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老年人平衡能力特点及评估 被引量:19
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作者 霍洪峰 林佳龙 +1 位作者 赵亮 赵焕彬 《中国组织工程研究与临床康复》 CAS CSCD 北大核心 2007年第51期10331-10334,共4页
学术背景:平衡能力是人体的一项重要生理机能,在人类生活中有非常重要的意义。特别是老年人平衡能力下降,直接影响老年人独立生活能力,严重的会引起老年人跌倒,诱发其他疾病。目的:总结老年人平衡能力的国内外研究现状,并展望未来老年... 学术背景:平衡能力是人体的一项重要生理机能,在人类生活中有非常重要的意义。特别是老年人平衡能力下降,直接影响老年人独立生活能力,严重的会引起老年人跌倒,诱发其他疾病。目的:总结老年人平衡能力的国内外研究现状,并展望未来老年人平衡能力研究的发展方向。检索策略:应用计算机检索PubMed数据库1990-12/2007-06有关老年人平衡能力方面的文章,检索词"elderly,balance",限定文章语言种类为English,共检索到208篇文章。同时应用计算机检索中国期刊全文数据库、万方数据库1997-12/2007-06的相关文章,检索词"老年人、平衡能力",限定文章语言种类为中文,共检索到85篇文章。对资料进行初审,选取符合研究要求的有关文章找全文。纳入标准:①平衡能力的研究。②老年人平衡特征。③平衡能力评价。④运动干预对平衡能力的研究。排除理由:①较陈旧的文献。②重复研究。文献评价:共19个研究满足全部纳入标准,予以纳入。其中6篇为老年人平衡特征的文献、8篇平衡评价的文献、5篇运动干预老年人平衡影响的文献。资料综合:①平衡能力是人体相关系统功能的集中表现,研究影响平衡能力的前庭系统、视觉系统、躯体感觉、神经系统及肌肉-骨骼等系统功能增龄性的变化趋势,探究导致平衡能力增龄性变化的主要因素是待解决的问题。②平衡测试是定量评定平衡能力的前提,针对老年群体的特殊性,逐步寻求安全、简捷能全面反映其平衡能力的测试方法。③国内专业人员日益提高了对平衡的关注,发表的论文也较多,但由于平衡评定方法不统一,对中国人民平衡能力增龄性变化的研究没有继承性,研究国民的平衡能力增龄性变化是必要的。④众多研究表明,体育锻炼可以延缓平衡能力的衰退。但研究比较分散,运动项目比较单一,探究利于干预的运动项目以及最佳时机是待解决的热点课题。结论:建立一整套适合中国国民平衡能力评价体系,研究国民的平衡能力增龄性变化是十分有必要的,为全民健身活动中的老年人科学地进行健身提供依据。 展开更多
关键词 老年人 平衡能力 运动干预 探讨
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基于人体行走系统功能认知的步态稳定性判据 被引量:6
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作者 吴晓光 杨磊 +2 位作者 韦磊 刘绍维 王挺进 《仪器仪表学报》 EI CAS CSCD 北大核心 2018年第11期204-213,共10页
鉴于现有双足机器人行走过程步态稳定性判据的不足和人类高效、稳定、协调的行走步态特征,提出一种基于人体行走运动特征及前庭平衡系统功能认知的步态稳定性判据,实现对步态稳定性的定量判别。根据人体行走运动特征和人体前庭平衡系统... 鉴于现有双足机器人行走过程步态稳定性判据的不足和人类高效、稳定、协调的行走步态特征,提出一种基于人体行走运动特征及前庭平衡系统功能认知的步态稳定性判据,实现对步态稳定性的定量判别。根据人体行走运动特征和人体前庭平衡系统工作原理,将表征人体运动步态稳定性特征的矢状面质心角动量、质心前向加速度、零力矩点与中心力矩轴的前向距离进行多参数加权融合;利用粒子群优化算法进行参数优化;构建基于人体行走运动特征及前庭平衡系统功能的多参数融合的综合步态稳定性判定方法。经实验分析,该方法得到的稳定性判别指数集中分布在0.02~0.03区间内,能够实现步态稳定性的定量判别。实验结果验证了所提出的步态稳定性判据的有效性与可行性,是准确刻画步态稳定性的新方法。 展开更多
关键词 人体步态特征 前庭平衡系统 多参数加权融合 步态稳定性判据
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Development of Cueing Algorithm Based on “Closed-Loop” Control for Flight Simulator Motion System 被引量:3
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作者 ZHU Daoyang DUAN Shaoli FANG Da 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2019年第5期376-382,共7页
The classical washout algorithm had fixed gains and manually constructed filters, so that it led to poor adaptability. Furthermore, it lost the sustained acceleration cues of high-and mid-frequency in cross-over(tilt-... The classical washout algorithm had fixed gains and manually constructed filters, so that it led to poor adaptability. Furthermore, it lost the sustained acceleration cues of high-and mid-frequency in cross-over(tilt-coordination) channel, and the acceleration of cross-over frequency was also limited by angular velocity limiter, so the false cues in flight simulation process were clearly perceived by pilots. The paper studied the characteristics of the classical washout algorithm and flight simulator motion platform, tried to redesign the source of cross-over acceleration channel and translation acceleration channel, and transferred the part of cross-over acceleration that was unsimulated sustained acceleration to translation acceleration channel. Comparisons were mainly made between classical washout algorithm and revised algorithm in a longitudinal/pitch direction. The evaluation was based on the implementation of human vestibular perception system. The results demonstrated that the revised algorithm could significantly reduce the phase lag, and improved the spikes tracking performance. Furthermore, sensory angular velocity and the error of sensory acceleration were strictly controlled within the threshold of human perception system, and the displacement was a little broader than the classical washout algorithm. Therefore, it was proved that the new algorithm could diminish the filters parameters and heighten the self-adaptability for the washout algorithm. In addition, the magnitude of false cues was remarkably reduced during flight simulator, and the workspace utilization of the motion platform was developed by "closed-loop" control system. 展开更多
关键词 classical WASHOUT ALGORITHM human vestibular system "closed-loop" control false CUES
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A Novel Nonlinear Scaling Method for Optimal Motion Cueing Algorithm in Flight Simulator 被引量:2
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作者 ZHU Daoyang DUAN Shaoli +1 位作者 SHANG Jinqiu GUO Ping 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2020年第5期452-460,共9页
Motion cueing algorithm plays a key role in simulator motion reproduction and improves the realism of movement sensation by combining with the human vestibular system.It is well established that scaling&limiting s... Motion cueing algorithm plays a key role in simulator motion reproduction and improves the realism of movement sensation by combining with the human vestibular system.It is well established that scaling&limiting should be used to decrease the amplitude of the acceleration and angular velocity signals for making full use of limited workspace of motion platform.A novel nonlinear scaling method based on a third-order polynomial and back propagation(BP)neural networks for the motion cueing algorithm is proposed in this paper.The third-order polynomial method is applied to the low amplitude segment of the input signal to minimize the trigger delay of the sensation acceleration;in the high amplitude segment,the BP neural network is used to adaptively adjust the scaling factor of the input signal,to avoid washout displacement and angular displacement beyond the boundary of the workspace.The simulation experiment is verified in the longitudinal/pitch direction for flight simulator,and the result implies that the proposed method not only can overcome the problem of constant scaling parameter and improve motion platform workspace utilization,but also reduce the false cues during the motion simulation process. 展开更多
关键词 optimal motion cueing algorithm nonlinear scaling human vestibular system dynamic fidelity
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