Gait & posture最新文献

WITHDRAWN: Multidisciplinary biomechanical evaluation of orthopedic foot surgery in cerebral palsy: A clinical case study. 撤回：脑瘫患者足部矫形手术的多学科生物力学评估：临床案例研究。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.247

Gaia van den Heuvel, Wouter Schallig, Babette Mooijekind, Ruud Wellenberg, Melinda Witbreuk, Mario Maas, Marjolein van der Krogt, Annemieke Buizer

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WITHDRAWN: Using machine learning for clustering the IMU data of patients with sagittal imbalance of the spine. 撤回：使用机器学习对脊柱矢状不平衡患者的 IMU 数据进行聚类。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.207

Sadegh Madadi, Mostafa Rostami, Hadi Farahni, Farshad Nikouee, Ram Haddas, Mohammad Samadian

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WITHDRAWN: L5-S1 arthrodesis impact on spino-pelvic parameters, gait, and quality-of-life in a patient with chronic low back pain with spondylolisthesis. 撤稿：L5-S1关节置换术对脊柱骨盆参数、步态和生活质量的影响--一名患有脊柱滑脱症的慢性腰痛患者。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.195

Gilles Prince, Rami Rachkidi, Abir Massaad, Ibrahim Hamati, Moustapha Rteil, Joe Azar, Guy Awad, Nadim Freiha, Mohamad Karam, Ayman Assi

引用次数: 0

WITHDRAWN: Lumbar Spine Muscle Force analysis in different Arm Swing States during gait. 撤回：步态中不同手臂摆动状态下的腰椎肌肉力量分析。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.209

Zahrasadat Mousavi, Mostafa Rostami, Sadegh Madadi

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WITHDRAWN: Predicting outcomes of sagittal imbalance of the spine surgery using IMU data and unsupervised models. 撤回：利用 IMU 数据和无监督模型预测脊柱矢状不平衡手术的结果。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.208

Sadegh Madadi, Mostafa Rostami, Hadi Farahani, Farshad Nikouee, Ram Haddas, Mohammad Samadian

引用次数: 0

WITHDRAWN: Personalized clinical decision-making by evaluating the effects of a selective nerve block on cycling and gait: A clinical case study. 撤稿：通过评估选择性神经阻滞对骑车和步态的影响实现个性化临床决策：临床案例研究。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.251

Hanneke Van Duijnhoven, Lotte Van De Venis, Maarten Nijkrake, Allan Pieterse, Alexander Geurts, Jorik Nonnekes

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WITHDRAWN: Predicting botulinum toxin-a injection effects on gait in a child with hemiparetic cerebral palsy: A case study. 撤回：预测注射肉毒杆菌毒素对偏瘫脑瘫儿童步态的影响：病例研究。

Gait & posture Pub Date : 2024-09-01 Epub Date: 2024-09-03 DOI: 10.1016/j.gaitpost.2024.07.186

Kubra Onerge, Nazif Ekin Akalan, Rukiye Sert, Fuat Bilgili

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。

Gait & posture 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

{"title":"How reliable are femoropelvic kinematics during deep squats? The influence of subject-specific skeletal modelling on measurement variability.","authors":"Dalia Al Otti, Stijn Ghijselings, Filip Staes, Lennart Scheys","doi":"10.1016/j.gaitpost.2024.05.006","DOIUrl":"10.1016/j.gaitpost.2024.05.006","url":null,"abstract":"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.","PeriodicalId":94018,"journal":{"name":"Gait & posture","volume":"112 ","pages":"120-127"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140961272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Gait & posture 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

{"title":"Sleep analysis via wearable sensors in people with Parkinson’s disease","authors":"Salvatore Tedesco, Colum Crowe, Marco Sica, Lorna Kenny, Brendan O'Flynn, David Scott Mueller, Suzanne Timmons, John Barton","doi":"10.1016/j.gaitpost.2023.07.244","DOIUrl":"https://doi.org/10.1016/j.gaitpost.2023.07.244","url":null,"abstract":"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","PeriodicalId":94018,"journal":{"name":"Gait & posture","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135297884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Gait & posture 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

{"title":"The importance of the functional base-of-support for clinical biomechanical balance analysis","authors":"Lizeth Sloot, Elza van Duijnhoven, Merel A. Brehm, Tamaya Van Criekinge, Matthew Millard","doi":"10.1016/j.gaitpost.2023.07.233","DOIUrl":"https://doi.org/10.1016/j.gaitpost.2023.07.233","url":null,"abstract":"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.","PeriodicalId":94018,"journal":{"name":"Gait & posture","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135298053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0