Maximum acceptable weight of lift reflects peak lumbosacral extension moments in a functional capacity evaluation test using free style, stoop and squat lifting

Kuijer, Paul; Oostrom, Sandra H van; Duijzer, K; Dieën, Jaap H. van

doi:10.1080/00140139.2011.642005

Cited by 11 publications

(5 citation statements)

References 36 publications

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“…Another explanation is that most construction workers in the present study reported sick due to a low-back disorder (30%). These FCE lifting tests are strongly related to the maximum biomechanical lumbosacral extension moment of an individual (18).…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of self-reported work ability and performance-based lifting tests for sustainable return to work among construction workers

Kuijer¹,

Gouttebarge²,

Wind³

et al. 2012

Scand J Work Environ Health

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Section: Discussionmentioning

confidence: 99%

Prognostic value of self-reported work ability and performance-based lifting tests for sustainable return to work among construction workers

Kuijer¹,

Gouttebarge²,

Wind³

et al. 2012

Scand J Work Environ Health

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“…Optical marker trajectories obtained by OTS were filtered by 4th-order, low-pass Butterworth filter and cut-off frequency was set at 5 Hz [12]. Kinematic data of the lower extremities and L5/S1 moments were calculated using Euler angle and numerical differentiation methods.…”

Section: Data Processingmentioning

confidence: 99%

“…Calculating moments using an OTS is considered as the golden standard method. Many studies have been conducted to measure the lower extremity and L5/S1 moment during symmetric and asymmetric lifting [1,6,8,11,12]. However, the OTS has a disadvantage in that it is impossible to be utilized in a working environment due to spatial constraints [13,14].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Model to Estimate Net Joint Moments during Lifting Task Using Wearable Sensors: A Preliminary Study for Design of Exoskeleton Control System

et al. 2021

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Accurately measuring the lower extremities and L5/S1 moments is important since L5/S1 moments are the principal parameters that measure the risk of musculoskeletal diseases during lifting. In this study, protocol that predicts lower extremities and L5/S1 moments with an insole sensor was proposed to replace the prior methods that have spatial constraints. The protocol is hierarchically composed of a classification model and a regression model to predict joint moments. Additionally, a single LSTM model was developed to compare with proposed protocol. To optimize hyperparameters of the machine learning model and input feature, Bayesian optimization method was adopted. As a result, the proposed protocol showed a relative root mean square error (rRMSE) of 8.06~13.88% while the single LSTM showed 9.30~18.66% rRMSE. This protocol in this research is expected to be a starting point for developing a system for estimating the lower extremity and L5/S1 moment during lifting that can replace the complex prior method and adopted to workplace environments. This novel study has the potential to precisely design a feedback iterative control system of an exoskeleton for the appropriate generation of an actuator torque.

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“…While there have been a number of studies that have compared the kinetic and kinematic characteristics between the stoop and squat lifting techniques10,11,12 ) , one characteristic of occupational lifting techniques that has not been considered is lifting stance width. Therefore, the purpose of the current study was to examine the correlation between the muscle activities and joint angles of the hip and knee according to the changes in stance width during a lifting task.…”

Section: Introductionmentioning

confidence: 99%

The Correlation between the Muscle Activity and Joint Angle of the Lower Extremity According to the Changes in Stance Width during a Lifting Task

Yoon

2013

J Phys Ther Sci

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[Purpose] This study examined the correlation between the muscle activities and joint angle of the hip and knee according to the changes in stance width during a lifting task. [Subjects and Methods] The subjects of this study were 15 healthy students. A three-dimensional motion analyzer (SMART-E, BTS, Italy) was used to measure the joint angles of hip and knee during lifting. An 8-channel electromyograph (8-EMG) (Pocket EMG, BTS, Italy) was used to measure muscle activities of the erector spinae, gluteus maximus, rectus femoris, and tibialis anterior during lifting. The collected data were analyzed using the Pearson-test and SPSS 18.0. [Result] The muscle activity of the tibialis anterior was significantly decreased by increasing the stance width (r= −0.285). Muscle activity of the erector spinae was significantly decreased by increasing the knee angle (r= −0.444). The muscle activity of the gluteus maximus was significantly increased by increasing the muscle activity of the tibialis anterior (r= 0.295). [Conclusion] Efficient lifting is possible when stance width and knee flexion are increased, which results in reduced muscle activity of the tibialis anterior and the erector spinae. Lifting is facilitated when the muscle activities of the gluteus maximus and tibialis anterior are correlated.

show abstract

Maximum acceptable weight of lift reflects peak lumbosacral extension moments in a functional capacity evaluation test using free style, stoop and squat lifting

Cited by 11 publications

References 36 publications

Prognostic value of self-reported work ability and performance-based lifting tests for sustainable return to work among construction workers

Prognostic value of self-reported work ability and performance-based lifting tests for sustainable return to work among construction workers

Machine Learning Model to Estimate Net Joint Moments during Lifting Task Using Wearable Sensors: A Preliminary Study for Design of Exoskeleton Control System

The Correlation between the Muscle Activity and Joint Angle of the Lower Extremity According to the Changes in Stance Width during a Lifting Task

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