Hand orientation is an important control parameter during reach-to-grasp task. In this paper, we presented a study for predicting hand orientation of non-human primate by decoding neural activities from primary motor cortex (M1). A non-human primate subject was guided to do reaching and grasping tasks meanwhile neural activities were acquired by chronically implanted microelectrode arrays. A Support Vector Machines (SVMs) classifier has been trained for predicting three different hand orientations using these M1 neural activities. Different number of neurons were selected and analyzed; the classifying accuracy was 94.1% with 2 neurons and was 100% with 8 neurons. Data from highly event related neuron units contribute a lot to the accuracy of hand orientation prediction. These results indicate that three different hand orientations can be predicted accurately and effectively before the actual movements occurring with a small number of related neurons in M1.
语种：
外文
被引次数：
WOS：
PubmedID：
第一作者：
第一作者单位：[1]Huazhong Univ Sci & Technol, Neural Interface & Rehabil Technol Res Ctr, Wuhan 430074, Peoples R China
通讯作者：
推荐引用方式(GB/T 7714)：
Zhang Peng,Ma Xuan,Huang Hailong,et al.Predicting Hand Orientation in Reach-to-grasp Tasks Using Neural Activities from Primary Motor Cortex[J].2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC).2014,1306-1309.doi:10.1109/EMBC.2014.6943838.
APA：
Zhang, Peng,Ma, Xuan,Huang, Hailong&He, Jiping.(2014).Predicting Hand Orientation in Reach-to-grasp Tasks Using Neural Activities from Primary Motor Cortex.2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC),,
MLA：
Zhang, Peng,et al."Predicting Hand Orientation in Reach-to-grasp Tasks Using Neural Activities from Primary Motor Cortex".2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) .(2014):1306-1309
