A Multiple Regression Approach to Normalization of Spatiotemporal Gait Features

2016 ◽  
Vol 32 (2) ◽  
pp. 128-139 ◽  
Author(s):  
Ferdous Wahid ◽  
Rezaul Begg ◽  
Noel Lythgo ◽  
Chris J. Hass ◽  
Saman Halgamuge ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Stride Length ◽  
Walking Speed ◽  
Double Support ◽  
Gait Features ◽  
Regression Approach ◽  
Stance Time ◽  
Double Support Time ◽  
Support Time ◽  
Dimensionless Equations

Normalization of gait data is performed to reduce the effects of intersubject variations due to physical characteristics. This study reports a multiple regression normalization approach for spatiotemporal gait data that takes into account intersubject variations in self-selected walking speed and physical properties including age, height, body mass, and sex. Spatiotemporal gait data including stride length, cadence, stance time, double support time, and stride time were obtained from healthy subjects including 782 children, 71 adults, 29 elderly subjects, and 28 elderly Parkinson’s disease (PD) patients. Data were normalized using standard dimensionless equations, a detrending method, and a multiple regression approach. After normalization using dimensionless equations and the detrending method, weak to moderate correlations between walking speed, physical properties, and spatiotemporal gait features were observed (0.01 < |r| < 0.88), whereas normalization using the multiple regression method reduced these correlations to weak values (|r| < 0.29). Data normalization using dimensionless equations and detrending resulted in significant differences in stride length and double support time of PD patients; however the multiple regression approach revealed significant differences in these features as well as in cadence, stance time, and stride time. The proposed multiple regression normalization may be useful in machine learning, gait classification, and clinical evaluation of pathological gait patterns.

scholarly journals Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors

10.2196/27087 ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. e27087
Author(s):  
Julie Soulard ◽  
Jacques Vaillant ◽  
Athan Baillet ◽  
Philippe Gaudin ◽  
Nicolas Vuillerme
Keyword(s):  
Pain Intensity ◽  
Gait Speed ◽  
Stride Length ◽  
Healthy Controls ◽  
Double Support ◽  
Swing Time ◽  
Gait Parameters ◽  
Stance Time ◽  
Double Support Time ◽  
Support Time

Background Axial spondyloarthritis (axSpA) can lead to spinal mobility restrictions associated with restricted lower limb ranges of motion, thoracic kyphosis, spinopelvic ankylosis, or decrease in muscle strength. It is well known that these factors can have consequences on spatiotemporal gait parameters during walking. However, no study has assessed spatiotemporal gait parameters in patients with axSpA. Divergent results have been obtained in the studies assessing spatiotemporal gait parameters in ankylosing spondylitis, a subgroup of axSpA, which could be partly explained by self-reported pain intensity scores at time of assessment. Inertial measurement units (IMUs) are increasingly popular and may facilitate gait assessment in clinical practice. Objective This study compared spatiotemporal gait parameters assessed with foot-worn IMUs in patients with axSpA and matched healthy individuals without and with pain intensity score as a covariate. Methods A total of 30 patients with axSpA and 30 age- and sex-matched healthy controls performed a 10-m walk test at comfortable speed. Various spatiotemporal gait parameters were computed from foot-worn inertial sensors including gait speed in ms–1 (mean walking velocity), cadence in steps/minute (number of steps in a minute), stride length in m (distance between 2 consecutive footprints of the same foot on the ground), swing time in percentage (portion of the cycle during which the foot is in the air), stance time in percentage (portion of the cycle during which part of the foot touches the ground), and double support time in percentage (portion of the cycle where both feet touch the ground). Results Age, height, and weight were not significantly different between groups. Self-reported pain intensity was significantly higher in patients with axSpA than healthy controls (P<.001). Independent sample t tests indicated that patients with axSpA presented lower gait speed (P<.001) and cadence (P=.004), shorter stride length (P<.001) and swing time (P<.001), and longer double support time (P<.001) and stance time (P<.001) than healthy controls. When using pain intensity as a covariate, spatiotemporal gait parameters were still significant with patients with axSpA exhibiting lower gait speed (P<.001), shorter stride length (P=.001) and swing time (P<.001), and longer double support time (P<.001) and stance time (P<.001) than matched healthy controls. Interestingly, there were no longer statistically significant between-group differences observed for the cadence (P=.17). Conclusions Gait was significantly altered in patients with axSpA with reduced speed, cadence, stride length, and swing time and increased double support and stance time. Taken together, these changes in spatiotemporal gait parameters could be interpreted as the adoption of a so-called cautious gait pattern in patients with axSpA. Among factors that may influence gait in patients with axSpA, patient self-reported pain intensity could play a role. Finally, IMUs allowed computation of spatiotemporal gait parameters and are usable to assess gait in patients with axSpA in clinical routine. Trial Registration ClinicalTrials.gov NCT03761212; https://clinicaltrials.gov/ct2/show/NCT03761212 International Registered Report Identifier (IRRID) RR2-10.1007/s00296-019-04396-4

scholarly journals Interference of functional dual-tasks on gait in untrained people with Parkinson’s disease and healthy controls: cross-sectional study

2020 ◽  
Author(s):  
Constanza San Martín Valenzuela ◽  
Lirios Dueñas-Moscardó ◽  
Juan López-Pascual ◽  
Pilar Serra-Añó ◽  
José Manuel Tomás Miguel
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Stride Length ◽  
Yahr Stage ◽  
Cross Sectional ◽  
Secondary Tasks ◽  
Double Support ◽  
Braking Force ◽  
Double Support Time ◽  
Support Time

Abstract Background: In Parkinson’s disease (PD) population, performing secondary tasks while walking further deteriorates gait and restrict mobility in functional contexts of daily life. This study (1) analyzed the interference of functional cognitive and motor secondary task on untrained people with PD and (2) compared their walking with healthy subjects. Methods : Forty people with PD (aged 66.72 [7.5] years, Hoehn and Yahr stage I-II-III on-medication) composed the PD group (PDG) and 43 participants (aged 66.60 [8.75] years) formed the group of healthy counterparts (HG). Gait was evaluated through spatiotemporal, kinematic and kinetic outcomes in five conditions: single task (ST) and visual, verbal, auditory and motor dual-task (DT). Results : The velocity, stride length, and braking force of both groups were statistically higher in the ST than in all DT conditions, and significantly lower in double support time and midstance force.. The same pattern was observed between ST and visual condition on stride length, double support time and braking force for all participants. In addition, the PDG exhibited a shorter double support time and midstance force, and showed a higher braking force in the visual than in the verbal DT, as well as a wider stride in the visual than in the motor condition. PDG participants had a significantly lower performance than the HG in all the variables analyzed except for the maximum hip extension in the stance phase. Conclusions : In untrained participants with PD, verbal and motor secondary tasks affect gait significantly, while auditory and visual tasks interfere to a lesser extent. Untrained people with PD have a poorer gait performance than their healthy counterparts, but in different grades according to the analyzed variables.

scholarly journals Interference of functional dual-tasks on gait in untrained people with Parkinson’s disease and healthy controls: cross-sectional study

2020 ◽  
Author(s):  
Constanza San Martín Valenzuela ◽  
Lirios Dueñas-Moscardó ◽  
Juan López-Pascual ◽  
Pilar Serra-Añó ◽  
José Manuel Tomás Miguel
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Stride Length ◽  
Controlled Trial ◽  
Yahr Stage ◽  
Secondary Tasks ◽  
Double Support ◽  
Braking Force ◽  
Double Support Time ◽  
Support Time

Abstract Background: In Parkinson’s disease (PD) population, performing secondary tasks while walking further deteriorates gait and restrict mobility in functional contexts of daily life. This study (1) analyzed the interference of functional cognitive and motor secondary task on untrained people with PD and (2) compared their walking with healthy subjects. Methods: Forty people with PD (aged 66.72 [7.5] years, Hoehn and Yahr stage I-II-III, on-medication) composed the PD group (PDG) and 43 participants (aged 66.60 [8.75] years) formed the group of healthy counterparts (HG). Gait was evaluated through spatiotemporal, kinematic and kinetic outcomes in five conditions: single task (ST) and visual, verbal, auditory and motor dual-task (DT).Results: The velocity, stride length, and braking force performance of both groups was statistically higher in the ST condition than in verbal, auditory and motor DT (p < .05), and inferior in double support time and midstance force (p < .05). The same pattern was observed when compared the ST and visual DT condition, where participants showed a significantly higher stride length, double support time and braking force in the ST (p < .05). In addition, the PDG exhibited a significant shorter double support time and midstance force, and showed a higher braking force in the visual DT than in the verbal DT (p < .05). Similarly, the PDG showed a wider stride in the visual DT than in the motor DT condition (p < .05). PDG participants had a significantly lower performance than the HG in all the variables analyzed except for the maximum hip extension in the stance phase (p > .05). Conclusions: In untrained participants with PD, verbal and motor secondary tasks affect gait significantly, while auditory and visual tasks interfere to a lesser extent. Untrained people with PD have a poorer gait performance than their healthy counterparts, but in different grades according to the analyzed variables. Trial registration: The data in this paper are part of a single-blind, randomized, controlled trial and correspond to the evaluations performed before a physical rehabilitation program, retrospectively registered with the number at clinicaltrial.gov NCT04038866.

scholarly journals Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

2022 ◽  
pp. 9-18
Author(s):  
Luca Lonini ◽  
Yaejin Moon ◽  
Kyle Embry ◽  
R. James Cotton ◽  
Kelly McKenzie ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Pose Estimation ◽  
Walking Speed ◽  
Single Camera ◽  
Estimation Model ◽  
Double Support ◽  
Clinical Assessments ◽  
Mean Error ◽  
Double Support Time ◽  
Support Time

Recent advancements in deep learning have produced significant progress in markerless human pose estimation, making it possible to estimate human kinematics from single camera videos without the need for reflective markers and specialized labs equipped with motion capture systems. Such algorithms have the potential to enable the quantification of clinical metrics from videos recorded with a handheld camera. Here we used DeepLabCut, an open-source framework for markerless pose estimation, to fine-tune a deep network to track 5 body keypoints (hip, knee, ankle, heel, and toe) in 82 below-waist videos of 8 patients with stroke performing overground walking during clinical assessments. We trained the pose estimation model by labeling the keypoints in 2 frames per video and then trained a convolutional neural network to estimate 5 clinically relevant gait parameters (cadence, double support time, swing time, stance time, and walking speed) from the trajectory of these keypoints. These results were then compared to those obtained from a clinical system for gait analysis (GAITRite®, CIR Systems). Absolute accuracy (mean error) and precision (standard deviation of error) for swing, stance, and double support time were within 0.04 ± 0.11 s; Pearson’s correlation with the reference system was moderate for swing times (<i>r</i> = 0.4–0.66), but stronger for stance and double support time (<i>r</i> = 0.93–0.95). Cadence mean error was −0.25 steps/min ± 3.9 steps/min (<i>r</i> = 0.97), while walking speed mean error was −0.02 ± 0.11 m/s (<i>r</i> = 0.92). These preliminary results suggest that single camera videos and pose estimation models based on deep networks could be used to quantify clinically relevant gait metrics in individuals poststroke, even while using assistive devices in uncontrolled environments. Such development opens the door to applications for gait analysis both inside and outside of clinical settings, without the need of sophisticated equipment.

scholarly journals Assessment of gait in patients with fibromyalgia during motor and cognitive dual task walking: a cross-sectional study

2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Goran Radunović ◽  
Zoran Veličković ◽  
Melanija Rašić ◽  
Saša Janjić ◽  
Vladana Marković ◽  
...  
Keyword(s):  
Functional Status ◽  
Dual Task ◽  
Stride Length ◽  
Clinical Symptoms ◽  
Gait Pattern ◽  
Dual Tasks ◽  
Double Support ◽  
Gait Parameters ◽  
Double Support Time ◽  
Support Time

Abstract Background The aim of the study was to assess gait pattern of patients diagnosed with fibromyalgia (FM) while performing demanding motor and/or cognitive dual tasks while walking. Further, idea was to explore possible correlations of dual task gait pattern alterations to patients’ functional status and presence or absence of clinical symptoms associated with FM. Methods Twenty-four female FM patients and 24 healthy female subjects performed a basic walking task, a dual motor, a dual mental (cognitive) and a combined, dual motor and cognitive task simultaneously. Quantitative spatial (stride length) and temporal (cycle time, swing time and double support time) gait parameters were measured using GAITRite walkway system and their variability was assessed. Patients underwent clinical examination including assessment of functional status, pain and fatigue level, psychiatric and cognitive manifestations. Results The motor, cognitive and combined dual tasks affect gait performance in FM patients. Difference in tasks between FM and healthy subjects was found as double support time prolongation. Comparison of tasks showing that cycle time in FM was longer than controls and stride length was shorter in patients for all conditions, while no changes were found in any of the gait parameters variability. Further, mental/cognitive dual tasks had a larger effect than motor tasks. Correlations were also found between depression and functional status of the patients and the gait parameters. Conclusions Gait is affected in FM patients while dual task walking. No changes in stride-to-stride variability point that patients preserve stability in complex walking situations. Analysis of gait may provide additional information for the FM identification based on presence of clinical features and cognitive status. Correlation of dual task gait alterations with occurrence of clinical symptoms and influence of cognitive changes on gait pattern could additionally define FM subgroups.

scholarly journals Changes of Motor Function according to Attention Differences in Stroke Patients: A Randomized Controlled Trial, Pilot Study

2020 ◽  
Vol 29 (3) ◽  
pp. 242-247
Author(s):  
Sun-Young Ha ◽  
Yun-Hee Sung
Keyword(s):  
Dynamic Balance ◽  
Controlled Trial ◽  
Step Length ◽  
Stroke Patients ◽  
Double Support ◽  
Randomized Controlled ◽  
Temporal Variables ◽  
Stance Time ◽  
Double Support Time ◽  
Support Time

PURPOSE: The purpose of this study was to investigate the changes of electroencephalography (EEG) activity on balance and gait while physiotherapy in stroke patients.METHODS: General physiotherapy was applied to 18 stroke patients for 30 minutes per session, 5 times a week, for a total 4 weeks. EEG measured for one week while intervention. Based on the attention score, group was classified into high and low attention groups. We used functional reaching test to measure dynamic balance and GAITRite to measure spatiotemporal variables during gait.RESULTS: In the high attention group, the sensorimotor rhythm wave was high and the dynamic balance was significantly increased (p<.05). There were significant differences in stance time, single support time, and double support time among temporal variables (p<.05). There were significant differences in step length, stride length, swing % of cycle, stance % of cycle, single support % of cycle, and double support % of cycle among the spatial gait variables (p<.05).CONCLUSIONS: The high attention during physiotherapy helps improvement of balance and gait ability in stroke patients, therefore, it may be considered in intervention.

scholarly journals Split-Belt Treadmill Adaptation Transfers to Overground Walking in Persons Poststroke

2009 ◽  
Vol 23 (7) ◽  
pp. 735-744 ◽  
Author(s):  
Darcy S. Reisman ◽  
Robert Wityk ◽  
Kenneth Silver ◽  
Amy J. Bastian
Keyword(s):  
Step Length ◽  
Overground Walking ◽  
Double Support ◽  
Context Switching ◽  
Before And After ◽  
Partial Transfer ◽  
And Gender ◽  
Double Support Time ◽  
Support Time ◽  
Control Locomotion

Background and Objective. Following stroke, subjects retain the ability to adapt interlimb symmetry on the split-belt treadmill. Critical to advancing our understanding of locomotor adaptation and its usefulness in rehabilitation is discerning whether adaptive effects observed on a treadmill transfer to walking over ground. We examined whether aftereffects following split-belt treadmill adaptation transfer to overground walking in healthy persons and those poststroke. Methods. Eleven poststroke and 11 age-matched and gender-matched healthy subjects walked over ground before and after walking on a split-belt treadmill. Adaptation and aftereffects in step length and double support time were calculated. Results. Both groups demonstrated partial transfer of the aftereffects observed on the treadmill ( P < .001) to overground walking ( P < .05), but the transfer was more robust in the subjects poststroke ( P < .05). The subjects with baseline asymmetry after stroke improved in asymmetry of step length and double limb support ( P = .06). Conclusions. The partial transfer of aftereffects to overground walking suggests that some shared neural circuits that control locomotion for different environmental contexts are adapted during split-belt treadmill walking. The larger adaptation transfer from the treadmill to overground walking in the stroke survivors may be due to difficulty adjusting their walking pattern to changing environmental demands. Such difficulties with context switching have been considered detrimental to function poststroke. However, we propose that the persistence of improved symmetry when changing context to overground walking could be used to advantage in poststroke rehabilitation.

scholarly journals Kinematic and Kinetic Patterns Related to Free-Walking in Parkinson’s Disease

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4224 ◽  
Author(s):  
Martín Martínez ◽  
Federico Villagra ◽  
Juan Castellote ◽  
María Pastor
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feature Selection ◽  
Clinical Status ◽  
Automatic Classification ◽  
Healthy Controls ◽  
Double Support ◽  
Gait Asymmetry ◽  
Double Support Time ◽  
Support Time

The aim of this study is to compare the properties of free-walking at a natural pace between mild Parkinson’s disease (PD) patients during the ON-clinical status and two control groups. In-shoe pressure-sensitive insoles were used to quantify the temporal and force characteristics of a 5-min free-walking in 11 PD patients, in 16 young healthy controls, and in 12 age-matched healthy controls. Inferential statistics analyses were performed on the kinematic and kinetic parameters to compare groups’ performances, whereas feature selection analyses and automatic classification were used to identify the signature of parkinsonian gait and to assess the performance of group classification, respectively. Compared to healthy subjects, the PD patients’ gait pattern presented significant differences in kinematic parameters associated with bilateral coordination but not in kinetics. Specifically, patients showed an increased variability in double support time, greater gait asymmetry and phase deviation, and also poorer phase coordination. Feature selection analyses based on the ReliefF algorithm on the differential parameters in PD patients revealed an effect of the clinical status, especially true in double support time variability and gait asymmetry. Automatic classification of PD patients, young and senior subjects confirmed that kinematic predictors produced a slightly better classification performance than kinetic predictors. Overall, classification accuracy of groups with a linear discriminant model which included the whole set of features (i.e., demographics and parameters extracted from the sensors) was 64.1%.

Gait differences between K3 and K4 persons with transfemoral amputation across level and non-level walking conditions

2018 ◽  
Vol 42 (6) ◽  
pp. 626-635 ◽  
Author(s):  
James A Sturk ◽  
Edward D Lemaire ◽  
Emily Sinitski ◽  
Nancy L Dudek ◽  
Markus Besemann ◽  
...  
Keyword(s):  
Root Mean Square ◽  
Mean Square ◽  
Transfemoral Amputation ◽  
Lateral Direction ◽  
Double Support ◽  
Margin Of Stability ◽  
Trunk Acceleration ◽  
Standard Deviations ◽  
Double Support Time ◽  
Support Time

Background: A transfemoral amputee’s functional level can be classified from K-level 0 (lowest) to K-level 4 (highest). Knowledge of the biomechanical differences between K3 and K4 transfemoral amputation could help inform clinical professionals and researchers in amputee care and gait assessment. Objectives: Explore gait differences between K3- and K4-level transfemoral amputation across different surface conditions. Study design: Cross-sectional study. Methods: Four K3 and six K4 transfemoral amputation and 10 matched able-bodied individuals walked in a virtual environment with simulated level and non-level surfaces on a self-paced treadmill. Stability measures included medial-lateral margin of stability, step parameters, and gait variability (standard deviations for speed, temporal-spatial parameters, root-mean-square of medial-lateral trunk acceleration). Results: K3 walked slower than K4 with wider steps, greater root-mean-square of medial-lateral trunk acceleration, and greater medial-lateral margin of stability standard deviations, indicating their stability was further challenged. K3 participants had greater asymmetry in double support time and trunk acceleration root-mean-square in the medial-lateral direction, but similar asymmetry overall. K3 participants had larger differences from AB and in more parameters than K4, although K4 differed from AB in trunk acceleration root-mean-square in the medial-lateral direction, walking speed, and double support time standard deviations. Conclusion: The findings improve our understanding of K3 and K4 transfemoral amputation gait on slopes and simulated uneven surfaces. Clinical relevance High performing and community ambulatory transfemoral amputees cannot match the ambulatory abilities of ablebodied individuals. Understanding gait differences between these groups under conditions that challenge balance is required to develop rehabilitation protocols and prosthetic componentry targeted at improving transfemoral amputee gait and overall mobility in their chosen environment.

scholarly journals Gait performance of the elderly under dual-task conditions: Review of instruments employed and kinematic parameters

2016 ◽  
Vol 19 (1) ◽  
pp. 165-182 ◽  
Author(s):  
Gisele de Cássia Gomes ◽  
Luci Fuscaldi Teixeira-Salmela ◽  
Flávia Alexandra Silveira de Freitas ◽  
Maria Luísa Morais Fonseca ◽  
Marina de Barros Pinheiro ◽  
...  
Keyword(s):  
The Elderly ◽  
Elderly Persons ◽  
Step Width ◽  
Kinematic Parameters ◽  
Time Step ◽  
Double Support ◽  
Gait Parameters ◽  
Task Conditions ◽  
Double Support Time ◽  
Support Time

Introduction The physiological deterioration associated with ageing exposes elderly persons to greater risks of falls, especially during the performance of simultaneous tasks during gait. Objectives To evaluate the effects of dual tasks (DT) on spatiotemporal gait parameters and to identify the tools and tasks most commonly used to assess the performance of DT among the elderly. Method Searches of the MEDLINE, PsycINFO, CINAHL, and SciELO databases were conducted. Observational studies, which evaluated gait changes during the performance of DT, published up to April 2014, were selected. Results A total of 385 articles were found, of which 28 were selected. Decreases in speed and increases in stride variability, stride time, step width, and double support time were observed under DT conditions. Motion analysis systems, such as the GAITRite walkway(r) system were the mostly commonly used instruments for the analyses of kinematic parameters (16 studies). DT was most commonly assessed by arithmetic calculations in 20 studies, followed by verbal fluency, in nine studies. The gait parameters most commonly assessed were speed (19 studies), followed by stride variability (14 studies). Conclusion The elderly showed changes in spatiotemporal gait parameters under DT conditions. Gait speed and stride variability were often assessed and, together, were considered good indicators of risks of falls.

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