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
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
DOI :
10.1109/EMBC.2014.6943823