differences between changes after NMES+RTT vs. those after RTT only. Principal component analysis (PCA) and k-means clustering were applied to the multivariate data. The data in principal component space was significantly separated, according to the Euclidean distance. PCA also provided a straightforward tool for selecting which combination of measures to compare. The measures which best separated out the differences between NMES+RTT and RTT were percentage of steps associated with bursts, burst-to-step latency, and the standard deviation of this latency, even though these measures did not always show the greatest statistical significance individually. Thus, the rehabilitative effects of NMES+RTT are not necessarily reflected in individual EMG measures, but rather in a combination of the measures representing a multi-dimensional space.
  • Keywords
    electromyography; medical robotics; neuromuscular stimulation; patient rehabilitation; patient treatment; principal component analysis; EMG; Euclidean distance; PCA; SCI rats; burst-to-step latency; electromyography based variables; k-means clustering; multidimensional space; multivariate assessment; neuromuscular electrical stimulation therapy; principal component analysis; principal component space; robotic treadmill training; spinal cord injured rat rehabilitation; Electromyography; Medical treatment; Neuromuscular; Principal component analysis; Robots; Spinal cord injury; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610876
  • Filename
    6610876