Effect of Postural Balance Training on Gait Parameters in Children with Cerebral Palsy

El-Kafy, Ehab Mohamed Abd; El-Basatiny, Heba M Youssr

doi:10.1097/phm.0000000000000109

Cited by 39 publications

(29 citation statements)

References 20 publications

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“…The full text of the remaining 49 studies was examined in more detail. Finally, 21 studies met the inclusion criteria and were included in the literature review . In one article, only one of the studies (phase I) was included.…”

Section: Resultsmentioning

confidence: 99%

Gait parameters in children with bilateral spastic cerebral palsy: a systematic review of randomized controlled trials

Gómez-Pérez

Font-Llagunes

Martori

et al. 2018

Develop Med Child Neuro

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IGAInstrumented gait analysis RCT Randomized controlled trial sEMG Surface electromyography AIM To identify the gait parameters used to assess gait disorders in children with bilateral spastic cerebral palsy (CP) and evaluate their responsiveness to treatments. METHODA systematic search within PubMed, Web of Science, and Scopus (in English, 2000-2016) for randomized controlled trials of children with bilateral spastic CP who were assessed by instrumented gait analysis (IGA) was performed. Data related to participants and study characteristics, risk of bias, and outcome measures were collected. A list of gait parameters responsive to clinical interventions was obtained.RESULTS Twenty-one articles met the inclusion criteria. Eighty-nine gait parameters were identified, 56 of which showed responsiveness to treatments. Spatiotemporal and kinematic parameters were widely used compared to kinetic and surface electromyography data. The majority of responsive gait parameters were joint angles at the sagittal plane (flexionextension).

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Section: Resultsmentioning

confidence: 99%

Gait parameters in children with bilateral spastic cerebral palsy: a systematic review of randomized controlled trials

Gómez-Pérez

Font-Llagunes

Martori

et al. 2018

Develop Med Child Neuro

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“…3). The measures provided by this biofeedback strategy were important during the execution of the therapy: while the exoskeleton corrected the patients’ gait, the postural control strategy motivated them to maintain a proper posture during ambulation [6, 7, 11]. Figure 3-right shows an example of recording data in real time from IMUs-based system, where the measured angles for head and trunk (blue lines) in three spatial planes are compared to the ROM of the left hip during walking (red lines).…”

Section: Methodsmentioning

confidence: 99%

“…However, therapies carried out with common available devices are similar for all subjects, despite the cognitive and physical differences among them make important to tailor the therapy to the specific patient’s needs. Taking into account that maintaining a proper posture during walking is a relevant aspect in the case of children with CP [6, 7], new strategies are needed to improve postural control while over-ground movement is allowed.…”

Section: Introductionmentioning

confidence: 99%

Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report

Bayón

Lerma

Ramírez

et al. 2016

J NeuroEngineering Rehabil

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BackgroundCerebral Palsy (CP) is a disorder of posture and movement due to a defect in the immature brain. The use of robotic devices as alternative treatment to improve the gait function in patients with CP has increased. Nevertheless, current gait trainers are focused on controlling complete joint trajectories, avoiding postural control and the adaptation of the therapy to a specific patient. This paper presents the applicability of a new robotic platform called CPWalker in children with spastic diplegia.FindingsCPWalker consists of a smart walker with body weight and autonomous locomotion support and an exoskeleton for joint motion support. Likewise, CPWalker enables strategies to improve postural control during walking. The integrated robotic platform provides means for testing novel gait rehabilitation therapies in subjects with CP and similar motor disorders. Patient-tailored therapies were programmed in the device for its evaluation in three children with spastic diplegia for 5 weeks.After ten sessions of personalized training with CPWalker, the children improved the mean velocity (51.94 ± 41.97 %), cadence (29.19 ± 33.36 %) and step length (26.49 ± 19.58 %) in each leg. Post-3D gait assessments provided kinematic outcomes closer to normal values than Pre-3D assessments.ConclusionsThe results show the potential of the novel robotic platform to serve as a rehabilitation tool. The autonomous locomotion and impedance control enhanced the children’s participation during therapies. Moreover, participants’ postural control was substantially improved, which indicates the usefulness of the approach based on promoting the patient’s trunk control while the locomotion therapy is executed. Although results are promising, further studies with bigger sample size are required.Electronic supplementary materialThe online version of this article (doi:10.1186/s12984-016-0206-x) contains supplementary material, which is available to authorized users.

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“…Gait analysis is a useful tool for assessing and comparing human movement patterns to gain insight into a variety of health-related factors. Spatiotemporal gait parameters are one form of data obtained through gait analysis that have been shown to be useful clinical measures that can detect 'negative' changes in individuals' gait patterns due to pathology (Elbaz et al, 2014;Givon et al, 2009;Lemke et al, 2000;Morris et al, 2001) or aging (Hollman et al, 2011), and 'positive' changes due to rehabilitation (Fung et al, 2006;Patterson et al, 2008) or locomotor training (Abd El-Kafy and El-Basatiny, 2014;Smania et al, 2011;Vitale et al, 2012). They have been implemented to study the gait patterns of children (Alderson et al, 2019), older adults (Vallabhajosula et al, 2019), individuals with Parkinson's disease (Mondal et al, 2019), dementia (Darweesh et al, 2019), multiple sclerosis (Novotna et al, 2019), and post-stroke patients (Cleland et al, 2019) as a few examples.…”

Section: Introductionmentioning

confidence: 99%

Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

Kanko¹,

Strutzenberger²,

Brown³

et al. 2020

Preprint

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Spatiotemporal parameters can characterize the gait patterns of individuals, allowing assessment of their health status and detection of clinically meaningful changes in their gait. Video-based markerless motion capture is a user-friendly, inexpensive, and widely applicable technology that could reduce the barriers to measuring spatiotemporal gait parameters in clinical and more diverse settings. The aim of this work was to determine whether spatiotemporal gait parameters measured using Theia3D markerless motion capture demonstrate concurrent validity with those measured using marker-based motion capture. Thirty healthy adult participants performed treadmill walking at self-selected speeds while 2D video and marker-based motion capture data were collected simultaneously. Kinematic-based gait events were used to measure nine spatiotemporal gait parameters from both systems independently. The parameters were compared using their group means, Bland-Altman methods, Pearson correlation coefficients, paired-samples t-tests, and intraclass correlation coefficients (ICC(A-1) and ICC(C-1)). Group means between systems were indistinguishable across all nine gait parameters, and the Bland-Altman plots showed no systematic biases or clinically meaningful differences between the systems. Pearson coefficients indicated near-perfect correlations (r ≥0.96) between systems for all but two parameters, which had strong correlations (double-limb support time, r=0.87; swing time, r=0.88). T-tests indicated differences in stance, swing, and double-limb support time parameters, but strong correlations were found for all ICCs, the lowest being 0.84 for both double-limb support time and swing time. The measurements made by the Theia3D markerless motion capture system demonstrated concurrent validity with those from the marker-based system, indicating sufficient accuracy for research, clinical, and other uses.

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Effect of Postural Balance Training on Gait Parameters in Children with Cerebral Palsy

Abstract: Balance training on the Biodex Stability System could be a useful tool in conjunction with traditional physical therapy program for improving balance control and gait functions in children with spastic diplegic cerebral palsy.

Cited by 39 publications

References 20 publications

Gait parameters in children with bilateral spastic cerebral palsy: a systematic review of randomized controlled trials

Gait parameters in children with bilateral spastic cerebral palsy: a systematic review of randomized controlled trials

Locomotor training through a novel robotic platform for gait rehabilitation in pediatric population: short report

Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

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