Gait energy expenditure in children with Duchenne muscular dystrophy: case study

Souza, Mariana Angélica de; Ferreira, Marília Ester; Baptista, Cyntia de Jesus Alves de Rogean; Sverzut, Ana Cláudia Mattiello

doi:10.1590/1809-2950/63621022014

Cited by 3 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As crianças realizaram o teste de caminhada na piscina em uma área denominada platô (superfície plana onde e realizado o treino de marcha) e percorreram uma distancia de 15 metros durante 06 minutos, foi oferecido o mesmo comando verbal do solo. Foi realizado primeiro o teste em solo e em seguida as crianças foram orientadas a manter o repouso de 30 minutos com objetivo de retornar os parâmetros basais e eliminar o fator fadiga 9,12,13 . Após este período foi realizado o teste no ambiente aquático.…”

Section: Procedimentounclassified

Energy expenditure analysis in Duchenne muscular dystrophy in land and aquatic environment

Silva

Hengles²,

Verdiani³

et al. 2015

RNC

View full text Add to dashboard Cite

original RESUMO Introdução. A Distrofia Muscular de Duchenne (DMD) é uma doença progressiva, caracterizada pela degeneração progressiva das fibras musculares necessitando de maior demanda energética durante as atividades funcionais. Desta forma, é imprescindível a avaliação clínica do gasto energético em diferentes atividades e ambientes. Objetivos. Analisar o gasto energético de crianças com DMD durante a marcha nos ambientes aquático e terrestre. Método. Participaram deste estudo 8 meninos com DMD (10,4±0,5 anos), deambuladores, colaborativo para a realização dos testes, não estavam inseridos em programas de reabilitação e não apresentaram doenças associadas. Foi realizado o Teste de caminhada de 6 minutos e calculamos o índice de gasto energético (IGE) através da fórmula: FC final -FC inicial dividida pela velocidade (metros/segundo), sendo expresso em batimentos/ minuto nos meios aquático e terrestre. Resultados. Observamos que no ambiente aquático os pacientes com DMD percorreram um distância menor, comparado ao solo (p=0,012). Quanto ao Índice de Gasto Energético (IGE), os pacientes com DMD obtiveram uma média no solo de 0,43±0,15 e na água de 3,69±0,44 (p=0,012). Conclusões. Os pacientes percorreram uma distância menor e com um gasto energéti-co maior no ambiente aquático, quando comparado com o terrestre.Unitermos. Distrofia Muscular de Duchenne, Marcha, Metabolismo Energético, Ambiente Aquático Citação. Silva KM, Hengles RC, Verdiani MB, Cecconi ME, Rocco FM, Braga DM. Análise do gasto energético na Distrofia muscular de Duchenne nos ambientes aquático e terrestre. ABSTRACTIntroduction. Duchenne muscular dystrophy (DMD) is a progressive genetic disease, characterized by progressive and irreversible degeneration of muscle fibers, requiring energy demand during functional activities. Given this characteristic, energy expenditure becomes a key factor in a rehabilitation program. So, it is essential energy expenditure clinical assessment in different environments. Objective. Analyze the energy expenditure of children with DMD during gait in aquatic and land environments. Method. The study included 8 boys with DMD (10.4±0.5 years), ambulating and collaborative for testing. They were not included in rehabilitation programs and had no associated diseases. It was applied 6-minute walk test (6MWT) in land and aquatic environment, and calculate energy expenditure index by the formula: End FC -divided by the initial speed FC (meters/ second) and is expressed in beats/minute in the aquatic and terrestrial. Results. It was observed that DMD patients walked (p=0.012) a shorter distance in water in relation to the ground. DMD patients had (p=0.012) higher average of energy expenditure in aquatic environment (3.69±0.44) when compared to land (0.43±0.15). Conclusion. The patients walked a shorter distance and with higher energy expenditure in aquatic environment.Keywords. Muscular Dystrophy Duchenne, Gait, Energy Metabolism, Aquatic Environment Citation. Silva KM, Hengles RC, Verdiani MB, Cecconi ME, Rocco FM, Braga DM....

show abstract

Section: Procedimentounclassified

Energy expenditure analysis in Duchenne muscular dystrophy in land and aquatic environment

Silva

Hengles²,

Verdiani³

et al. 2015

RNC

View full text Add to dashboard Cite

show abstract

“…Elliott et al [ 10 ] predicted REE using existing equations based on anthropomorphic features and fat-free mass. Souza et al [ 11 ] estimated EE during ambulatory activities for a study of 3 patients using a linear formula based on heart rate.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy

Pande¹,

Mohapatra²,

Nicorici³

et al. 2016

JMIR Rehabil Assist Technol

View full text Add to dashboard Cite

BackgroundChildren with physical impairments are at a greater risk for obesity and decreased physical activity. A better understanding of physical activity pattern and energy expenditure (EE) would lead to a more targeted approach to intervention.ObjectiveThis study focuses on studying the use of machine-learning algorithms for EE estimation in children with disabilities. A pilot study was conducted on children with Duchenne muscular dystrophy (DMD) to identify important factors for determining EE and develop a novel algorithm to accurately estimate EE from wearable sensor-collected data.MethodsThere were 7 boys with DMD, 6 healthy control boys, and 22 control adults recruited. Data were collected using smartphone accelerometer and chest-worn heart rate sensors. The gold standard EE values were obtained from the COSMED K4b2 portable cardiopulmonary metabolic unit worn by boys (aged 6-10 years) with DMD and controls. Data from this sensor setup were collected simultaneously during a series of concurrent activities. Linear regression and nonlinear machine-learning–based approaches were used to analyze the relationship between accelerometer and heart rate readings and COSMED values.ResultsExisting calorimetry equations using linear regression and nonlinear machine-learning–based models, developed for healthy adults and young children, give low correlation to actual EE values in children with disabilities (14%-40%). The proposed model for boys with DMD uses ensemble machine learning techniques and gives a 91% correlation with actual measured EE values (root mean square error of 0.017).ConclusionsOur results confirm that the methods developed to determine EE using accelerometer and heart rate sensor values in normal adults are not appropriate for children with disabilities and should not be used. A much more accurate model is obtained using machine-learning–based nonlinear regression specifically developed for this target population.

show abstract

Análise do gasto energético na Distrofia muscular de Duchenne nos ambientes aquático e terrestre

Silva¹,

Hengles²,

Verdiani³

et al. 2015

Rev Neurocienc

View full text Add to dashboard Cite

Introdução. A Distrofia Muscular de Duchenne (DMD) é uma doença progressiva, caracterizada pela degeneração progressiva das fibras musculares necessitando de maior demanda energética durante as atividades funcionais. Desta forma, é imprescindível a avaliação clínica do gasto energético em diferentes atividades e ambientes. Objetivos. Analisar o gasto energético de crianças com DMD durante a marcha nos ambientes aquático e terrestre. Método. Participaram deste estudo 8 meninos com DMD (10,4±0,5 anos), deambuladores, colaborativo para a realização dos testes, não estavam inseridos em programas de reabilitação e não apresentaram doenças associadas. Foi realizado o Teste de caminhada de 6 minutos e calculamos o índice de gasto energético (IGE) através da fórmula: FC final - FC inicial dividida pela velocidade (metros/segundo), sendo expresso em batimentos/ minuto nos meios aquático e terrestre. Resultados. Observamos que no ambiente aquático os pacientes com DMD percorreram um distância menor, comparado ao solo (p=0,012). Quanto ao Índice de Gasto Energético (IGE), os pacientes com DMD obtiveram uma média no solo de 0,43±0,15 e na água de 3,69±0,44 (p=0,012). Conclusões. Os pacientes percorreram uma distância menor e com um gasto energético maior no ambiente aquático, quando comparado com o terrestre.

show abstract

Gait energy expenditure in children with Duchenne muscular dystrophy: case study

Cited by 3 publications

References 21 publications

Energy expenditure analysis in Duchenne muscular dystrophy in land and aquatic environment

Energy expenditure analysis in Duchenne muscular dystrophy in land and aquatic environment

Machine Learning to Improve Energy Expenditure Estimation in Children With Disabilities: A Pilot Study in Duchenne Muscular Dystrophy

Análise do gasto energético na Distrofia muscular de Duchenne nos ambientes aquático e terrestre

Contact Info

Product

Resources

About