Longitudinal Rollover Strategy as Effective Intervention to Reduce Wrist Injuries During Forward Fall

Longitudinal Rollover Strategy as Effective Intervention to Reduce Wrist Injuries During Forward Fall
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纵向翻滚策略作为有效干预措施,减少向前跌倒时手腕受伤

DOI:
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发表时间:
2018
影响因子:
5.2
通讯作者:
S. Okamoto
S. Okamoto
中科院分区:
计算机科学2区
文献类型:
--
作者:
Saeed Abdolshah;N. Rajaei;Yasuhiro Akiyama;Yoji Yamada;S. Okamoto

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减少跌倒相关伤害的策略已经通过生物力学研究进行了评估,并应用于机器人技术。更好地理解这种坠落制动方法的机制可以帮助坠落预防计划减少伤害,并帮助机器人防止对自己的伤害。围绕纵轴的翻转是减少手部所经历的冲击力并因此减少相关伤害的有效策略;然而,生物力学研究人员和机器人专家都没有研究这种有用的防坠落策略。本研究的目的是调查的冲击力的人的手经历了一个前落使用纵向翻滚策略。我们设计了一系列的跌倒实验,在实验中,受试者被指示使用纵向翻滚和双手策略来阻止向前跌倒。实验结果表明,在向前跌倒时,纵向侧翻大大降低了冲击力和受伤的风险。测量并给出了运动学数据。我们的方法与现有文献中报道的各种前向防坠方法的比较表明,我们提出的防坠策略是最有效的技术之一。我们的研究结果有望为机器人研究人员提供有用的数据,以设计算法,以减少机器人在福尔斯的损害。
Strategies for reducing fall-related injuries have been assessed through biomechanical studies and employed in robotics. A better understanding of the mechanism of such fall arresting methods can help fall prevention programs to reduce injuries and help robots to prevent damage to themselves. Rollover about the longitudinal axis is an effective strategy to reduce the impact force experienced by the hand and consequently reduce the associated injuries; however, neither biomechanical researchers nor roboticists have studied this useful fall arresting strategy. This study was designed to investigate the impact force experienced by the human hand during a forward fall using the longitudinal rollover strategy. We designed a series of fall experiments in which the subjects were instructed to arrest a forward fall using longitudinal rollover and bimanual strategies. The experimental results showed that during a forward fall, longitudinal rollover considerably reduces the impact force and the risk of injuries. The kinematic data of motion were measured and presented. A comparison of our method with various forward fall arresting methods reported so far in the existing literature showed that our proposed fall arresting strategy is one of the most efficient techniques. Our study results are expected to provide robotics researchers with useful data to design algorithms to reduce robot damage during falls.
DOI: 10.1016/j.jbiomech.2003.12.015
发表时间: 2004-09-01
影响因子: 2.4
作者:
Robinovitch, SN;Brumer, R;Maurer, J
通讯作者: Maurer, J