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复杂系统与复杂性科学  2017, Vol. 14 Issue (4): 72-78    DOI: 10.13306/j.1672-3813.2017.04.008
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人体手部运动的振荡共振辅助系统实验研究
张立, 孙华通, 潘园园, 段法兵
青岛大学复杂性科学研究所,山东 青岛 266071
Experimental Study of Vibration-Resonance Aided System in Human Hand Movement
ZHANG Li, SUN Huatong, PAN Yuanyuan, DUAN Fabing
Institute of Complexity Science, Qingdao University, Qingdao 266071, China
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摘要 劳动分工、生活节奏的加快以及疾病等因素使得人体手部神经系统对外界感知灵敏度降低,也导致了中国人体运动障碍的患者数目庞大。针对这类因素导致的手部运动稳定性降低的问题,设计了一套振荡共振辅助系统,对于人体手部运动进行了生理实验研究。该辅助运动系统由多个微电机形成高频振荡源,将不同振动强度的振荡信号作用于手背部。对手部运动的方差和相关时间分析,证明振荡共振辅助系统能够提高手部神经系统的反应灵敏度,增强手部运动的平稳性,为人体医学康复仪器设计和制作提供了很好的生理实验基础。
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张立
孙华通
潘园园
段法兵
关键词 人体运动障碍振荡共振辅助系统轨迹方差自相关时间    
Abstract:The division of labor, the fast-paced life, the disease and other factors make the hand of the nervous system to reduce the sensitivity of external perception. Since these factors degrade the stability of human hand movements, the paper designs vibration-resonance aided system, and studies the feasibility of this system in the enhancement of human hand movements. The signal source of the vibration-resonance aided system is generated by several vibration micro-motors that act on the opisthenar with different vibrational intensities. Analysis of variance and correlation time of the autocorrelation function hand movement, we find that the vibration-resonance aided system can improve the responsiveness of the nervous system and improve the stability of human hand movements, which is also meaningful for the design of medical rehabilitation instruments.
Key wordshand nervous system    vibration-resonance aided system    vibrational intensity    movement variance    correlation time
收稿日期: 2017-08-26      出版日期: 2019-01-16
ZTFLH:  TN911.7  
  R331  
基金资助:国家自然科学基金(61573202);山东省科技发展计划(2014GGX101031)
通讯作者: 段法兵(1974),男,山东邹城人,博士,教授,主要研究方向为随机共振。   
作者简介: 张 立(1993-),男,山东宁津人,硕士研究生,主要研究方向为震荡共振机理与医学应用。
引用本文:   
张立, 孙华通, 潘园园, 段法兵. 人体手部运动的振荡共振辅助系统实验研究[J]. 复杂系统与复杂性科学, 2017, 14(4): 72-78.
ZHANG Li, SUN Huatong, PAN Yuanyuan, DUAN Fabing. Experimental Study of Vibration-Resonance Aided System in Human Hand Movement. Complex Systems and Complexity Science, 2017, 14(4): 72-78.
链接本文:  
http://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2017.04.008      或      http://fzkx.qdu.edu.cn/CN/Y2017/V14/I4/72
[1]Anderson F C, Pandy M G..Dynamic optimization of human walking[J]. Journal of Biomechanical Engineering, 2001, 123(5):381390.
[2]Stucki G, Ewert T, Cieza A. Value and application of the ICF in rehabilitation medicine[J]. Disability and Rehabilitation, 2003, 25(1112):628634.
[3]Benzi R, Sutera A, Vulpiani A. The mechanism of stochastic resonance[J]. Journal of Physics A General Physics, 1981, 14(11):L453L457.
[4]Benzi R, Parisi G, Sutera A, et al. Stochastic resonance in climatic change[J]. Tellus, 1982, 34(1):1016.
[5]Mcnamara B, Wiesenfeld K. Theory of stochastic resonance[J]. Physical Review AGeneral Physics, 1989, 39(9):48544869.
[6]Douglass J K, Wilkens L, Pantazelou E, et al. Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance[J]. Nature, 1993, 365(6444):337340.
[7]Collins J J, Imhoff T T, Grigg P. Noise-enhanced information transmission in rat SA1 cutaneous mechanoreceptors via aperiodic stochastic resonance[J]. Journal of Neurophysiology, 1996, 76(1):642645.
[8]Fallon J B, Carr R W, Morgan D L. Stochastic resonance in muscle receptors[J]. Journal of Neurophysiology, 2004, 91(6):24292436.
[9]Kurita Y, Sueda Y, Ishikawa T, et al. Surgical grasping forceps with enhanced sensorimotor capability via the stochastic resonance effect[J]. IEEE-ASME Transactions on Mechatronics, 2016, 21(6):26242634.
[10] Kaut O, Allert N, Coch C, et al. Stochastic resonance therapy in Parkinson's disease[J]. Neurorehabilitation, 2011, 28(4): 353358.
[11] Hur P, Wan Y H, Na J S. Investigating the role of vibrotactile noise in early response to perturbation[J]. IEEE Transactions on Biomedical Engineering, 2014, 61(6): 16281633.
[12] Rogan S, Radlinger L, Hilfiker R, et al. Feasibility and effects of applying stochastic resonance whole-body vibration on untrained elderly: a randomized crossover pilot study[J]. BMC Geriatrics, 2015, 15(1):18.
[13] Wang K K, Wang Y J, Li S H. Stability and stochastic resonance for a time-delayed cancer development system subjected to noises and multiplicative periodic signal[J]. Fluctuation and Noise Letters, 2017, 16(3): 1750022.
[14] Wang K K, Xu Z R,Wang Y J , et al. Stochastic resonance for a forest growth system subjected to non-Gaussiannoises and a multiplicative periodic signal[J]. Chinese Journal of Physics, 2017, 55(4): 13871399.
[15] Wang K K, Wang Y J, Li S H, et al.Double time-delays induced stochastic dynamical characteristics for a metapopulation system subjected to the associated noises and a multiplicative periodic signal[J]. Chaos, Solitons and Fractals, 2017, 104: 400417.
[16] Landa P S, McClintock P V E. Vibrational resonance[J]. Journal of Physics A Mathematical and General, 2000, 33(45):L433L438.
[17] Ren Y H, Duan F B. Theoretical and experimental implementation of vibrational resonance in an array of hard limiters[J]. Physica A Statistical Mechanics and Its Applications, 2016, 456:319326.
[18] 任昱昊, 季冰, 许丽艳,等. 振荡随机共振的信噪比增益研究与电路仿真[J]. 复杂系统与复杂性科学, 2015, 12(1):104109.
RenYuhao, Ji Bing, XuLiyan, et al. Research and circuit simulation on SNR gain of vibrational stochastic resonance[J]. Complex Systems and Complexity Science, 2015, 12(1):104109.
[19] Ullner E, Zaikin A, GarcíA-Ojalvo J, et al. Vibrational resonance and vibrational propagation in excitable systems[J]. Physics Letters A, 2003, 312(5/6):348354.
[20] STMicroelectronics N V. RM008 Reference manual[DB/OL]. [2012820]. http://www.st.com.
[21] Laganiere R. Opencv 2 Computer Vision Application Programming Cookbook[M]. Birmingham:Packt Publishing, 2011:168188.
[22] opencv.org. The opencv reference manual release.2.4.13.0[DB/OL]. [2016512]. http://docs.opencv.org.
[23] 盛骤. 概率论与数理统计[M]. 第3版.北京:高等教育出版社, 2008:100110.
[24] 吴祈耀, 朱华, 黄辉宁. 统计无线电技术[M]. 北京:国防工业出版社, 1980:7590.
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