Using principal component analysis to reduce complex datasets produced by robotic technology in healthy participants.

导出 OA

翻译打印收藏纠错

作者： Michael D,Wood ^[1] ; Leif E R,Simmatis ^[1] ; J,Gordon Boyd ^[1] ; Stephen H,Scott ^[2] ; Jill A,Jacobson ^[3]

作者单位： Centre for Neuroscience Studies, Queen's University, Botterell Hall, 18 Stuart St, Kingston, ON, Canada. ^[1] Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada. ^[2] Department of Medicine, Queen's University, Kingston, ON, Canada. ^[3] Department of Psychology, Queen's University, 318 Craine Hall, 62 Arch Street, Kingston, ON, K7L 3N6, Canada. jill.jacobson@queensu.ca. ^[4]

关键词 Data reduction End-point robot KINARM Principal component analysis

主题词成年人(Adult);女(雌)性(Female);人类(Humans);男(雄)性(Male);主成分分析(Principal Component Analysis);本体感觉(Proprioception);机器人(Robotics)

DOI 10.1186/s12984-018-0416-5

PMID 30064448

发布时间 2019-08-07

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交