Extracting Attempted Hand Movements from EEGs in People with Complete Hand Paralysis Following Stroke.
Extracting Attempted Hand Movements from EEGs in People with Complete Hand Paralysis Following Stroke.
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DOI：
10.3389/fnins.2011.00039
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发表时间：
2011
影响因子：
4.3
通讯作者：
Taylor DM
中科院分区：
文献类型：
--
作者：
Muralidharan A;Chae J;Taylor DM
本研究探讨了使用脑电图（EEG）快速检测皮层下缺血性中风后完全性手麻痹患者张开手的意图的可行性。如果可检测到，这种运动规划活动可以真实的使用来触发机动手外骨骼或打开/闭合手的电刺激设备。虽然EEG触发的运动辅助设备可以恢复功能，但它们也可以通过加强剩余皮层回路的使用来促进恢复。当参与者被提示放松或试图伸展手指时，脑电图被记录下来。线性判别分析被用来检测从脑电图的手指延伸的发作留一试验交叉验证过程中。在每个测试试验中，分类器从初始手放松阶段开始，通过运动规划，并进入初始手指伸展阶段（从未受影响的手中测量的典型运动开始时间估计的手指伸展阶段），以伪实时方式应用。分类器检测到在电机规划和早期尝试执行相比，休息时，以显着更高的速率的手指伸展。为了减少在休息期间对运动辅助设备的不适当触发，可以调整分类阈值以在触发设备之前要求关于人的移动意图的更多确定性。此外，可以将设备设置为仅在一行中的多个时间样本被分类为手指伸展事件之后才激活。这些选项导致一些会话在人休息时没有错误触发，但在快速运动期间有中等到高的真实触发率。
This study examines the feasibility of using electroencephalograms (EEGs) to rapidly detect the intent to open one's hand in individuals with complete hand paralysis following a subcortical ischemic stroke. If detectable, this motor-planning activity could be used in real time to trigger a motorized hand exoskeleton or an electrical stimulation device that opens/closes the hand. While EEG-triggered movement-assist devices could restore function, they may also promote recovery by reinforcing the use of remaining cortical circuits. EEGs were recorded while participants were cued to either relax or attempt to extend their fingers. Linear-discriminant analysis was used to detect onset of finger-extension from the EEGs in a leave-one-trial-out cross-validation process. In each testing trial, the classifier was applied in pseudo-real-time starting from an initial hand-relaxed phase, through movement planning, and into the initial attempted-finger-extension phase (finger-extension phase estimated from typical time-to-movement-onset measured in the unaffected hand). The classifiers detected attempted-finger-extension at a significantly higher rate during both motor-planning and early attempted execution compared to rest. To reduce inappropriate triggering of a movement-assist device during rest, the classification threshold could be adjusted to require more certainty about one's intent to move before triggering a device. Additionally, a device could be set to activate only after multiple time samples in a row were classified as finger-extension events. These options resulted in some sessions with no false triggers while the person was resting, but moderate-to-high true trigger rates during attempted-movements.
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DOI：
10.1155/asp.2005.3103
发表时间：
2005-01-01
期刊：
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
影响因子：
--
作者：
Schröder, M;Lal, TN;Schölkopf, B
通讯作者：
Schölkopf, B
影响因子：
4.7
作者：
Oostenveld, R;Praamstra, P
通讯作者：
Praamstra, P
影响因子：
8.3
作者：
Buch, Ethan;Weber, Cornelia;Birbaumer, Niels
通讯作者：
Birbaumer, Niels
影响因子：
3
作者：
Pfurtscheller, G;Neuper, C;Edlinger, G
通讯作者：
Edlinger, G
影响因子：
7.5
作者：
Guyon, I;Weston, J;Vapnik, V
通讯作者：
Vapnik, V