Abstract
At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT3D robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject's intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT3D robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.
| Original language | English (US) |
|---|---|
| Title of host publication | 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 |
| Pages | 938-942 |
| Number of pages | 5 |
| DOIs | |
| State | Published - Dec 1 2007 |
| Event | 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 - Noordwijk, Netherlands Duration: Jun 12 2007 → Jun 15 2007 |
Publication series
| Name | 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 |
|---|
Other
| Other | 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07 |
|---|---|
| Country | Netherlands |
| City | Noordwijk |
| Period | 6/12/07 → 6/15/07 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Usage of the ACT3D robot in a brain machine interface for hand opening and closing in stroke survivors. / Yao, Jun; Sheaff, Clay; Dewald, Julius P.A.
2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07. 2007. p. 938-942 4428536 (2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Usage of the ACT3D robot in a brain machine interface for hand opening and closing in stroke survivors
AU - Yao, Jun
AU - Sheaff, Clay
AU - Dewald, Julius P.A.
PY - 2007/12/1
Y1 - 2007/12/1
N2 - At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT3D robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject's intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT3D robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.
AB - At six months after brain injury, about 65% of stroke survivors have been shown to be unable to incorporate the affected hand into activities of daily living (ADL). Using a reliable Brain-Machine-Interface (BMI) together with Neural Electronic Stimulation (NES) is a possible solution for the restoration of hand function in severely impaired hemiparetic stroke survivors. However, discoordination, i.e. the abnormal coupling between adjacent joints, causes an expected reduction in the performance of BMI algorithms. In this study, we test whether the active support of an ACT3D robot can increase the performance of two brain-machine-interface (BMI) algorithms in separating the subject's intention to open or close the impaired hand during reach. Improvement in recognition rate was obtained in 4 chronic hemiparetic stroke subjects when support from the robot was available. Further analysis on one subject suggests that such an improvement is related to quantitative changes in cortical activity. This result suggests that the ACT3D robot can be used to train severely impaired stroke subjects to use a BMI-controlled NES device.
UR - http://www.scopus.com/inward/record.url?scp=48349108013&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349108013&partnerID=8YFLogxK
U2 - 10.1109/ICORR.2007.4428536
DO - 10.1109/ICORR.2007.4428536
M3 - Conference contribution
C2 - 20454553
AN - SCOPUS:48349108013
SN - 1424413206
SN - 9781424413201
T3 - 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
SP - 938
EP - 942
BT - 2007 IEEE 10th International Conference on Rehabilitation Robotics, ICORR'07
ER -