Philip X Fuchs, Chang-Hsin Hsieh, Wei-Han Chen, Yen-Shan Tang, Nicholas J Fiolo, Tzyy-Yuang Shiang
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Differences were assessed via repeated-measures ANOVA as partial eta square (<math><msubsup><mrow><mrow><mi>η</mi></mrow></mrow><mi>p</mi><mn>2</mn></msubsup></math>) at <i>p</i> < .05. All layouts correlated with the force plate (<i>r</i> = .70-.99, <i>p</i> < .01). All layout performances were higher in jogging than in walking by <i>r</i> = +.07 ± .04 (<math><msubsup><mrow><mrow><mi>η</mi></mrow></mrow><mi>p</mi><mn>2</mn></msubsup></math>=.28-.66, <i>p</i> < .05). The three- and five-sensor layouts yielded the lowest correlation (<i>r</i> = .70-.88) and the highest coefficient of variation (11-22%). Layout performances improved constantly from 7 to 11 sensors. 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引用次数: 0
摘要
研究试图通过减少传感器数量来验证简化的鞋垫,以促进临床应用。然而,理想的传感器数量尚未确定。目的是研究各种简化压力传感器鞋垫中垂直地面反作用力的有效性,并确定传感器数量和测量性能之间的最佳折衷。用Kistler测力板(1000 Hz)和99传感器Pedar-X鞋垫(100 Hz)获得15名参与者在步行和慢跑时的力数据。模拟了8种简化的鞋垫布局(3-17个传感器)。布置性能用以受力板为参照的Pearson相关系数(r)和变异系数表示。差异通过重复测量方差分析评定为偏方差(ηp2), p < 0.05。所有布局均与力板相关(r = 0.70 -)。99, p < 0.01)。慢跑组的所有布局性能均高于步行组,且r = +。07±0.04 (ηp2= 0.28)。66, p < 0.05)。3个和5个传感器布局的相关性最低(r = 0.70 ~ 0.88),变异系数最高(11 ~ 22%)。从7个传感器到11个传感器,布局性能不断提高。简化和测量性能之间的最佳折衷,通过每个传感器数量的相关性变化来量化,在11个传感器布局中发现,推荐用于改进监测和调整协议的实际设置。
Sensor number in simplified insole layouts and the validity of ground reaction forces during locomotion.
Research attempted to validate simplified insoles with a reduced number of sensors to facilitate clinical application. However, the ideal sensor number is yet to be determined. The purpose was to investigate the validity of vertical ground reaction forces in various simplified pressure sensor insoles and to identify an optimal compromise between sensor number and measurement performance. A Kistler force plate (1000 Hz) and 99-sensor Pedar-X insole (100 Hz) obtained force data of 15 participants during walking and jogging. Eight simplified insole layouts (3-17 sensors) were simulated. Layout performances were expressed as Pearson's correlation coefficients (r) with force plate as reference and coefficient of variation. Differences were assessed via repeated-measures ANOVA as partial eta square () at p < .05. All layouts correlated with the force plate (r = .70-.99, p < .01). All layout performances were higher in jogging than in walking by r = +.07 ± .04 (=.28-.66, p < .05). The three- and five-sensor layouts yielded the lowest correlation (r = .70-.88) and the highest coefficient of variation (11-22%). Layout performances improved constantly from 7 to 11 sensors. The optimal compromise between simplification and measurement performance, quantified via change in correlation per sensor number, was found in the 11-sensor layout, recommendable for practical settings to improve monitoring and adjusting protocols.
期刊介绍:
Sports Biomechanics is the Thomson Reuters listed scientific journal of the International Society of Biomechanics in Sports (ISBS). The journal sets out to generate knowledge to improve human performance and reduce the incidence of injury, and to communicate this knowledge to scientists, coaches, clinicians, teachers, and participants. The target performance realms include not only the conventional areas of sports and exercise, but also fundamental motor skills and other highly specialized human movements such as dance (both sport and artistic).
Sports Biomechanics is unique in its emphasis on a broad biomechanical spectrum of human performance including, but not limited to, technique, skill acquisition, training, strength and conditioning, exercise, coaching, teaching, equipment, modeling and simulation, measurement, and injury prevention and rehabilitation. As well as maintaining scientific rigour, there is a strong editorial emphasis on ''reader friendliness''. By emphasising the practical implications and applications of research, the journal seeks to benefit practitioners directly.
Sports Biomechanics publishes papers in four sections: Original Research, Reviews, Teaching, and Methods and Theoretical Perspectives.