Stéphane Armand

Biomechanics and physiological parameters during gait in lower-limb amputees: A systematic review

OBJECTIVE The purpose of this systematic review was to identify which biomechanical and physiological parameters are the most relevant, commonly used, able to discriminate and/or have specific clinical relevance for the gait analysis of lower-limb amputees (LLA). METHODS We performed an electronic search via the PubMed, EMBASE and ISI Web of Knowledge databases from 1979 to May 2009. Two independent reviewers assessed the title and abstract of each identified study. The quality assessment of the full text was undertaken using a 13-item checklist divided into three levels: A, B, and C. RESULTS The literature search identified 584 abstracts to be considered. After applying the inclusion criteria, we reviewed the full text of a total of 89 articles. The mean article quality was 8±2. No A-level article was found; the primary reason was a negative score in blinded outcome assessment. Sixty-six articles (74%) corresponded to a B-level, and two articles (2%) corresponded to a C-level. Twenty-one articles (24%) did not acquire enough points to be assigned to any level. In this study, we present and discuss the most commonly used and most relevant 32 parameters. Many of the parameters found were not reported in enough studies or in enough detail to allow a useful evaluation. CONCLUSION This systematic review can help researchers compare, choose and develop the most appropriate gait evaluation protocol for their field of study, based on the articles with best scores on the criteria list and the relevance of specific biomechanical and physiological parameters.

Biomechanical ToolKit

C3D file format is widely used in the biomechanical field by companies and laboratories to store motion capture systems data. However, few software packages can visualize and modify the integrality of the data in the C3D file. Our objective was to develop an open-source and multi-platform framework to read, write, modify and visualize data from any motion analysis systems using standard (C3D) and proprietary file formats (used by many companies producing motion capture systems). The Biomechanical ToolKit (BTK) was developed to provide cost-effective and efficient tools for the biomechanical community to easily deal with motion analysis data. A large panel of operations is available to read, modify and process data through C++ API, bindings for high-level languages (Matlab, Octave, and Python), and standalone application (Mokka). All these tools are open-source and cross-platform and run on all major operating systems (Windows, Linux, MacOS X).

Effects of obesity on functional capacity

To assess the relationships between BMI and walking speed, balance control, sit‐to‐stand performance (a measure of mass specific lower limb power), and endurance.

Investigation of standing balance in diabetic patients with and without peripheral neuropathy using accelerometers.

BACKGROUND Peripheral neuropathy is recognised to be the most symptomatic complication of diabetes and is also linked to postural instability. This study investigates balance instability in diabetic patients with and without peripheral neuropathy. METHODS Quiet standing balance was investigated using an accelerometric-based method in 24 diabetic patients (12 with and 12 without peripheral neuropathy) and compared with 12 control subjects. Accelerations were measured at lumbar and ankle levels using three accelerometers. Two standing conditions of 30s were evaluated (i.e., eyes opened, eyes closed). The range and root mean square values were calculated on the anterior posterior component of lumbar and ankle accelerations and for the medial lateral component of lumbar accelerations. Differences between parameters were compared between groups using ANOVA and post hoc comparisons. FINDINGS The diabetic patients with peripheral neuropathy show higher-range and root mean square values compared with those of control subjects and diabetic patients without peripheral neuropathy. Significant differences between groups have been detected for anterior posterior range of lumbar acceleration, which was significantly higher for diabetic patients with peripheral neuropathy, compared with those of others groups. Significant higher values for diabetic patients with peripheral neuropathy were also detected for anterior posterior range and root mean square of ankle accelerations compared with control subjects. Visual deprivation shows an increase in accelerometric parameters for each group. INTERPRETATION This study is the first to investigate the balance instability of diabetic patients using accelerometers. Results confirm that diabetic patients with peripheral neuropathy have greater postural instability with higher acceleration values than those of control group and diabetic patients without peripheral neuropathy.

Sit-to-stand alterations in advanced knee osteoarthritis

This study investigated the full-body strategies utilized during a sit-to-stand (STS) task in patients with knee osteoarthritis (OA) and the association between STS alterations and clinical measurements. Twenty-five patients with advanced knee OA and twenty healthy elderly adults were recruited to participate in this study. Patients were asked to stand up from a chair four times without using their arms. A 3D motion analysis system was used to capture the full-body kinematics during the task. Two force plates were used to capture the forces under each leg. The following parameters were investigated in the knee OA group and compared with the control group: the time to realize STS, the force ratio between both limbs, the knee and hip kinetics and the trunk kinematics. The pain and functional capacity were obtained from the WOMAC. The results showed that patients with knee OA put 10% additional weight on the contralateral side when compared with the symmetrical strategy of the control group. Patients with knee OA showed a significantly lower knee flexion moment (0.51 Nm/kg vs. 0.72 Nm/kg), a higher maximal trunk flexion (46.4° vs. 37.5°), and a higher lateral trunk lean on the contralateral side (2.4° vs. 0.9°) when compared with the control group. The main correlations were found between pain and the averaged time to complete the STS task (r=0.55). With the quantification of the full-body mechanisms utilized during the STS task, which includes both distal and proximal compensations, our study brings new insights, leading to a better understanding of the functional alterations in patients with advanced knee OA.

Does knee alignment influence gait in patients with severe knee osteoarthritis

BACKGROUND Patients with knee osteoarthritis present an altered gait pattern. Amongst many factors, the lower limb alignment (varus, valgus) has been identified as an important risk factor for the progression of knee osteoarthritis. Among the large number of studies on knee osteoarthritis gait, only a few have included patients with a valgus deformity. The aims of this study were to determine how knee alignment influences full-body gait in patients with knee osteoarthritis and if knee malalignment is associated with pain and functional capacity. METHODS Sixty patients with severe knee osteoarthritis scheduled for a total knee arthroplasty were included in this study. Twenty-six subjects were recruited as the control group. The spatio-temporal parameters, three-dimensional full-body kinematics, and lower body kinetics were evaluated during a comfortable gait and compared between the groups. Pain and function were assessed with the WOMAC questionnaire. FINDINGS The full-body gait analysis demonstrated substantially different gait patterns and compensation mechanisms between the three groups. Patients with varus knee alignment significantly augmented their trunk movements in sagittal and frontal planes compared to patients with a valgus knee. In addition, patients with a valgus knee reported lower pain and lower functional deficits compared to patients with a varus knee. INTERPRETATION We found that gait compensations were significantly influenced by lower limb alignment. These new insights related to different knee osteoarthritis gait patterns might help in the understanding of gait compensation behaviours prior to total knee arthroplasty and better manage the strategies of rehabilitation following surgery.

Adapted timed up and go: a rapid clinical test to assess gait and cognition in multiple sclerosis.

Background/Aims: To measure the Timed Up and Go (TUG), imagined TUG (iTUG), and the difference of time between these two tests (delta time) in 20 patients with relapsing-remitting multiple sclerosis (RRMS) and 20 healthy age-matched controls and to examine whether an association with cognitive functions, motor impairment, and behavioral changes can be determined. Methods: The mean ± SD of TUG, iTUG and delta time were used as outcomes. Spatiotemporal gait parameters were recorded by a 12-camera optoelectronic system during straight walking at usual self-selected speed. Cognitive functions were assessed by a standardized neuropsychological examination. Results: Patients performed the TUG slower than the controls (10.00 ± 1.70 s vs. 8.71 ± 1.04 s, p = 0.01, respectively). The TUG was correlated with gait parameters, cognitive functions, and behavior, whereas delta time was correlated only with cognitive functions. Conclusion: TUG represents an interesting test to reveal subtle deficits in RRMS patients with low disability and is related to motor, cognitive, and behavioral functioning. Combining with the TUG, delta time could easily give additional information on specific cognitive functions in the assessment of patients with RRMS.

Clinical factors associated with gait alterations in diabetic patients

Aim  To identify clinical factors associated with gait alterations in patients with Type 2 diabetes.

Trunk movements during gait in cerebral palsy

BACKGROUND Lower limb deficits have been widely studied during gait in cerebral palsy, deficits in upper body have received little attention. The purpose of this research was to describe the characteristics of trunk movement of cerebral palsy children in terms of type of deficits (diplegia/hemiplegia) and gross motor function classification system (1, 2 or 3). METHODS Data from 92 cerebral palsy children, which corresponds to 141 clinical gait analysis, were retrospectively selected. Kinematic parameters of trunk were extracted from thorax and spine angles in the sagittal, transverse and coronal planes. The range of motion and the mean positions over the gait cycle were analysed. Intra-group differences between the children with diplegia or hemiplegia, gross motor function classification systems 1 to 3 and typically developing participants were analysed with Kruskal-Wallis tests and post hoc tests. Pearson correlation coefficients between the gait profile score normalised walking speed and kinematic parameters of the thorax were assessed. FINDINGS The results revealed: 1) the range of motion of the thorax and spine exhibited more significant differences between groups than the mean positions; 2) greater levels of impairment were associated with higher thorax range of motion, and 3) the children with diplegia and gross motor function classification system 3 exhibited a greater range of motion for all planes with the exception of spine rotation. INTERPRETATION This study confirmed that greater levels of impairment in cerebral palsy are associated with greater thorax range of motion during gait. The thorax plays an important role during gait in cerebral palsy.

Identification of gait patterns in individuals with cerebral palsy using multiple correspondence analysis

Great importance has been placed on the development of gait classification in cerebral palsy (CP) to assist clinicians. Nevertheless, gait classification is challenging within this group because the data is characterized by a high-dimensionality and a high-variability. Thus, the aim of this study was to analyze without a priori, a database of clinical gait analysis (CGA) of CP patients, using multiple correspondence analysis (MCA). A retrospective search, including biomechanical and clinical parameters was done between 2006 and 2012. One hundred and twenty two CP patients were included in this study (51 females and 71 males, mean age ± SD: 14.2 ± 7.5 years). Sixteen biomechanical spatio-temporal and kinematic parameters were included in the analysis. This data was transformed by a fuzzy window coding based on the distribution of each parameter in three modalities: low, average and high. Afterward, a MCA was used to associate parameters and to define classes. From this, seven most explicative gait parameters used to characterize gait of CP patients were identified: maximal hip extension, hip range, knee range, maximal knee flexion at initial contact, time of peak knee flexion, and maximal ankle dorsiflexion in stance phase and in swing phase. Moreover, four main profiles of CP patients have been defined from the multivariate approach: an apparent equinus gait group (the most similar of the control group with diplegic and hemiplegic patients with a GMFCS 1), a true equinus gait group (the youngest group with diplegic and some hemiplegic patients with a GMFCS 1), a crouch gait group (the oldest group with a majority of diplegic and rare hemiplegic patients with a GMFCS 2) and a jump knee gait group (the greatest level of global spasticity of the lower limbs with a majority of diplegic and rare hemiplegic patients with a GMFCS 2). Thus, this study showed the feasibility of the MCA in order to characterize and classify a large database of CP patients.