The assessment of material handling strategies in dealing with sudden loading: The effects of load handling position on trunk biomechanics

Ning, Xiaopeng; Zhou, Jie; Dai, Boyi; Jaridi, Majid

doi:10.1016/j.apergo.2014.03.008

Cited by 49 publications

(27 citation statements)

References 32 publications

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“…Awkward postures have been identified as risk factors for the musculoskeletal system, especially in the construction field [12][13][14][15]. Though different guidelines have been designed for risk assessments, they have not always been definitive due to factors such as high variability, repetitiveness, and a low standardization of tasks [16][17][18][19][20][21][22]. Ergonomics investigations, based on measurements of kinematic and dynamic parameters that are obtained through motion analysis, might be helpful in designing risk management in a real manufacturing scenario.…”

Section: Introductionmentioning

confidence: 99%

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Conforti

Mileti

Prete

et al. 2020

Sensors

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Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance of high stress on the back and on the lower extremities, while an incorrect posture increases spinal stress. Here, we propose a solution for the recognition of postural patterns through wearable sensors and machine-learning algorithms fed with kinematic data. Twenty-six healthy subjects equipped with eight wireless inertial measurement units (IMUs) performed manual material handling tasks, such as lifting and releasing small loads, with two postural patterns: correctly and incorrectly. Measurements of kinematic parameters, such as the range of motion of lower limb and lumbosacral joints, along with the displacement of the trunk with respect to the pelvis, were estimated from IMU measurements through a biomechanical model. Statistical differences were found for all kinematic parameters between the correct and the incorrect postures (p < 0.01). Moreover, with the weight increase of load in the lifting task, changes in hip and trunk kinematics were observed (p < 0.01). To automatically identify the two postures, a supervised machine-learning algorithm, a support vector machine, was trained, and an accuracy of 99.4% (specificity of 100%) was reached by using the measurements of all kinematic parameters as features. Meanwhile, an accuracy of 76.9% (specificity of 76.9%) was reached by using the measurements of kinematic parameters related to the trunk body segment.

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Section: Introductionmentioning

confidence: 99%

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Conforti

Mileti

Prete

et al. 2020

Sensors

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“…Esse processo é caracterizado por uma atividade que tem alta demanda de energia e por requerer medidas de força física durante o levantamento da carga a ser movimentada. Dessa forma, as estruturas lombares sofrem compressões multidirecionais, e qualquer alteração no centro gravitacional dos discos intervertebrais compromete os segmentos subsequentes, ocasionando lesões na região (Byrns, 2002;Chou, 2010;Dreischarf et al, 2015;Jäger et al, 2000;Ning et al, 2014;Oxley, Riley & Tapley, 2009;Tafazzol et al, 2015;Violante, Mattioli & Bonfiglioli, 2015). Chou (2010) define a lombalgia como dor, tensão muscular, rigidez localizada abaixo da margem costal e acima da dobra glútea inferior, com ou sem dor nas pernas.…”

Section: Introductionunclassified

Rospecção Tecnológica Sobre Acessórios Para a Estabilização Da Coluna Lombar Durante O Transporte Manual De Cargas

Santos¹,

Monteiro²

2018

Revista Gestão e Inovação

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Resumo O objetivo deste estudo foi realizar uma prospecção tecnológica de acessórios para a estabilização da coluna lombar durante o transporte manual de cargas. Para tanto, foram utilizados os bancos de patentes do Instituto Nacional da Propriedade Industrial, World Intellectual Property Organization e European Patent Office. As buscas retornaram um volume de 2524 documentos de patentes. Com base nos critérios de triagem estabelecidos, foi possível resgatar um total de 1433 desses documentos. O banco de patentes do European Patent Office aglutinou 54,50% dos documentos encontrados, enquanto o World Intellectual Property Organization e Instituto Nacional da Propriedade Industrial 45,15% e 0,35%, respectivamente. Nesta análise, foi verificado que 65,74% possuíam como titulares as empresas, 32,17% inventores independentes e 2,09% Instituições de Ciência e Tecnologia. Constatou-se, ainda, que os Estados Unidos apresentaram o maior número de patentes, as quais representaram 19,89% do total depositado. Na análise das principais patentes, algumas limitações foram identificadas, as quais subsidiarão a construção de estratégias e identificação de potenciais rotas para o aperfeiçoamento das tecnologias identificadas. Palavras-chave: Estabilização da coluna lombar. Transporte manual de cargas. Prospecção tecnológica.

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Prospecção Tecnológica Sobre Acessórios Para a Estabilização Da Coluna Lombar Durante O Transporte Manual De Cargas

Santos¹,

Monteiro²

2017

Revista Gestão e Inovação

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The assessment of material handling strategies in dealing with sudden loading: The effects of load handling position on trunk biomechanics

Cited by 49 publications

References 32 publications

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Rospecção Tecnológica Sobre Acessórios Para a Estabilização Da Coluna Lombar Durante O Transporte Manual De Cargas

Prospecção Tecnológica Sobre Acessórios Para a Estabilização Da Coluna Lombar Durante O Transporte Manual De Cargas

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