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Design and Implementation of a Precision Implantation System for Brain-Computer Interface Microneedle
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Yang-yang LIU1, 2, Han-wei CHEN3, Hong-bin WANG2, Bo HAN3, Yong-sheng DENG1, Chao LIU3, *
Science Technology and Engineering | 2025, 25(2) : 667 - 673
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Science Technology and Engineering | 2025, 25(2): 667-673
• Papers·Automation and Computational Technology •
Design and Implementation of a Precision Implantation System for Brain-Computer Interface Microneedle
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Yang-yang LIU1, 2, Han-wei CHEN3, Hong-bin WANG2, Bo HAN3, Yong-sheng DENG1, Chao LIU3, *
Affiliations
  • 1 School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
  • 2 Haian Institute of Intelligent Equipment, Shanghai Jiao Tong University,Nantong 226600, China
  • 3 School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Published: 2025-01-18 doi: 10.12404/j.issn.1671-1815.2400446
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BCI (brain computer interface) is one of the important research methods in the fields of brain cognition, brain medicine and brain-like research,where the precise implantation of microelectrodes is a necessary prerequisite and important guarantee. With the rapid development of robotics, machine vision and artificial intelligence, surgical robots are gradually used in brain-computer interface implantation surgery. To meet the demand for precise implantation of microelectrodes in the somatosensory and cerebral motor cortex of SD(Sprague-Dawley) rats, a vision-guided precision implantation system for brain-computer interface microelectrodes was presented. Based on the method of machine vision to identify the key points of the rat skull, the coordinate system was established to obtain the point cloud information of the rat skull, to realize the high-precision identification and localization of the target points, and to guide the actuator to complete the electrode implantation operation. Through model analysis and animal experiments, it has been demonstrated that the implantation system can accurately identify surgical targets on the subjects, guide the actuator to swiftly penetrate the skull, and accurately and stably implant the electrodes into the target area, which effectively improves the accuracy of microelectrode implantation.

brain-computer interface  /  micro electrode  /  drilling and planting mechanism  /  multi-axis coordination  /  pose recognition
Yang-yang LIU, Han-wei CHEN, Hong-bin WANG, Bo HAN, Yong-sheng DENG, Chao LIU. Design and Implementation of a Precision Implantation System for Brain-Computer Interface Microneedle[J]. Science Technology and Engineering, 2025 , 25 (2) : 667 -673 . DOI: 10.12404/j.issn.1671-1815.2400446
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Article Info
doi: 10.12404/j.issn.1671-1815.2400446
  • Receive Date：2024-01-16
  • Online Date：2025-12-05
  • Published：2025-01-18
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History
  • Received：2024-01-16
  • Revised：2024-10-23
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Affiliations
    1 School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
    2 Haian Institute of Intelligent Equipment, Shanghai Jiao Tong University,Nantong 226600, China
    3 School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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