Temporal representation of arm force direction using fNIRS signals
Temporal representation of arm force direction using fNIRS signals
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使用 fNIRS 信号的臂力方向的时间表示
DOI：
10.1109/iembs.2011.6091729
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Yasuhiro Wada
中科院分区：
文献类型：
--
作者：
Yasuyuki Muto;Taiki Ishii;Shuichi Matsuzaki;Yasuhiro Wada
我们研究了从fNIRS信号创建大脑活动的时间表示的可能性。在一项实验中，受试者在四个方向上进行等长手臂运动，并在他们大脑左半球的主要运动区测量fNIRS信号。我们使用两种分类器：稀疏线性回归（SLR）和支持向量机（SVM）从fNIRS信号中估计臂力的方向。SLR的分类准确率约为70%。SLR选择的特征的时间分布与SVM选择的特征的时间分布相同。结果表明，fNIRS信号在刺激开始和结束后的4-6 [s]内可能包含了臂力方向的信息。
We investigated the possibility of creating a temporal representation of brain activity from fNIRS signals. In an experiment, subjects performed isometric arm movements in four directions, and fNIRS signals were measured over the primary motor area in the left hemisphere of their brain. We estimated the direction of the arm force from the fNIRS signals by using two classifiers: sparse linear regression (SLR) and support vector machine(SVM). Classification accuracy was approximately 70% with SLR. The temporal distribution of the features selected with SLR was the same as those selected with SVM. The results indicated that the fNIRS signals possibly included information about arm force direction in 4-6 [s] after stimulus onset and offset.