[Simulation design and experimental study of magnetic stimulation coil for robot pigeon].

Journal: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
PMID: 36854559

Abstract

To explore the feasibility of applying magnetic stimulation technology to the movement control of animal robots, the influence of coil radius, number of turns and other factors on the intensity, depth and focus of magnetic stimulation was simulated and analyzed for robot pigeons. The coil design scheme was proposed. The coil was placed on the head and one of the legs of the pigeon, and the leg electromyography (EMG) was recorded when magnetic stimulation was performed. Results showed that the EMG was significantly strengthened during magnetic stimulation. With the reduction of the output frequency of the magnetic stimulation system, the output current was increased and the EMG was enhanced accordingly. Compared with the brain magnetic stimulation, sciatic nerve stimulation produced a more significant EMG enhancement response. This indicated that the magnetic stimulation system could effectively modulate the functions of brain and peripheral nerves by driving the coil. This study provides theoretical and experimental guidance for the subsequent optimization and improvement of practical coils, and lays a preliminary theoretical and experimental foundation for the implementation of magnetic stimulation motion control of animal robots.

Authors

  • Menghua Xu
    Shandong Key Laboratory of Robot and Intelligent Technology, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
  • Xin Pu
    Shandong Key Laboratory of Robot and Intelligent Technology, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
  • Ming Chang
    Division of Nephrology, Dalian Municipal Central Hospital, Dalian, China.
  • Yang Song
    Biomedical and Multimedia Information Technology (BMIT) Research Group, School of IT, University of Sydney, NSW 2006, Australia. Electronic address: yson1723@uni.sydney.edu.au.
  • Fuzhe Ma
    Shandong Key Laboratory of Robot and Intelligent Technology, Shandong University of Science and Technology, Qingdao, Shandong 266510, P. R. China.
  • Ruituo Huai
    College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao Shandong Province, 266590, China.
  • Junqing Yang
    Institute of RF and OE-ICs, Southeast University, Nanjing 210096, China.
  • Hui Chang
    Department of Thoracic Surgery, No. 153 Hospital of Liberation Army, Zhengzhou, China.
  • Feng Shao
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

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