1. Key Laboratory of Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027,China; 2. College of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027,China; 3. Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China
Based on the principle of metal foil differential bridge measurement of full bridge and lever principle,a pressure force sensor with small-range and big-trip was designed by theoretical calculation, in order to accurately capture the stress of rat forelimb movement, and then analyze the relationship between rat's brain primary motor cortex neurons signal and its motion perception. Adopting high precision peripheral component interconnect (PCI) signal acquisition and control output module, a rat experiment pressure stem detection system was design. The trail results show that this designed sensor overcomes the limitations in measurement accuracy and range compared with existing sensors; The pressure lever detection system can on-line record the force of the rat forelimb movement force and display parameters, and this designed detection system can detect the force of the rat forelimb movement force with high accuracy and precision. The system can notably improve the performance of brain-computer interface in detecting small animal motion.
ZHU Fan, JIANG Kai, LV Rong-kun, ZHANG Shao-min, ZHENG Xiao-xiang. Small range big-trip pressure lever detection system and its application in brain-computer interface. J4, 2011, 45(9): 1693-1696.
[1] WOLPAW J, BIRBAUMER N, MCFAR LAND D, et al. Brain–computer interfaces for communication and control[J]. Clinical Neurophysiology, 2002,113(6): 767-791. [2] HOCHBERG L, SERRUYA M, FRIEHS G, et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia[J]. Nature, 2006, 442(7099):164-171. [3] LEBEDEV M, NICOLELIS M. Brainmachine interfaces: past, present and future[J]. Trends in Neuroscience, 2006, 29 (9): 536-546. [4] 邵晓卓. 脑机接口中大鼠行为的脑电分析与识别[D].杭州:浙江大学, 2006:2-5. SHAO Xiaozhuo. Braincomputer interface of rats behavior EEG analysis and identification[D].Hangzhou: Zhejiang University, 2006:2-5. [5] 光磊,封洲燕. 神经细胞群峰电位的自动定量分析[J]. 浙江大学学报:工学版, 2008, 42(9): 1641-1647. GUANG Lei, FENG Zhouyan. Automatic quantitative analysis methods for neuronal population spikes[J].Journal of Zhejiang University: Engineering Science, 2008, 42(9): 1641-1647. [6] SCHWARTZ A, WEBER D, MORAN D,et al. Braineontrolled interfaces: movement restoration with neural prosthetics[J]. Neuron, 2006,52(1): 205-220. [7] CHAPIN J, MOXON K , MARKOWITZ R, et al. Realtime control of a robot arm using simultaneously re corded neurons in the motor cortex[J]. Nature Neuroscience,1999, 2(7):664-670. [8] 王雪文,张志勇.传感器原理及应用[M]. 北京:航空航天大学出版社, 2005:149-150.