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Influence of medial longitudinal arch flexibility on lower limb joint coupling coordination and gait impulse. 内侧纵弓灵活性对下肢关节耦合协调和步态冲力的影响。
Pub Date : 2024-10-03 DOI: 10.1016/j.gaitpost.2024.10.002
Xuanzhen Cen, Peimin Yu, Yang Song, Dong Sun, Minjun Liang, István Bíró, Yaodong Gu

Background: A causal link exists between structural differences in the foot and alterations in the lower limb biomechanics, which might predispose an individual to develop characteristic musculoskeletal disorders.

Research question: This study aimed to determine how the foot structural characteristics, as represented by the medial longitudinal arch flexibility, affect lower limb joint coupling coordination and anterior-posterior ground reaction impulses (GRIs) during walking and running.

Methods: Following the calculation of arch height flexibility, a total of fifty-four physically active males were grouped and completed gait experiments to collect kinematic and kinetic data synchronously. Inter-joint coordination and variability were calculated from the angle-angle plots of knee-hip, ankle-knee, and metatarsophalangeal (MTP)-ankle couplings based on an optimized vector coding technique.

Results: Our results indicate that coupling coordination of interest and its variability, as well as anterior-posterior GRIs, could potentially be influenced due to differences in arch height flexibility. Notably, the individuals with stiff arches exhibited significantly greater coordination variabilities during the early stance for both ankle-knee and MTP-ankle coordination yet significantly smaller for MTP-ankle coordination variabilities during the mid-stance phase. Furthermore, combining the statistical parametric mapping analysis results, the flexible arches experienced a greater proportion of GRIs in the anterior-posterior direction.

Significance: In conclusion, these observations demonstrated that variations in arch flexibility led to differences in lower limb joint coordination variabilities and GRIs during gait. This fresh insight into inter-joint coordinative function may be useful for enhancing foot motion strategies based on arch structural characteristics.

背景:足部结构差异与下肢生物力学改变之间存在因果关系,这可能会导致个体患上特征性肌肉骨骼疾病:本研究旨在确定以足弓内侧纵向灵活性为代表的足部结构特征如何影响步行和跑步过程中的下肢关节耦合协调和前后地面反应脉冲(GRIs):在计算足弓高度灵活性后,将 54 名身体活跃的男性分组并完成步态实验,同步收集运动学和动力学数据。根据优化的矢量编码技术,从膝-髋、踝-膝和跖趾关节(MTP)-踝关节耦合的角度-角度图中计算关节间的协调性和变异性:结果:我们的研究结果表明,足弓高度灵活性的差异可能会影响相关耦合协调性及其可变性,以及前后GRIs。值得注意的是,足弓僵硬的个体在早期站立时,踝关节-膝关节和 MTP-踝关节的协调变异性明显更大,但在中期站立阶段,MTP-踝关节的协调变异性明显更小。此外,结合统计参数映射分析结果,灵活的足弓在前后方向上出现 GRI 的比例更大:总之,这些观察结果表明,足弓灵活性的变化导致了步态过程中下肢关节协调变异性和GRI的差异。这种对关节间协调功能的新认识可能有助于根据足弓结构特征改进足部运动策略。
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引用次数: 0
Mechanisms of gait speed changes in middle-aged adults: Simultaneous analysis of magnitude and temporal effects. 中年人步速变化的机制:同时分析幅度和时间效应。
Pub Date : 2024-09-26 DOI: 10.1016/j.gaitpost.2024.09.017
Vinayak Vijayan, Shanpu Fang, Timothy Reissman, Allison L Kinney, Megan E Reissman

Background: Middle-aged adults represent the transition between younger and older adults, where some of the characteristic gait differences due to aging begins to surface. However, the gait characteristics of middle-aged adults across the whole gait cycle remains an understudied topic. As speed is a sensitive indicator of health, characterizing the effects of speed on the gait of middle-aged adults and differentiating it from the response of young adults will provide insights into the effects of aging on gait speed modulation mechanisms.

Research question: What are the mechanisms of gait speed changes that are employed by middle-aged adults, and how are they different from younger adults?

Methods: A cohort of healthy young and middle-aged adults completed 60 second trials at three different speeds. Joint kinematics, kinetics, and surface electromyography data were analyzed and compared between the speed levels and age groups. Statistical Parametric Mapping along with a nonlinear curve registration algorithm was used to simultaneously assess the changes in both magnitude and timing of different metrics.

Results: When compared to the younger cohort, the middle-aged cohort had significantly lower ankle range of motion, dorsiflexion moment during loading response and plantarflexion moment during push-off. At the knee joint, the middle-aged adults had significantly lower knee flexion moment during stance. At the hip joint, the middle-aged adults had lower extension moment during terminal stance.

Significance: Time-continuous analysis showed that primary differences due to age were related to decreased joint range of motion and joint moment production capability in the middle-aged adults. Faster walking appears a safe method for middle-aged adults to increase joint range of motion and joint moment expression. However, targeted interventions that focus on improving capability are likely also needed. Suggested targets being improving ankle and knee joint moment capability, and increased range of motion at all joints.

背景:中年人是年轻人和老年人之间的过渡阶段,在这一阶段,一些因衰老而产生的步态差异特征开始显现。然而,中年人在整个步态周期中的步态特征仍然是一个研究不足的课题。由于速度是衡量健康状况的一个敏感指标,研究速度对中年人步态的影响并将其与年轻人的反应区分开来,将有助于深入了解衰老对步态速度调节机制的影响:研究问题:中年人步速变化的机制是什么,与年轻人有何不同?一组健康的年轻人和中年人以三种不同的速度完成了 60 秒钟的试验。对关节运动学、运动学和表面肌电图数据进行分析,并在速度水平和年龄组之间进行比较。统计参数映射法和非线性曲线注册算法被用于同时评估不同指标的幅度和时间变化:结果:与年轻组相比,中年组的踝关节活动范围、加载反应时的背屈力矩和推起时的跖屈力矩明显较小。在膝关节,中年人在站立时的膝关节屈曲力矩明显较低。在髋关节,中年人在终站时的伸展力矩较低:时间连续分析表明,年龄造成的主要差异与中年人关节活动范围和关节力矩产生能力的下降有关。对于中年人来说,快走似乎是增加关节活动范围和关节力矩表达的一种安全方法。不过,可能还需要采取有针对性的干预措施,重点提高能力。建议的目标是提高踝关节和膝关节的力矩能力,并增加所有关节的活动范围。
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引用次数: 0
The effects of cognitive-motor interference on walking performance in adolescents with low balance. 认知运动干扰对平衡能力差的青少年行走能力的影响。
Pub Date : 2024-09-23 DOI: 10.1016/j.gaitpost.2024.09.016
Benjamin David Weedon, Patrick Esser, Johnny Collett, Hooshang Izadi, Mario Inacio, Shawn Joshi, Andy Meaney, Anne Delextrat, Steve Kemp, Helen Dawes

Background: Children with reduced motor competence (MC) have reported differences in their walking performance when compared to their typically developed peers, albeit, with inconsistent results.

Research questions: What is the effect of reduced balance on walking performance in adolescent boys and girls under cognitive-motor interference conditions?

Methods: This cross-sectional study assessed motor competence, in adolescents aged 13-14 years, using the Movement Assessment Battery for Children 2nd edition and walking performance from gait parameters derived from an inertial measurement unit placed over the estimated centre of mass. Each participant performed two 10 m straight-line walks at their self-selected speed. These consisted of a walk with no distractions and a cognitive-motor interference walk (reciting the alternate letters of the alphabet out loud). A two-way mixed ANOVA was used to assess for significant interactions.

Results: 365 adolescents, (low balance = 58, typical balance = 307) participated in this study (boys = 204, girls = 161). Significant interactions were reported between MC groups and walking condition for walking speed in boys (F(1,195) = 5.23, p= 0.02, ηp2 = 0.03) and girls (F(1,154) = 4.05, p= 0.046, ηp2 = 0.03). Both sexes with low balance reduced their walking speed to a greater extent than their typically developed peers under cognitive-motor interference conditions compared to the single-task walk. In addition, boys with low balance reported increased stride length variability (F(1,198)= 4.40, p= 0.037, ηp2= 0.02) compared to typically developed peers.

Significance: Adolescents with low balance report altered walking. Our data could support a better understanding of the relationship between balance and gait and may help the development of interventions to support those with difficulties.

背景:据报道,运动能力(MC)下降的儿童与发育正常的同龄人相比,在行走表现上存在差异,尽管结果并不一致:研究问题:在认知-运动干扰条件下,平衡能力下降对青春期男孩和女孩的行走能力有何影响?这项横断面研究使用儿童运动评估电池第 2 版对 13-14 岁青少年的运动能力进行评估,并根据放置在估计质心上方的惯性测量装置得出的步态参数评估步行表现。每位受试者以自己选择的速度进行了两次 10 米直线行走。其中包括一次无干扰行走和一次认知运动干扰行走(大声背诵字母表中的交替字母)。采用双向混合方差分析来评估是否存在显著的交互作用:共有 365 名青少年(低平衡力 = 58 人,典型平衡力 = 307 人)参加了这项研究(男生 = 204 人,女生 = 161 人)。男生(F(1,195) = 5.23, p= 0.02, ηp2 = 0.03)和女生(F(1,154) = 4.05, p= 0.046, ηp2 = 0.03)的步行速度在 MC 组和步行条件之间存在显著的交互作用。与单任务步行相比,在认知-运动干扰条件下,平衡能力差的男女儿童比发育正常的同龄儿童更大程度地降低了步行速度。此外,与发育正常的同龄人相比,平衡能力差的男孩步长变异性增加(F(1,198)= 4.40,p= 0.037,ηp2= 0.02):重要意义:平衡能力差的青少年表示行走能力有所改变。我们的数据有助于更好地理解平衡与步态之间的关系,并有助于制定干预措施,为有困难的青少年提供支持。
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引用次数: 0
How reliable are femoropelvic kinematics during deep squats? The influence of subject-specific skeletal modelling on measurement variability. 深蹲时的股骨盆运动学有多可靠?受试者特定骨骼模型对测量变异性的影响。
Pub Date : 2024-07-01 Epub Date: 2024-05-08 DOI: 10.1016/j.gaitpost.2024.05.006
Dalia Al Otti, Stijn Ghijselings, Filip Staes, Lennart Scheys

Background: Biplanar radiography displays promising results in the production of subject-specific (S.specific) biomechanical models. However, the focus has predominantly centred on methodological investigations in gait analysis. Exploring the influence of such models on the analysis of high range of motion tasks linked to hip pathologies is warranted. The aim of this study is to investigate the effect of S.Specific modelling techniques on the reliability of deep squats kinematics in comparison to generic modelling.

Methods: 8 able-bodied male participants attended 5 motion capture sessions conducted by 3 observers and performed 5 deep squats in each. Prior to each session a biplanar scan was acquired with the reflective-markers attached. Inverse kinematics of pelvis and thigh segments were calculated based on S.specific and Generic model definition. Agreement between the two models femoropelvic orientation in standing was assessed with Bland-Altman plots and paired t- tests. Inter-trial, inter-session, inter-observer variability and observer/trial difference and ratio were calculated for squat kinematic data derived from the two modelling approaches.

Results: Compared to the Generic model, the S.Specific model produced a calibration trial that is significantly offset into more posterior pelvis tilt (-2.8±2.7), hip extension (-2.2±3.8), hip abduction (-1.2±3.6) and external rotation (-13.8±11.4). The S.specific model produced significantly different squat kinematics in the sagittal plane of the pelvis (entire squat cycle) and hip (between 40 % and 60 % of the squat cycle). Variability analysis indicated that the error magnitude between the two models was comparable (difference<2°). The S.specific model exhibited a lower variability in the observer/trial ratio in the sagittal pelvis and hip, the frontal hip, but showed a higher variability in the transverse hip.

Significance: S.specific modelling appears to introduce a calibration offset that primarily translates into an effect in the sagittal plane kinematics. However, the clinical added value of S.specific modelling in terms of reducing experimental sources of kinematic variability was limited.

背景:双平面放射摄影在制作特定对象(S.specific)生物力学模型方面取得了可喜的成果。然而,重点主要集中在步态分析的方法研究上。有必要探索此类模型对分析与髋关节病变有关的高运动范围任务的影响。方法:8 名健全男性参与者参加了由 3 名观察者进行的 5 次运动捕捉训练,每次进行 5 个深蹲。在每次训练之前,都要进行一次附有反射标记的双平面扫描。根据S.specific和Generic模型定义计算骨盆和大腿节段的逆运动学。通过布兰德-阿尔特曼图和配对 t 检验来评估两种模型在站立时股骨盆方向的一致性。对两种建模方法得出的下蹲运动学数据计算了试验间、时段间、观察者间的变异性以及观察者/试验间的差异和比率:与通用模型相比,S.specific 模型产生的校准试验明显偏向于更多的骨盆后倾(-2.8±2.7)、髋关节伸展(-2.2±3.8)、髋关节外展(-1.2±3.6)和外旋(-13.8±11.4)。S.specific模型在骨盆矢状面(整个深蹲周期)和髋关节矢状面(深蹲周期的40%到60%之间)产生了明显不同的深蹲运动学。变异性分析表明,两个模型之间的误差幅度相当(差异显著性:0.5%):S.specific建模似乎引入了校准偏移,主要转化为对矢状面运动学的影响。然而,S.specific 建模在减少运动学变异性实验来源方面的临床附加值有限。
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引用次数: 0
Sleep analysis via wearable sensors in people with Parkinson’s disease 通过穿戴式传感器对帕金森病患者进行睡眠分析
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.07.244
Salvatore Tedesco, Colum Crowe, Marco Sica, Lorna Kenny, Brendan O'Flynn, David Scott Mueller, Suzanne Timmons, John Barton
Parkinson disease (PD), a well-known illness of motor dysfunction, is characterized by a high prevalence of sleep problems due to degenerative brain changes or comorbid conditions [1]. Wearable devices, in the form of actigraphy, have been shown to also be appropriate for monitoring sleep variables in PD patients [2,3] despite reports that current actigraphy algorithms may misinterpret dysfunctional motor activity, such as tremors, bradykinesia, dyskinesia, and limited arm movement while walking, as well as drug-induced hypermotility, thus making their use problematic in people with PD (PwPD) [4]. The ActiGraph GT3X (Pensacola, FL, USA) accelerometer is capable of recording accelerometry measurements for multiple days at 100 Hz, and has been adopted for massive population-level data collections [5]. In the last few years, Van Hees et al. have developed and made freely available open-source software to estimate sleep variables using data collected from similar off-the-shelf wearable inertial sensors [6]. The goal of this study is to investigate if the ActiGraph data, in combination with Van Hees et al.’s heuristic algorithm Distribution of Change in Z-Angle (HDCZA), can correctly estimate sleep variables in PD patients. To the best of the authors’ knowledge, it is the first study that adopts ActiGraph sensors and this methodology for sleep analysis in PwPD. For further comparison, a custom hardware prototype device named WESAA (Wearable Enabled Symptom Assessment Algorithms) developed at the Tyndall National Institute [8] and with the same capabilities as an ActiGraph device was adopted for additional analysis. Nineteen PD subjects took part in a data collection where participants wore the ActiGraph on their most affected wrist for a minimum of 24 hours and simultaneously filled out a sleep diary. Accelerometer data was collected at 100 Hz. Additionally, six subjects repeated the same data collection protocol while wearing the WESAA system. The heuristic algorithm described in [7] was implemented to detect periods of sleep and compared against the participant diaries. Results are shown in Table I and Figure I in the picture below. Accuracy reported on the subjects using the Actigraph was appropriate with an average 77.8±13.6%, even though results were quite variable across patients (between 31.6% and 91.2%). Less variability is shown with the WESAA device, even though only 6 subjects have carried out this data collection, with an average accuracy of 81.9±6.2% (71.8%-90.2%).Download : Download high-res image (157KB)Download : Download full-size image The present investigation shows that ActiGraph accelerometry data collected over 24 hours, in conjunction with the heuristic algorithm HDCZA for the detection of sleep periods, is an appropriate approach to estimate sleep duration even in PwPD. The same algorithm adopted on the WESAA hardware device shows even more promising results but further investigations with a larger sample size are required to c
帕金森病(PD)是一种众所周知的运动功能障碍疾病,其特点是由于大脑退行性改变或合并症导致睡眠问题的高发[1]。活动记录仪形式的可穿戴设备也被证明适合监测PD患者的睡眠变量[2,3],尽管有报道称,目前的活动记录仪算法可能会误解功能失调的运动活动,如震颤、运动迟缓、运动障碍、行走时手臂运动受限以及药物引起的运动亢进,从而使其在PD患者(PwPD)中的使用存在问题[4]。ActiGraph GT3X (Pensacola, FL, USA)加速度计能够在100 Hz下记录多天的加速度测量结果,并已被用于大规模的人口数据收集[5]。在过去的几年中,Van Hees等人开发并免费提供了开源软件,利用从类似的现成可穿戴惯性传感器收集的数据来估计睡眠变量[6]。本研究的目的是探讨ActiGraph数据结合Van Hees等人的启发式算法Distribution of Change in Z-Angle (HDCZA)是否能正确估计PD患者的睡眠变量。据作者所知,这是第一个采用ActiGraph传感器和这种方法对PwPD进行睡眠分析的研究。为了进一步比较,我们采用Tyndall National Institute[8]开发的自定义硬件原型设备WESAA (Wearable Enabled Symptom Assessment Algorithms,可穿戴症状评估算法)进行附加分析,该设备与ActiGraph设备具有相同的功能。19名PD受试者参加了一项数据收集,参与者在他们受影响最严重的手腕上佩戴ActiGraph至少24小时,同时填写睡眠日记。加速度计数据以100 Hz的频率收集。此外,六名受试者在佩戴WESAA系统时重复相同的数据收集方案。采用[7]中描述的启发式算法检测睡眠时间,并与参与者日记进行比较。结果如下图表1和图1所示。使用Actigraph的受试者报告的准确率是合适的,平均为77.8±13.6%,尽管不同患者的结果差异很大(31.6%至91.2%)。WESAA装置的变异性较小,尽管只有6名受试者进行了这项数据收集,平均准确率为81.9±6.2%(71.8%-90.2%)。目前的研究表明,在24小时内收集的ActiGraph加速度测量数据,结合启发式算法HDCZA来检测睡眠时间,即使在PwPD中也是一种估计睡眠时间的合适方法。WESAA硬件设备上采用的相同算法显示出更有希望的结果,但需要更大样本量的进一步调查来证实这一点。资金:这项工作由爱尔兰企业(EI)和艾伯维公司根据协议IP 2017 0625部分支持;部分由爱尔兰科学基金会资助,由欧洲区域发展基金在12/RC/2289-P2-INSIGHT下共同资助。
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引用次数: 0
The importance of the functional base-of-support for clinical biomechanical balance analysis 功能支撑基础对临床生物力学平衡分析的重要性
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.07.233
Lizeth Sloot, Elza van Duijnhoven, Merel A. Brehm, Tamaya Van Criekinge, Matthew Millard
The occurrence of falls and balance problems are common in persons of higher age or with neuromuscular disorders. While clinical balance scales are unable to accurately identify balance, biomechanical balance models (such as the extrapolated center-of-mass) need missing information on the base-of-support formed by the feet [1]. People can balance their body mass above this area formed by the feet without taking a compensatory step. Common impairments such as muscle degeneration likely decrease this support area. Therefore, we evaluated changes in the functional base-of-support (fBOS) resulting from ageing and neuromuscular disorders and the impact on gait balance analysis. We assessed the fBOS in 20 young persons (28±7 yrs), 7 with lower leg muscle weakness due to slowly progressive neuromuscular disorders (63±5 yrs; caption Fig. 1), 7 age-matched middle-aged (62±8 yrs) and 7 old persons (80±3 yrs). Ground forces and foot markers were recorded while participants slowly moved their center-of-pressure in as large circles as possible without moving their feet. The fBOS is modeled was the convex hull enclosing this circled area normalized to marker-based foot dimensions [2]. The effect of ageing of the fBOS on dynamic balance outcomes during walking at heel strike (anterior-posterior direction) was assessed in a dataset of 138 persons across the lifespan [3,4]. The fBOS was only 24% of the foot outline formed by markers for young persons (Fig. 1A) and is 84% smaller in patients with neuromuscular disorders (pttest<0.001). The fBOS decreased with age (pANOVA=0.003), with similar values in mid-age (-24%, pttest=0.11) and a 52% decrease in old age (pttest=0.002) compared to young (Fig. 1A). When taken the fBOS into account, dynamic balance shifts from inside to outside the support area. Extrapolating the age-reduction in fBOS, balance changes from increasing to decreasing with age. Fig. 1: Functional Base of Support (fBOS) for the different participant groups.Download : Download high-res image (333KB)Download : Download full-size image Studies overlook the base-of-support as part of dynamic balance analysis [1]. This study shows the importance of using an accurate model of the fBOS, as a single reference marker does not capture 1) the shape of the effective fBOS; 2) the effects of age and disorder; and 3) changes over the gait cycle. Use of the fBOS revealed reductions in balance in older persons, compared to safer margins without the fBOS. The large group variances indicate that individual fBOS measurements are needed for precise balance assessment. We provide the fBOS model per group and code to apply this to measured markers, so researchers can establish clinical meaningful differences in dynamic balance outcomes. As such, this study strives towards the integration of accurate biomechanical balance analysis in clinical gait analysis.
跌倒和平衡问题的发生在老年人或神经肌肉疾病患者中很常见。虽然临床平衡量表无法准确识别平衡,但生物力学平衡模型(如外推质心)需要缺少足部支撑基础的信息[1]。人们可以在这个由脚形成的区域上平衡他们的体重,而不需要采取补充步骤。常见的损伤如肌肉退化可能会减少这一支撑区域。因此,我们评估了衰老和神经肌肉疾病导致的功能支持基础(fBOS)的变化以及对步态平衡分析的影响。我们评估了20名年轻人(28±7岁)的fBOS, 7名因缓慢进行性神经肌肉疾病而下肢肌肉无力(63±5岁;图1),年龄匹配的中年人(62±8岁)7人,老年人(80±3岁)7人。地面力量和脚部标记被记录下来,同时参与者在不移动脚的情况下尽可能大范围地缓慢移动他们的压力中心。fBOS被建模为包围该圆圈区域的凸壳,归一化为基于标记的脚尺寸[2]。在138人的数据集中评估了fBOS老化对足跟撞击(前后方向)行走时动态平衡结果的影响[3,4]。fBOS仅占年轻人标记物形成的足部轮廓的24%(图1A),神经肌肉疾病患者的fBOS小84% (pttest<0.001)。fBOS随着年龄的增长而下降(pANOVA=0.003),与年轻人相比,中年人的fBOS值相似(-24%,pttest=0.11),老年人的fBOS值下降52% (pttest=0.002)(图1A)。当考虑到fBOS时,动态平衡从内部转移到外部支持区域。推断fBOS的年龄减少,平衡随着年龄的增长从增加到减少。图1:不同参与者群体的功能支持基础(fBOS)。下载:下载高分辨率图片(333KB)下载:下载全尺寸图片作为动平衡分析的一部分,研究忽略了支撑基础[1]。这项研究显示了使用精确的fBOS模型的重要性,因为单一的参考标记不能捕获1)有效fBOS的形状;2)年龄和紊乱的影响;3)步态周期的变化。与不使用fBOS的安全边缘相比,使用fBOS显示老年人平衡能力下降。较大的组方差表明,需要单独的fBOS测量来进行精确的平衡评估。我们提供了每个组的fBOS模型和代码,将其应用于测量的标记物,因此研究人员可以建立动态平衡结果的临床有意义的差异。因此,本研究致力于将准确的生物力学平衡分析整合到临床步态分析中。
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引用次数: 0
Assessing single camera markerless motion capture during upper limb activities of daily living 评估上肢日常生活活动中单摄像头无标记动作捕捉
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.07.222
Bradley Scott, Edward Chadwick, Mhairi McInnes, Dimitra Blana
In a recent scoping review (Scott et al., 2022) we discussed how single camera markerless motion capture (SCMoCap) may help to facilitate motion analysis in situations where it would otherwise not be possible, such as at-home rehabilitation for children with cerebral palsy (Kidziński et al., 2020), and more frequent data collection. However, few studies reported error of measurement in a clinically interpretable manner and there is little evidence assessing SCMoCap during upper limb activities of daily living. Presenting a comprehensive validation of SCMoCap, alongside clinically meaningful evaluation of results would be invaluable for clinicians and future researchers who are interested in implementing upper limb movement analysis into clinical practice (Philp et al., 2021). Are state-of-the-art single camera markerless motion capture methods suitable for measuring joint angles during a typical upper-limb functional assessment? Study participants were instructed to perform a compressive collection of physiological and functional movements that are typically part of an upper limb functional assessment. Movements were repeated 3 times for both the frontal and sagittal planes. Movements were recorded simultaneously with a 10-camera OptiTrack Prime 13 W marker-based motion capture setup (NaturalPoint, USA) and Azure Kinect camera (Microsoft, USA). An eSync2 synchronization device (NaturalPoint, USA) was used to avoid exposure interference between systems. Marker-based bony landmarks and joint centers were collected as recommended by the International Society of Biomechanics (Wu et al., 2005). Marker-based trajectories were processed using MotionMonitor xGen (Innovative Sports Training, USA), where a 20 Hz lowpass Butterworth filter was applied to marker positions. Markerless joint center positions were calculated using Azure Kinect body tracking. Markerless positions were filtered using a 10 Hz lowpass Butterworth filter, then upsampled to 120 Hz matching the OptiTrack recording frequency. Signals were time synchronized using cross correlation. Joint angles were calculated by solving inverse kinematics in OpenSim using Hamner’s model (Hamner, Seth & Delp, 2010). Here we present preliminary results of elbow flexion agreement from one participant during a cup drinking task (see figure1). The agreement between markerless and marker-based methods was evaluated in RStudio using, Bland-Altman analysis (mean difference = -7.49 °, upper limits of agreement 20.87 °, lower limits of agreement -35.85 °); intra-class correlation coefficient (ICC = 0.91 °); and root mean squared error (RMSE = 16.30 °). Fig. 1: Elbow flexion angle during a cup drinking taskDownload : Download high-res image (95KB)Download : Download full-size image Our preliminary results suggest good agreement between markerless and marker-based motion capture for elbow flexion while performing a cup drinking task. The Kinect underestimates joint angles at local maxima and minima (see Fig. 1), a
在最近的范围审查(Scott et al., 2022)中,我们讨论了单摄像头无标记运动捕捉(SCMoCap)如何有助于在不可能的情况下促进运动分析,例如脑瘫儿童的家庭康复(Kidziński et al., 2020),以及更频繁的数据收集。然而,很少有研究报告以临床可解释的方式测量误差,并且很少有证据评估SCMoCap在上肢日常生活活动中的作用。对SCMoCap进行全面验证,并对结果进行有临床意义的评估,对于有兴趣将上肢运动分析应用于临床实践的临床医生和未来的研究人员来说,将是非常宝贵的(Philp et al, 2021)。最先进的单摄像头无标记运动捕捉方法是否适合在典型的上肢功能评估中测量关节角度?研究参与者被指示进行生理和功能运动的压缩集合,这是上肢功能评估的典型组成部分。额、矢状面重复运动3次。使用10个摄像头OptiTrack Prime 13w基于标记的动作捕捉装置(NaturalPoint,美国)和Azure Kinect摄像头(Microsoft,美国)同时记录运动。采用eSync2同步设备(NaturalPoint, USA)避免系统间的暴露干扰。根据国际生物力学学会(International Society of Biomechanics)的建议,收集基于标记物的骨骼地标和关节中心(Wu et al., 2005)。基于标记的轨迹使用MotionMonitor xGen (Innovative Sports Training, USA)进行处理,其中20 Hz低通巴特沃斯滤波器应用于标记位置。使用Azure Kinect身体跟踪计算无标记关节中心位置。使用10hz低通巴特沃斯滤波器对无标记位置进行滤波,然后上采样到120hz,与OptiTrack记录频率相匹配。信号使用互相关进行时间同步。利用Hamner的模型(Hamner, Seth & Delp, 2010)在OpenSim中求解逆运动学计算关节角。在这里,我们提出了一个参与者在喝杯任务期间肘关节弯曲协议的初步结果(见图1)。在RStudio中使用Bland-Altman分析评估无标记法和基于标记法的一致性(平均差= -7.49°,一致性上限20.87°,一致性下限-35.85°);类内相关系数(ICC = 0.91°);均方根误差(RMSE = 16.30°)。我们的初步结果表明,无标记和基于标记的动作捕捉在完成一杯饮料任务时肘关节屈曲的效果之间有很好的一致性。Kinect在局部最大值和最小值处低估了关节角度(见图1),平均差值为-7.49°。Azure Kinect身体跟踪返回的标记位置也会受到极端运动的突然变化的影响,这并不代表运动。
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引用次数: 0
Analyzing the Impacts of Rectus Femoris Transferring and Botulinum Toxin on Cerebral Palsy: a Case study 股直肌转移及肉毒杆菌毒素对脑瘫的影响分析
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.07.143
Sadegh Madadi, Mostafa Rostami, Afshin Taheri Azam
Cerebral palsy is a group of different disorders that affect mobility, muscle tone and erectile structure. This condition is usually caused by damage to the brain during growth and development, usually before birth [1]. Houwen et al. [2] evaluated the effect of Botolinum Toxin treatment on the patterns of muscle activation of the rectus femoris and this study showed that BTX-A injection did not improve lower limb muscle activation patterns during walking. Muthusamy et al. [3] examined the effect of rectus femoris surgery on thirty-eight patients with CP and Patients had a significant improvement in postoperative KROM when preoperative KROM was less than 80% normal.Tedroff et al. [4] was studied in 94 children with cerebral palsy who received BoNT-A injection and results showed that BoNT-A could be effective in reducing muscle tone over a longer period of time. "How does the combination of rectus femoris transfer and botulinum toxin affect gait kinematics, range of motion, and muscle activation patterns in patients with cerebral palsy, and how do the effects compare to each treatment alone?" The study involved a motion data of patient with cerebral palsy and a normal child.a simulation model was created using the inverse dynamics method to analyze the joint angles and muscle forces during walking in opensim. The forward dynamic method was then used to simulate the effects of rectus femoris transfer and Botulinum Toxin injection on muscle weakness and surgery.Download : Download high-res image (149KB)Download : Download full-size image using SPSS V.19 software (ANOVA) and output data obtained from modeling. For right hip flexion, the Transferring group is significantly different from the Botolinum toxin group (P<0.001) and can be due to the weakness of the thigh extensor muscles in the Botulinum Toxin group. For right knee flexion, the surgical group is significantly different from the Botolinum Toxin group (P<0.001) and the patient's initial model and it can be concluded that rectus femoris surgery can cause initial relative improvement in the patient and strengthening the extensor knee muscles can help improve the patient's movement. For left hip flexion, the surgical group is significantly different from the Botolinum Toxin group (P<0.001) and can be due to the weakness of the extensor thigh muscles in the Botolinum Toxin group. For left knee flexion,the surgical group is significantly different from Botolinum Toxin group (P<0.001) and the patient's initial model and it can be concluded that rectus femoris Transferring surgery can cause initial relative improvement in the patient The results show that therapeutic interventions including surgery in the first stage are more effective than botulinum toxin and muscle weakness by botulinum toxin injection in the short term may not be effective and require scheduled studies over long periods of time.
脑瘫是一组不同的疾病,影响运动,肌肉张力和勃起结构。这种情况通常是由于大脑在生长发育过程中受到损伤而引起的,通常在出生前[1]。Houwen等[2]评估了肉毒毒素治疗对股直肌肌肉激活模式的影响,该研究表明,注射BTX-A并没有改善行走时下肢肌肉的激活模式。Muthusamy等[3]研究了股直肌手术对38例CP患者的影响,术前KROM低于正常80%的患者术后KROM有明显改善。Tedroff等[4]对94例接受BoNT-A注射的脑瘫患儿进行了研究,结果表明BoNT-A可以在较长时间内有效降低肌张力。“股直肌转移和肉毒杆菌毒素联合治疗如何影响脑瘫患者的步态运动学、活动范围和肌肉激活模式?与单独治疗相比,效果如何?”本研究收集了脑瘫患者和正常儿童的运动数据。采用逆动力学方法建立仿真模型,分析机器人在opensim中行走时的关节角度和肌肉力。采用正向动力学方法模拟股直肌转移和肉毒毒素注射对肌无力和手术的影响。下载:下载高分辨率图像(149KB)下载:使用SPSS V.19软件(ANOVA)下载全尺寸图像,并输出建模后得到的数据。右髋关节屈曲,转移组与肉毒杆菌毒素组有显著差异(P<0.001),可能是由于肉毒杆菌毒素组大腿伸肌无力所致。对于右膝关节屈曲,手术组与肉毒杆菌毒素组和患者初始模型有显著差异(P<0.001),可以得出结论,股直肌手术可以使患者初始相对改善,加强膝关节伸肌可以帮助改善患者的运动。对于左髋关节屈曲,手术组与肉毒杆菌毒素组有显著差异(P<0.001),这可能是由于肉毒杆菌毒素组大腿伸肌无力所致。对于左膝屈曲,手术组与肉毒杆菌毒素组和患者初始模型有显著差异(P<0.001),可以得出结论,股直肌转移手术可以使患者初始相对改善。结果表明,包括手术在内的治疗干预措施在第一阶段比肉毒杆菌毒素更有效,注射肉毒杆菌毒素治疗肌肉无力在短期内可能无效,需要定期研究在很长一段时间内。
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引用次数: 0
Gastrocnemius medialis Muscle-tendon unit Properties do not differ between Children with unilateral and bilateral spastic Cerebral Palsy 小儿单侧和双侧痉挛性脑瘫的腓肠肌内侧肌肌腱单位特性无差异
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.07.133
Annika Kruse, Andreas Habersack, Bernhard Guggenberger, Markus Tilp, Martin Svehlik
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引用次数: 0
A comparison of 2 models: Plug in Gait and pyCGM2 1.0 Plug - in步态和pyCGM2 1.0两种模型的比较
Pub Date : 2023-09-01 DOI: 10.1016/j.gaitpost.2023.08.021
Corey Josep, Nicolaos Darras
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引用次数: 0
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Gait & posture
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