Toward filtering of athetoid motion with neural networks.
Toward filtering of athetoid motion with neural networks.
复制标题
用神经网络过滤手足徐动运动。
DOI：
10.1109/iembs.2007.4352569
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Riviere,CameronN
中科院分区：
文献类型：
--
作者：
VázquezLópez,JuanJ;Sibenaller,Sara;Ding,Dan;Riviere,CameronN
People with athetoid cerebral palsy (CP) have difficulty using computers due to unintentional involuntary movements in the upper extremities. A neural network-based system has been developed to cancel the undesired motion, and speed up the movements and accuracy in target acquisition and path tracking tasks while using an isometric joystick (U). Nonlinear filtering algorithms were created with neural networks using nonlinear models to help people with athetoid CP to access the computer. This paper presents unfiltered test data that have been collected from patients, and describes the planned filtering approach.
