• DocumentCode
    139389
  • Title

    Brain-controlled functional electrical stimulation for lower-limb motor recovery in stroke survivors

  • Author

    McCrimmon, Colin M. ; King, Christine E. ; Wang, Po T. ; Cramer, Steven C. ; Nenadic, Zoran ; Do, An H.

  • Author_Institution
    Dept. of Biomed. Eng., UCI, Irvine, CA, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1247
  • Lastpage
    1250
  • Abstract
    Despite the prevalence of stroke-induced gait impairment due to foot drop, current rehabilitative practices to improve gait function are limited, and orthoses can be uncomfortable and do not provide long-lasting benefits. Therefore, novel modalities that may facilitate lasting neurological and functional improvements, such as brain-computer interfaces (BCIs), have been explored. In this article, we assess the feasibility of BCI-controlled functional electrical stimulation (FES) as a novel physiotherapy for post-stroke foot drop. Three chronic stroke survivors with foot drop received three, 1-hour sessions of therapy during 1 week. All subjects were able to purposefully operate the BCI-FES system in real time. Furthermore, the salient electroencephalographic (EEG) features used for classification by the data-driven methodology were determined to be physiologically relevant. Over the course of this short therapy, the subjects´ dorsiflexion active range of motion (AROM) improved by 3°, 4°, and 8°, respectively. These results indicate that chronic stroke survivors can operate the BCI-FES system, and that BCI-FES intervention may promote functional improvements.
  • Keywords
    bioelectric phenomena; brain-computer interfaces; electroencephalography; gait analysis; medical signal processing; neurophysiology; patient rehabilitation; patient treatment; signal classification; AROM; BCI-FES intervention; BCI-FES system; BCI-controlled functional electrical stimulation; EEG; brain-computer interfaces; brain-controlled functional electrical stimulation; chronic stroke survivors; data-driven methodology classification; functional improvements; gait function; lower-limb motor recovery; neurological improvements; orthoses; physiotherapy; post-stroke foot drop; rehabilitative practices; salient electroencephalographic features; stroke-induced gait impairment; subject dorsiflexion active range of motion; time 1 hr; time 1 week; Brain modeling; Decoding; Electroencephalography; Feature extraction; Foot; Medical treatment; Signal to noise ratio;
  • 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.2014.6943823
  • Filename
    6943823