Whole body inverse dynamics over a complete gait cycle based only on measured kinematics

运动学 矢状面 步态 逆动力学 地面反作用力 反向 力矩(物理) 质心(相对论) 动力学(音乐) 数学 部队平台 计算机科学 物理 几何学 机械 声学 经典力学 物理医学与康复 解剖 医学 能量-动量关系
作者
Lei Ren,Richard Jones,David Howard
出处
期刊:Journal of Biomechanics [Elsevier BV]
卷期号:41 (12): 2750-2759 被引量:254
标识
DOI:10.1016/j.jbiomech.2008.06.001
摘要

This paper presents a three-dimensional (3D) whole body multi-segment model for inverse dynamics analysis over a complete gait cycle, based only on measured kinematic data. The sequence of inverse dynamics calculations differs significantly from the conventional application of inverse dynamics using force plate data. A new validated "Smooth Transition Assumption" was used to solve the indeterminacy problem in the double support phase. Kinematic data is required for all major body segments and, hence, a whole body gait measurement protocol is presented. Finally, sensitivity analyses were conducted to evaluate the effects of digital filtering and body segment parameters on the accuracy of the prediction results. The model gave reasonably good estimates of sagittal plane ground forces and moment; however, the estimates in the other planes were less good, which we believe is largely due to their small magnitudes in comparison to the sagittal forces and moment. The errors observed are most likely caused by errors in the kinematic data resulting from skin movement artefact and by errors in the estimated body segment parameters. A digital filtering cut-off frequency of 4.5 Hz was found to produce the best results. It was also shown that errors in the mass properties of body segments can play a crucial role, with changes in properties sometimes having a disproportionate effect on the calculated ground reactions. The implication of these results is that, even when force plate data is available, the estimated joint forces are likely to suffer from similar errors.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
钱都来发布了新的文献求助10
刚刚
123完成签到,获得积分20
刚刚
刚刚
万能图书馆应助十一采纳,获得10
1秒前
Trueman发布了新的文献求助10
1秒前
ZR完成签到,获得积分10
1秒前
joyce930728完成签到 ,获得积分10
1秒前
孙捕完成签到,获得积分10
2秒前
2秒前
LL完成签到 ,获得积分10
2秒前
3秒前
金晓完成签到,获得积分10
3秒前
3秒前
寒冷山雁发布了新的文献求助10
3秒前
chen完成签到,获得积分10
3秒前
slender完成签到,获得积分10
3秒前
思源应助星辰坠于海采纳,获得10
4秒前
Olsters完成签到,获得积分0
4秒前
李霞发布了新的文献求助10
4秒前
会飞的蛋挞完成签到,获得积分10
4秒前
深深完成签到,获得积分10
4秒前
372925abc完成签到,获得积分10
5秒前
LL应助众行绘研采纳,获得10
5秒前
小骆完成签到,获得积分10
6秒前
今天不晚饭吃完成签到,获得积分10
7秒前
chen发布了新的文献求助10
7秒前
脑洞疼应助離殇采纳,获得10
7秒前
飞飞鱼完成签到,获得积分10
7秒前
7秒前
粥啊发布了新的文献求助10
8秒前
8秒前
顺心的觅荷完成签到 ,获得积分10
8秒前
eddie_xiong完成签到,获得积分10
8秒前
李N完成签到 ,获得积分10
8秒前
顾矜应助糖七泡泡采纳,获得10
9秒前
9秒前
竹青完成签到 ,获得积分10
9秒前
11秒前
chenghuan完成签到,获得积分10
11秒前
一一发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Picture this! Including first nations fiction picture books in school library collections 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6391360
求助须知:如何正确求助?哪些是违规求助? 8206509
关于积分的说明 17370485
捐赠科研通 5445028
什么是DOI,文献DOI怎么找? 2878736
邀请新用户注册赠送积分活动 1855284
关于科研通互助平台的介绍 1698510