Automatic initial contact detection during overground walking for clinical use

Sharenkov, Alexey; Agres, Alison N.; Funk, Julia F.; Duda, Georg N.; Boeth, Heide

doi:10.1016/j.gaitpost.2014.07.025

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…This newly generated triggering signal showed a very high value of CSI and sensitivity for both children and adults, with an average sensitivity in the adult group of 99.96% and an average CSI of 99.63% and similar values in the children group, 99.39% and 99.26%, respectively. These values are higher than those previously reported in [25] and [26]. Thus, our analysis confirmed an overall goodness of the proposed on-line synchronization system (Phidget trigger), which are enriched by the possibility of recovering off-line the missing information thanks to the integration of the EMG signal trigger.…”

Section: Discussionsupporting

confidence: 82%

Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

et al. 2021

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Gait training in a virtual reality (VR) environment is promising for children affected by different disorders. However, the efficacy of VR therapy is still under debate, and more research is needed to clarify its effects on clinical conditions. The combination of VR with neuroimaging methods, such as the electroencephalography (EEG), might help in answering this need. The aim of the present work was to set up and test a system for the multimodal analysis of the gait pattern during VR gait training of pediatric populations by analyzing the EEG correlates as well as the kinematic and kinetic parameters of the gait. An EEG system was integrated with the Gait Real-time Analysis Interactive Lab (GRAIL). We developed and validated, with healthy adults (n = 5) and children (n = 4, healthy or affected by cerebral palsy (CP)), the hardware and software integration of the two systems, which allowed the synchronization of the acquired signals and a reliable identification of the initial contact (IC) of each gait cycle, showing good sensitivity and critical success index values. Moreover, we tested the multimodal acquisition by successfully analyzing EEG data and kinematic and kinetic parameters of one healthy child and one child with CP. This system gives the possibility of monitoring the effect of the VR therapy and studying the neural correlates of gait.

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Section: Discussionsupporting

confidence: 82%

Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

et al. 2021

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“…Considering the idiosyncrasies of the gait patterns of children with SCP, such as FS with the forefoot instead of the heel, these algorithms can fail to accurately detect the essential elements of gait analysis. 8 In many cases, the accuracy of algorithms for automated gait event detection in children with SCP is low and, frequently, a time-consuming visual inspection becomes necessary. 4 Bruening and Ridge 4 compared the accuracy of nine algorithms for the identification of gait events in children with different types of SCP with that of visual classification.…”

Section: Introductionmentioning

confidence: 99%

Identification of gait events in children with spastic cerebral palsy: comparison between the force plate and algorithms

Gonçalves

Fonseca

Araújo

et al. 2020

Brazilian Journal of Physical Therapy

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“…(Vicon, Oxford Metrics Group, Oxford, UK). Gait events, including initial contact and toe-off were detected via an adapted version of the foot velocity algorithm [ 41 ], which used the heel markers of each foot to enable a reliable definition of the gait cycle, even in cases of toe-first contact [ 42 ]. Stride, step, stance and swing phases, as well as double limb support were computed on the basis of those two events [ 43 ].…”

Section: Methodsmentioning

confidence: 99%

The Effects of Selective Dorsal Rhizotomy on Balance and Symmetry of Gait in Children with Cerebral Palsy

et al. 2016

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AimCerebral palsy (CP) is associated with dysfunction of the upper motor neuron and results in balance problems and asymmetry during locomotion. Selective dorsal rhizotomy (SDR) is a surgical procedure that results in reduced afferent neuromotor signals from the lower extremities with the aim of improving gait. Its influence on balance and symmetry has not been assessed. The aim of this prospective cohort study was to evaluate the impact of SDR on balance and symmetry during walking.Methods18 children (10 girls, 8 boys; age 6 years (y) 3 months (m), SD 1y 8m) with bilateral spastic CP and Gross Motor Function Classification System levels I to II underwent gait analysis before and 6 to 12 months after SDR. Results were compared to 11 typically developing children (TDC; 6 girls, 5 boys; age 6y 6m, SD 1y 11m). To analyse balance, sway velocity, radial displacement and frequency were calculated. Symmetry ratios were calculated for balance measures and spatio-temporal parameters during walking.ResultsMost spatio-temporal parameters of gait, as well as all parameters of balance, improved significantly after SDR. Preoperative values of symmetry did not vary considerably between CP and TDC group and significant postoperative improvement did not occur.InterpretationThe reduction of afferent signalling through SDR improves gait by reducing balance problems rather than enhancing movement symmetry.

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Automatic initial contact detection during overground walking for clinical use

Cited by 12 publications

References 10 publications

Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

Identification of gait events in children with spastic cerebral palsy: comparison between the force plate and algorithms

The Effects of Selective Dorsal Rhizotomy on Balance and Symmetry of Gait in Children with Cerebral Palsy

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