O174 Preliminary results of testing the recoveriX system on stroke patients. Issue 9 (September 2017)
- Record Type:
- Journal Article
- Title:
- O174 Preliminary results of testing the recoveriX system on stroke patients. Issue 9 (September 2017)
- Main Title:
- O174 Preliminary results of testing the recoveriX system on stroke patients
- Authors:
- Irimia, Danut
Ortner, Rupert
Fernandes, Francisco
Guger, Christoph
Heilinger, Alexander
Walchshofer, Martin
Gruenwald, Johannes - Abstract:
- Abstract : Motor imagery based brain-computer interfaces (BCI) extract the movement intentions of subjects in real-time and can be used to control a cursor or medical devices. In the last years, the control of functional electrical stimulation (FES) devices drew researchers' attention for the post-stroke rehabilitation field. In here, a patient can use the movement imagery to artificially induce movements of the paretic arms through FES in real-time. Five patients who had a stroke that affected the motor system participated in the current study, and were trained across 10 to 24 sessions lasting about 40 min each with the recoveriX® system. The patients had to imagine 80 left and 80 right hand movements. The electroencephalogram (EEG) data was analyzed with Common Spatial Patterns (CSP) and linear discriminant analysis (LDA) and a feedback was provided in form of a cursor on a computer screen. If the correct imagination was classified, the FES device was also activated to induce the right or left hand movement. In at least one session, all patients were able to achieve a maximum accuracy above 96%. Moreover, all patients exhibited improvements in motor function. On one hand, the high accuracies achieved within the study show that the patients are highly motivated to participate into a study to improve their lost motor functions. On the other hand, this study reflects the efficacy of combining motor imagination, visual feedback and real hand movement that activates tactile andAbstract : Motor imagery based brain-computer interfaces (BCI) extract the movement intentions of subjects in real-time and can be used to control a cursor or medical devices. In the last years, the control of functional electrical stimulation (FES) devices drew researchers' attention for the post-stroke rehabilitation field. In here, a patient can use the movement imagery to artificially induce movements of the paretic arms through FES in real-time. Five patients who had a stroke that affected the motor system participated in the current study, and were trained across 10 to 24 sessions lasting about 40 min each with the recoveriX® system. The patients had to imagine 80 left and 80 right hand movements. The electroencephalogram (EEG) data was analyzed with Common Spatial Patterns (CSP) and linear discriminant analysis (LDA) and a feedback was provided in form of a cursor on a computer screen. If the correct imagination was classified, the FES device was also activated to induce the right or left hand movement. In at least one session, all patients were able to achieve a maximum accuracy above 96%. Moreover, all patients exhibited improvements in motor function. On one hand, the high accuracies achieved within the study show that the patients are highly motivated to participate into a study to improve their lost motor functions. On the other hand, this study reflects the efficacy of combining motor imagination, visual feedback and real hand movement that activates tactile and proprioceptive systems. … (more)
- Is Part Of:
- Clinical neurophysiology. Volume 128:Issue 9(2017:Sep.)
- Journal:
- Clinical neurophysiology
- Issue:
- Volume 128:Issue 9(2017:Sep.)
- Issue Display:
- Volume 128, Issue 9 (2017)
- Year:
- 2017
- Volume:
- 128
- Issue:
- 9
- Issue Sort Value:
- 2017-0128-0009-0000
- Page Start:
- e234
- Page End:
- e235
- Publication Date:
- 2017-09
- Subjects:
- Stroke -- Stroke rehabilitation -- Neurofeedback -- BCI -- Neurorehabilitation -- Virtual reality -- Neuroplasticity
Neurophysiology -- Periodicals
Electroencephalography -- Periodicals
Electromyography -- Periodicals
Neurology -- Periodicals
612.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13882457 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.clinph.2017.07.184 ↗
- Languages:
- English
- ISSNs:
- 1388-2457
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.310645
British Library DSC - BLDSS-3PM
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- 4649.xml