Gait cycle and plantar pressure distribution in children with cerebral palsy: Clinically useful outcome measures for a management and rehabilitation

2014 ◽  
Vol 35 (4) ◽  
pp. 657-663 ◽  
Author(s):  
Angeline Nsenga Leunkeu ◽  
Thierry Lelard ◽  
Roy J. Shephard ◽  
Pierre-Louis Doutrellot ◽  
Said Ahmaidi
Keyword(s):  
Cerebral Palsy ◽  
Pressure Distribution ◽  
Outcome Measures ◽  
Plantar Pressure ◽  
Gait Cycle ◽  
Plantar Pressure Distribution ◽  
Children With Cerebral Palsy

Reproducibility of gait cycle and plantar pressure distribution in children with spastic hemiplegic cerebral palsy

2014 ◽  
Vol 35 (3) ◽  
pp. 597-606 ◽  
Author(s):  
Angeline Nsenga Leunkeu ◽  
Thierry Lelard ◽  
Roy J. Shephard ◽  
Pierre-Louis Doutrellot ◽  
Said Ahmaidi
Keyword(s):  
Cerebral Palsy ◽  
Pressure Distribution ◽  
Plantar Pressure ◽  
Gait Cycle ◽  
Plantar Pressure Distribution ◽  
Hemiplegic Cerebral Palsy

scholarly journals Cerebral palsy: Influence of TheraTogs ® on gait, posture and in functional performance

2017 ◽  
Vol 30 (2) ◽  
pp. 307-317
Author(s):  
Raquel Ehlert ◽  
Eliane Fátima Manfio ◽  
Regina de Oliveira Heidrich ◽  
Rafael Goldani
Keyword(s):  
Cerebral Palsy ◽  
Pressure Distribution ◽  
Plantar Pressure ◽  
Functional Performance ◽  
Self Care ◽  
Spastic Diplegia ◽  
Initial Contact ◽  
Excessive Heat ◽  
Plantar Pressure Distribution ◽  
Postural Assessment

Abstract Introduction: For children with cerebral palsy, orthoses take an important role in improving posture, gait, functional performance and preventing secondary musculoskeletal disorders. Objective: To evaluate the influence of TheraTogs® on the posture, distribution of plantar pressure during gait and functional performance of a child with spastic diplegia cerebral palsy. Methods: A quantitative evaluation was carried out on a case study in which an 11-year-old child diagnosed with diplegic cerebral palsy underwent postural assessment through the Postural Assessment Software (PAS), plantar pressure distribution assessment during barefoot gait through the Emed-X system, before and after the intervention period of 8 weeks and functional assessment (Pediatric Evaluation of Disability Inventory - PEDI), with and without TheraTogs®. Results: In posture, TheraTogs® had greater influence on hip extension and this change was greater during its use. In the plantar pressure distribution assessment, an increase in posteriorization of plantar pressure occurred in the initial contact, the performance of the push-off phase and initial swing phase improved. In functionality, the child showed improvements in mobility, however, their self-care ability with TheraTogs® was reduced. Conclusion: Although improvements in posture, gait and functionality were verified with the use of TheraTogs®, the excessive heat, difficulties in toileting and self-care were disadvantages in wearing TheraTogs®.

scholarly journals The Design and Simulation of a 16-Sensors Plantar Pressure Insole Layout for Different Applications: From Sports to Clinics, a Pilot Study

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1450
Author(s):  
Alfredo Ciniglio ◽  
Annamaria Guiotto ◽  
Fabiola Spolaor ◽  
Zimi Sawacha
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Center Of Pressure ◽  
Reaction Force ◽  
Weight Lifting ◽  
Lower Limbs ◽  
Plantar Pressure Distribution ◽  
Drop Landing ◽  
Mean Pressure ◽  
Footwear Design

The quantification of plantar pressure distribution is widely done in the diagnosis of lower limbs deformities, gait analysis, footwear design, and sport applications. To date, a number of pressure insole layouts have been proposed, with different configurations according to their applications. The goal of this study is to assess the validity of a 16-sensors (1.5 × 1.5 cm) pressure insole to detect plantar pressure distribution during different tasks in the clinic and sport domains. The data of 39 healthy adults, acquired with a Pedar-X® system (Novel GmbH, Munich, Germany) during walking, weight lifting, and drop landing, were used to simulate the insole. The sensors were distributed by considering the location of the peak pressure on all trials: 4 on the hindfoot, 3 on the midfoot, and 9 on the forefoot. The following variables were computed with both systems and compared by estimating the Root Mean Square Error (RMSE): Peak/Mean Pressure, Ground Reaction Force (GRF), Center of Pressure (COP), the distance between COP and the origin, the Contact Area. The lowest (0.61%) and highest (82.4%) RMSE values were detected during gait on the medial-lateral COP and the GRF, respectively. This approach could be used for testing different layouts on various applications prior to production.

The effect of shoe lacing on plantar pressure distribution and in-shoe displacement of the foot in healthy participants

2011 ◽  
Vol 33 (3) ◽  
pp. 396-400 ◽  
Author(s):  
Karin Elisabeth Fiedler ◽  
Wijnand Jan A. Stuijfzand ◽  
Jaap Harlaar ◽  
Joost Dekker ◽  
Heleen Beckerman
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Plantar Pressure Distribution ◽  
Healthy Participants

Influence of sensory input on plantar pressure distribution

1995 ◽  
Vol 10 (5) ◽  
pp. 271-274 ◽  
Author(s):  
H Chen ◽  
BM Nigg ◽  
M Hulliger ◽  
J de Koning
Keyword(s):  
Pressure Distribution ◽  
Plantar Pressure ◽  
Sensory Input ◽  
Plantar Pressure Distribution
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